factored/fr-crawler-private · Datasets at Hugging Face

labels class label 7 classes	text stringlengths 19 772
3Data Scientist	Created a recommender system using association rules (market basket analysis: products usually bought together) with SQL Server Analysis Services for a retail company provider in Panamá.
0Data Engineer	Trained students to model and evaluate stochastic systems and derive business recommendations through simulated environments.
3Data Scientist	Developed a loan default predictive model based on an imbalanced dataset stored in PostgreSQL, with a 3% default rate acceptance. Applied game theory SHAP framework to interpret predictions and help both business and clients determine which variables increase or decrease credit scores, and identify ways to improve outcome. This model and its interpretability was served through a dockerized API.
0Data Engineer	Supported, developed and implemented a software system for payroll loans for different clients in a Brazilian Consulting Company.
3Data Scientist	Analyzed and monitored revenue and demand forecasts for air routes with revenues greater than 100 million dollars annually, generating a 2% impact on route revenues for one of the largest national Colombian airlines.
2Data Analyst	Designed and developed dashboards using BI tools.
3Data Scientist	Participated in the software development team projects, collaborating often with backend developers, business analysts, and UXUI designers.
1Machine Learning Engineer	Train a Convolutional Neural network using Keras to classify gender through face images as a proof of concept for an analytics project that counts the number of people in a transportation system.
0Data Engineer	Developed an end-to-end automated report generation app using Docker and AWS.
1Machine Learning Engineer	Created a ticket classification application using Python to automate the work of interns and analysts, reducing classification time from weeks to hours.
1Machine Learning Engineer	Compare the performance of convolutional models and a support vector machine using classification metrics (precision-recall, ACA, confusion matrix) to select the most suitable model for the state assessment of rolling bearings. The solution involved a hybrid convolutional model based on EfficientNet that uses thermal images and temperature data, outperforming state-of-the-art approaches in all metrics with 92% accuracy.
1Machine Learning Engineer	Integrated and analyzed more than 30 dealers financial statements using R and Power BI WHY? FOR WHAT? FOR WHOM?
5Analytics Engineer	Created an ETL and ELT data pipelines using Python whilst applying CICD best practices.
2Data Analyst	Defined data pipelines using Google Cloud Storage, Apache Airflow and Looker to process data from multiple sources, enabling different areas within a pension fund company to share, analyze, and visualize information cross functionally to enhance decision making.
1Machine Learning Engineer	Collaborate with Traffik Analysis Hub ONG and Stop The Traffik to share information with multiple financial institutions in the UK and Ireland for improving clients’ risk assessment.
0Data Engineer	Custom reports for taxes and legal institutions.
3Data Scientist	Developed a time estimation model using a support vector machine with Scikit-learn to give information to clients about their pension requisitions and times.
1Machine Learning Engineer	Created an ETL process to acquire over 100k images, serialize them into TFRecords and load them into an AWS EBS volume to be consumed by a computer vision model in TensorFlow. Trained an object detection model using the TensorFlow Object Detection API on an AWS EC2 instance with a GPU, set up an experiment tracking server with MLFlow, and deployed the dockerized application using AWS API Gateway and AWS Lambda. Built a web application using Streamlit to let the users upload images and interact with the deployed model.
0Data Engineer	Created data-quality ingestion failure scripts using Python to generate an alert when incoming data is malformed.
2Data Analyst	Supported the technical leader on the design of the solution proposal and its presentation to the Product Owner.
0Data Engineer	Deployed a Python API and a MongoDB server into a Kubernetes cluster with separate namespaces and pods for each service.
1Machine Learning Engineer	Customized warehouse management software and database.
3Data Scientist	Worked as the head of the data team, being the main decision maker and planner for all data-related matters in the company.
0Data Engineer	Gave support as a Product Owner searching for investors, and talking closely with early adopters and potential customers.
5Analytics Engineer	Developed and maintained ETL processes on different systems like AWS Glue and Databricks using different coding languages like Python and PHP to handle Big Data information sources both in batch and streaming.
2Data Analyst	Implemented a Data Catalog using PowerBI as dynamic tool for interaction and fast search metadata.
2Data Analyst	Created benchmark between top BI tools.
0Data Engineer	Performed ETL workloads migration from on-premise Teradata to GCP solutions, and scripts migrations from Perl to Python through BigQuery setup using Python, Cloud Storage, PubSub, Dataflow, Dataproc, Compute Engine, Dataprep for one of the biggest retailers in Argentina.
0Data Engineer	Built a BI pipeline for one of the companies in the venture using SQL Server and PowerBI.
5Analytics Engineer	Designed and implemented reliable dashboards using Power BI and Tableau to facilitate KPIs monitoring and decision-making.
1Machine Learning Engineer	Managed ML lifecycle with MLFlow.
1Machine Learning Engineer	Implemented and deployed a fine tuned CLIP model to obtain similar images given a text or an image prompt. Used Spotify’s Annoy library to perform approximate nearest neighbor search on the embedding space, and displayed the results in a interface in which users can obtain
1Machine Learning Engineer	Designed an algorithm that uses a pose segmentation model to add further detail to a set of image parsing annotations that had grouped together parts of the body that could be separated into left and right sections.
0Data Engineer	Migrated a Talend On-Premise platform to Talend Cloud.
2Data Analyst	Created and developed SQL queries and a Power BI dashboard for the CPGs catalog team to identify the different stages of an order (assignment, product selection, pickup, delivery) and analyze delay peaks, reducing the overall order time by 15%.
1Machine Learning Engineer	Deployed an interactive dashboard in Streamlit using the Plotly from Python with an exploratory data analysis (EDA) on particulate matter in the air of Bogotá and Medellín; visualizations included a heat map of each city and the results of a forecasting model.
0Data Engineer	Implemented CICD pipelines to automate infrastructure deployment using Github Actions and Terraform.
0Data Engineer	Worked as a full-stack developer from the beginning to the end of the project.
5Analytics Engineer	Created automated data flow processes using Powerapps, Powerautomate and SharePoint to feed Power Bi Dashboards.
0Data Engineer	Developed email notification features in Python.
0Data Engineer	Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog.
2Data Analyst	Encouraged Power BI adoption within different departments and regions of the organization. Supported (a) Excel and Qlik reports migration to Power BI to centralize reports storage and manage, (b) data extraction and cleansing processes using SQL, Power Query and Alteryx, and (c) Power BI dashboards design, which improved reports democratization and enabled meaningful insight generation throughout the organization.
0Data Engineer	Designed, built, deployed, and maintained big data ETL workflows using Python, Pyspark, and Airflow to feed classification and clusterization models and build data storages using data warehouses technologies including Big Query and data lakes such as S3 and google cloud storage for BI and AI purposes.
0Data Engineer	Partnered with developers to provide data perspective, including data needs for customer communications, identifiers for reconciliations, and data needs for product owners and analysts for analysis. Assisted with various system integrations to enable data insights and improve data flows across the organization.
0Data Engineer	Developed a cloud analytics PoC to analyze viewer behavior and discover new TV scheduling opportunities for a multinational television production company using AWS and GCP analytics services including Athena, Glue, EMR, Google Cloud Storage and BigQuery.
0Data Engineer	Implemented ETL transformations and pipelines combining batch and streaming processes with Spark and Kafka in Databricks as a POC development to evaluate different data sources and targets, inspect functionality and gather useful insights and best practices to share with the development team.
4MLOps	Applying multithreading techniques, the team were able to almost double the throughput of processed
0Data Engineer	Work with stake holders to gather requirements and define data products need for business. Guide and mentoring developers under my charge, to focus on plan and deliver data products agreed with stake holders. Manage expectations for new data products and help revamp the data warehouse and data lake to complain with new goals of the company. Propose guidelines for requirements and products to have better communication with stake holders. Work closely with BI and Data Science team to provide data products that each team needs. 2020-01 - aff Dat - St a Engineer Healthcare.com, Guatemala, Guatemala Focus on mentoring junior engineers to work with the company structures and standards. Define code standards and unit testing strategies for
2Data Analyst	Implemented an automatization of key processes of stock control in warehouses using SQL and Python.
1Machine Learning Engineer	Creation of ETLELT processes to handle large amounts of structured and unstructured data (e.g., image and text) to feed automl, deep learning and machine learning models.
3Data Scientist	Developed an algorithm to normalize supplier names across different ERP systems of a top worldwide consulting company, using Pandas, Numpy, fuzzy matching principles, graph-based clusterization solutions, and multithreading and asynchronous (pool, asyncio) libraries to extract information about the supplier, and determine a similarity score between company names. The model obtained an adjusted mutual information (AMI) score of 91% and vastly helped the procurement operations team by reducing normalization errors and enabling analysts to extract more accurate aggregated metrics.
0Data Engineer	Certificated the compliance of data governance policies by running some queries using ImpalaHive to validate data.
1Machine Learning Engineer	Applied computer vision algorithms on biomedical image analysis to enable performance of different convolutional neural networks that helped surgeons to avoid bile duct injuries during laparoscopic cholecystectomy exam.
0Data Engineer	Developed streaming pipelines using Scala to expose capabilities for listeners aiming to monitor data pipelines and capture important data to ensure data stages completeness that was evaluated to be implemented at a health care provider company in the US.
2Data Analyst	Defined key metrics to help drive strategic business decisions.
3Data Scientist	Applied computer vision algorithms on biomedical image analysis to enable performance of different convolutional neural networks that helped surgeons to avoid bile duct injuries during laparoscopic cholecystectomy exam.
1Machine Learning Engineer	Migrated solutions and pipelines to the cloud environment.
3Data Scientist	Extracted, transformed and analyzed data from transport mobility surveys and geographic information systems’s API to geocode addresses using R in order to find commute time, and preprocess and visualize shape files as maps.
2Data Analyst	Implemented a data connector in the Domo ecosystem using Javascript to pull data coming from the Customer Success tool’s API and designed a reliable dashboard for the customer success team to understand and address customers’ pain points.
2Data Analyst	Responsible for supervising a Data Analyst Junior in projects.
0Data Engineer	Taught Python courses to university students.
0Data Engineer	Develop and migration of data pipelines to big data with hadoop Technologies : sap data integration, oracle database, hadoop
0Data Engineer	Integrated Google services in the project (Storage and BigQuery).
6Software Engineer	Developed and taught MOOC courses about parametric design for the Colombian Society for Architects.
1Machine Learning Engineer	Created ELT ETL routines.
3Data Scientist	Developed a demand forecasting model in Python applying time-series forecasting algorithms (ARIMA) and Machine Learning models (Xgboost) to predict sales in advance using historical information from a multinational retail corporation.
1Machine Learning Engineer	Built the frontend for a default prediction model application using Streamlit and deployed it as an app using FastAPI and Docker.
3Data Scientist	Mapped business problems to advanced analytics and data-driven solutions to derive insights and drive value for customers across different industries.
0Data Engineer	Optimized queries and developed SQL Server views, functions, and stored procedures on an ad hoc basis.
0Data Engineer	Consumed data from the Hubspot API to load into raw layers in a data lake, filtered, and moved it into a clean layer to serve downstream applications using Python, Docker, AWS EC2, and S3 Bucket. It automated sending messages between people into an instant messaging program.
2Data Analyst	Designed and developed dashboards and reports using to visualize and track business metrics and KPIs that enabled real-time data analysis and insight generation for business areas, which allowed senior management to make better management and strategic decisions. Scope included requirement gathering, business understanding and KPI definition.
2Data Analyst	Developed the first Interactive Report of the Finance Directorate connected to databases of accounting and operational teams using MS SQL Server and Power BI. Included over 15 KPI and financial indicators.
1Machine Learning Engineer	Created a workflow to label images using LabelStudio, AWS S3 and a Databricks job to load, annotate and download the image annotations to be ready for model training.
0Data Engineer	Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog.
2Data Analyst	Led the implementation of the Analytics Engineering Initiative inside the company.
3Data Scientist	Build an NLP model to identify Covid19 related comments in reservations, using Alteryx and NPL statistics (TF-IDF). This allowed the business to quantify the impact of the pandemic by understanding why the customers were being denied the boarding stage.
0Data Engineer	Designed, planned and implemented automated credit cards consumer scheduled reports through AWS architecture using Cloudwatch events, Lambda functions, Step Functions, Terraform, and Databricks Notebooks for an American global entertainment company.
1Machine Learning Engineer	Developed a proprietary ML library using scikit-learn, SHAP, and other ML libraries to facilitate the access to the latest machine learning (ML) capabilities developed internally. This delivered the possibility to use those capabilities in less than 20 minutes.
0Data Engineer	Analyzed and improved checkout management and inventory management processes. Integrated Shopify Plus to enable sales data import to an in-house ERP, improve logistics for shipping, and simplify checkout customizations for each product.
0Data Engineer	Analyzed KPIs such as SLA, Absenteeism, Customer Satisfaction and Quality Assurance to track and get insights from agents’ performance using Excel and Power BI reducing costs by 10K USD in 4 months.
3Data Scientist	Developed hardware interfaces using Python.
0Data Engineer	Collected data from multiple sources using Python Scripts, Lambda and EC2 and loaded using AWS Athena to make it available for the data scientist team in AWS S3 data lake.
0Data Engineer	Production line stopping due to out-of-stock hardware.
3Data Scientist	Implemented a full application load testing platform using Locust and a cluster in AWS for distributed testing to identify costs, bottlenecks, and operating capacity for a MaaS platform; the platform used multiple AWS Services (mainly RDS, ECS, Lambda, API Gateway, DynamoDB).
0Data Engineer	Contributed to planning and execution of an in-house ERP development project using VB.NET and MySQL.
1Machine Learning Engineer	Worked on an object detection application that uses the YOLO algorithm to detect different classes in a subset of the OpenImages dataset.Created an ETL where the final outputs were the images and bounding boxes in a TensorFlow friendly format. Fine-tuned the model using an AWS EC2 instance, and deployed the final app developed with FastAPI + Streamlit using Docker-compose.
0Data Engineer	Developed dashboards and reports using data analytics techniques with SAS Visual Analytics to support business decisions and find powerful insights.
3Data Scientist	Set up a CICD pipeline for a classification task using MLflow and GitHub Actions that logged metrics and artifacts of trained models, wrapped them in a FastAPI application, performed unit tests on endpoints, built Docker images pushed to AWS ECR, and deployed the application using AWS API Gateway and AWS Lambda. Used DVC and AWS S3 to manage the data used to train the model.
1Machine Learning Engineer	Built a full-stack NLP application for resume information administration, using Pytorch, FastAPI, AWS S3 , AWS Lambda and Vue JS. Designed and deployed an algorithm to parse resume information from pdf files into Json file, and automate data ingestion into the platform.
1Machine Learning Engineer	Created a classification model using XGBoost to help the drilling project management team of the biggest oil company in Colombia predict project delays. Extracted and transformed data using Databricks and PySpark. Helped the company to take early actions close to the project deadline, improving performance by 80%.
1Machine Learning Engineer	Implemented a monitoring scheme to identify underused raw materials and to minimize industrial waste, using pandas.
0Data Engineer	Created serverless cloud services and infrastructure as code (IaC) tools.
0Data Engineer	Designed and implemented a configuration-driven framework using Python, SQL, AWS S3, Databricks, and Apache Spark for enabling BI and analytics teams to self-service data ingestion and transformation for analytics purposes, eliminating dependencies upon the Data Infrastructure Team of a fintech company.
0Data Engineer	Performed multiple database configurations, architectural upgrades, and tech demos for current and potential clients.
2Data Analyst	Designed and developed Tableau dashboards to monitor developers’ projects progress.
0Data Engineer	Automated data pipelines in Python and SQL to process customers financial information for selling credit cards, resulting in a 35% increase in credit card sales in the first month.
0Data Engineer	Developed different data squad creation, data lakes and data warehouses, data marts architecture, and data pipelines for a brazilian fintech.
1Machine Learning Engineer	Worked on different Machine Learning projects with an emphasis on word embeddings, and high dimensional representations of corpus for different NLP tasks.
0Data Engineer	Designed, proposed, and implemented training material related to data warehouse and data lake usage, and data processing through SQL and Spark.
3Data Scientist	Developed and deployed fraud detection systems based on binary classification algorithms (gradient boosted trees methods) to opportunely identify fraudulent behavior upon sellers and buyers within the durable goods category of the largest e-commerce and payments marketplace in LatAm. The model gives a score based on fraudulent vs genuine historical users activity to determine whether they are allowed to publish or create items.

3Data Scientist

Created a recommender system using association rules (market basket analysis: products usually bought together) with SQL Server Analysis Services for a retail company provider in Panamá.

0Data Engineer

Trained students to model and evaluate stochastic systems and derive business recommendations through simulated environments.

3Data Scientist

Developed a loan default predictive model based on an imbalanced dataset stored in PostgreSQL, with a 3% default rate acceptance. Applied game theory SHAP framework to interpret predictions and help both business and clients determine which variables increase or decrease credit scores, and identify ways to improve outcome. This model and its interpretability was served through a dockerized API.

0Data Engineer

Supported, developed and implemented a software system for payroll loans for different clients in a Brazilian Consulting Company.

3Data Scientist

Analyzed and monitored revenue and demand forecasts for air routes with revenues greater than 100 million dollars annually, generating a 2% impact on route revenues for one of the largest national Colombian airlines.

2Data Analyst

Designed and developed dashboards using BI tools.

3Data Scientist

Participated in the software development team projects, collaborating often with backend developers, business analysts, and UXUI designers.

1Machine Learning Engineer

Train a Convolutional Neural network using Keras to classify gender through face images as a proof of concept for an analytics project that counts the number of people in a transportation system.

0Data Engineer

Developed an end-to-end automated report generation app using Docker and AWS.

1Machine Learning Engineer

Created a ticket classification application using Python to automate the work of interns and analysts, reducing classification time from weeks to hours.

1Machine Learning Engineer

Compare the performance of convolutional models and a support vector machine using classification metrics (precision-recall, ACA, confusion matrix) to select the most suitable model for the state assessment of rolling bearings. The solution involved a hybrid convolutional model based on EfficientNet that uses thermal images and temperature data, outperforming state-of-the-art approaches in all metrics with 92% accuracy.

1Machine Learning Engineer

Integrated and analyzed more than 30 dealers financial statements using R and Power BI WHY? FOR WHAT? FOR WHOM?

5Analytics Engineer

Created an ETL and ELT data pipelines using Python whilst applying CICD best practices.

2Data Analyst

Defined data pipelines using Google Cloud Storage, Apache Airflow and Looker to process data from multiple sources, enabling different areas within a pension fund company to share, analyze, and visualize information cross functionally to enhance decision making.

1Machine Learning Engineer

Collaborate with Traffik Analysis Hub ONG and Stop The Traffik to share information with multiple financial institutions in the UK and Ireland for improving clients’ risk assessment.

0Data Engineer

Custom reports for taxes and legal institutions.

3Data Scientist

Developed a time estimation model using a support vector machine with Scikit-learn to give information to clients about their pension requisitions and times.

1Machine Learning Engineer

Created an ETL process to acquire over 100k images, serialize them into TFRecords and load them into an AWS EBS volume to be consumed by a computer vision model in TensorFlow. Trained an object detection model using the TensorFlow Object Detection API on an AWS EC2 instance with a GPU, set up an experiment tracking server with MLFlow, and deployed the dockerized application using AWS API Gateway and AWS Lambda. Built a web application using Streamlit to let the users upload images and interact with the deployed model.

0Data Engineer

Created data-quality ingestion failure scripts using Python to generate an alert when incoming data is malformed.

2Data Analyst

Supported the technical leader on the design of the solution proposal and its presentation to the Product Owner.

0Data Engineer

Deployed a Python API and a MongoDB server into a Kubernetes cluster with separate namespaces and pods for each service.

1Machine Learning Engineer

Customized warehouse management software and database.

3Data Scientist

Worked as the head of the data team, being the main decision maker and planner for all data-related matters in the company.

0Data Engineer

Gave support as a Product Owner searching for investors, and talking closely with early adopters and potential customers.

5Analytics Engineer

Developed and maintained ETL processes on different systems like AWS Glue and Databricks using different coding languages like Python and PHP to handle Big Data information sources both in batch and streaming.

2Data Analyst

Implemented a Data Catalog using PowerBI as dynamic tool for interaction and fast search metadata.

2Data Analyst

Created benchmark between top BI tools.

0Data Engineer

Performed ETL workloads migration from on-premise Teradata to GCP solutions, and scripts migrations from Perl to Python through BigQuery setup using Python, Cloud Storage, PubSub, Dataflow, Dataproc, Compute Engine, Dataprep for one of the biggest retailers in Argentina.

0Data Engineer

Built a BI pipeline for one of the companies in the venture using SQL Server and PowerBI.

5Analytics Engineer

Designed and implemented reliable dashboards using Power BI and Tableau to facilitate KPIs monitoring and decision-making.

1Machine Learning Engineer

Managed ML lifecycle with MLFlow.

1Machine Learning Engineer

Implemented and deployed a fine tuned CLIP model to obtain similar images given a text or an image prompt. Used Spotify’s Annoy library to perform approximate nearest neighbor search on the embedding space, and displayed the results in a interface in which users can obtain

1Machine Learning Engineer

Designed an algorithm that uses a pose segmentation model to add further detail to a set of image parsing annotations that had grouped together parts of the body that could be separated into left and right sections.

0Data Engineer

Migrated a Talend On-Premise platform to Talend Cloud.

2Data Analyst

Created and developed SQL queries and a Power BI dashboard for the CPGs catalog team to identify the different stages of an order (assignment, product selection, pickup, delivery) and analyze delay peaks, reducing the overall order time by 15%.

1Machine Learning Engineer

Deployed an interactive dashboard in Streamlit using the Plotly from Python with an exploratory data analysis (EDA) on particulate matter in the air of Bogotá and Medellín; visualizations included a heat map of each city and the results of a forecasting model.

0Data Engineer

Implemented CICD pipelines to automate infrastructure deployment using Github Actions and Terraform.

0Data Engineer

Worked as a full-stack developer from the beginning to the end of the project.

5Analytics Engineer

Created automated data flow processes using Powerapps, Powerautomate and SharePoint to feed Power Bi Dashboards.

0Data Engineer

Developed email notification features in Python.

0Data Engineer

Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog.

2Data Analyst

Encouraged Power BI adoption within different departments and regions of the organization. Supported (a) Excel and Qlik reports migration to Power BI to centralize reports storage and manage, (b) data extraction and cleansing processes using SQL, Power Query and Alteryx, and (c) Power BI dashboards design, which improved reports democratization and enabled meaningful insight generation throughout the organization.

0Data Engineer

Designed, built, deployed, and maintained big data ETL workflows using Python, Pyspark, and Airflow to feed classification and clusterization models and build data storages using data warehouses technologies including Big Query and data lakes such as S3 and google cloud storage for BI and AI purposes.

0Data Engineer

Partnered with developers to provide data perspective, including data needs for customer communications, identifiers for reconciliations, and data needs for product owners and analysts for analysis. Assisted with various system integrations to enable data insights and improve data flows across the organization.

0Data Engineer

Developed a cloud analytics PoC to analyze viewer behavior and discover new TV scheduling opportunities for a multinational television production company using AWS and GCP analytics services including Athena, Glue, EMR, Google Cloud Storage and BigQuery.

0Data Engineer

Implemented ETL transformations and pipelines combining batch and streaming processes with Spark and Kafka in Databricks as a POC development to evaluate different data sources and targets, inspect functionality and gather useful insights and best practices to share with the development team.

4MLOps

Applying multithreading techniques, the team were able to almost double the throughput of processed

0Data Engineer

Work with stake holders to gather requirements and define data products need for business. Guide and mentoring developers under my charge, to focus on plan and deliver data products agreed with stake holders. Manage expectations for new data products and help revamp the data warehouse and data lake to complain with new goals of the company. Propose guidelines for requirements and products to have better communication with stake holders. Work closely with BI and Data Science team to provide data products that each team needs. 2020-01 - aff Dat - St a Engineer Healthcare.com, Guatemala, Guatemala Focus on mentoring junior engineers to work with the company structures and standards. Define code standards and unit testing strategies for

2Data Analyst

Implemented an automatization of key processes of stock control in warehouses using SQL and Python.

1Machine Learning Engineer

Creation of ETLELT processes to handle large amounts of structured and unstructured data (e.g., image and text) to feed automl, deep learning and machine learning models.

3Data Scientist

Developed an algorithm to normalize supplier names across different ERP systems of a top worldwide consulting company, using Pandas, Numpy, fuzzy matching principles, graph-based clusterization solutions, and multithreading and asynchronous (pool, asyncio) libraries to extract information about the supplier, and determine a similarity score between company names. The model obtained an adjusted mutual information (AMI) score of 91% and vastly helped the procurement operations team by reducing normalization errors and enabling analysts to extract more accurate aggregated metrics.

0Data Engineer

Certificated the compliance of data governance policies by running some queries using ImpalaHive to validate data.

1Machine Learning Engineer

Applied computer vision algorithms on biomedical image analysis to enable performance of different convolutional neural networks that helped surgeons to avoid bile duct injuries during laparoscopic cholecystectomy exam.

0Data Engineer

Developed streaming pipelines using Scala to expose capabilities for listeners aiming to monitor data pipelines and capture important data to ensure data stages completeness that was evaluated to be implemented at a health care provider company in the US.

2Data Analyst

Defined key metrics to help drive strategic business decisions.

3Data Scientist

Applied computer vision algorithms on biomedical image analysis to enable performance of different convolutional neural networks that helped surgeons to avoid bile duct injuries during laparoscopic cholecystectomy exam.

1Machine Learning Engineer

Migrated solutions and pipelines to the cloud environment.

3Data Scientist

Extracted, transformed and analyzed data from transport mobility surveys and geographic information systems’s API to geocode addresses using R in order to find commute time, and preprocess and visualize shape files as maps.

2Data Analyst

Implemented a data connector in the Domo ecosystem using Javascript to pull data coming from the Customer Success tool’s API and designed a reliable dashboard for the customer success team to understand and address customers’ pain points.

2Data Analyst

Responsible for supervising a Data Analyst Junior in projects.

0Data Engineer

Taught Python courses to university students.

0Data Engineer

Develop and migration of data pipelines to big data with hadoop Technologies : sap data integration, oracle database, hadoop

0Data Engineer

Integrated Google services in the project (Storage and BigQuery).

6Software Engineer

Developed and taught MOOC courses about parametric design for the Colombian Society for Architects.

1Machine Learning Engineer

Created ELT ETL routines.

3Data Scientist

Developed a demand forecasting model in Python applying time-series forecasting algorithms (ARIMA) and Machine Learning models (Xgboost) to predict sales in advance using historical information from a multinational retail corporation.

1Machine Learning Engineer

Built the frontend for a default prediction model application using Streamlit and deployed it as an app using FastAPI and Docker.

3Data Scientist

Mapped business problems to advanced analytics and data-driven solutions to derive insights and drive value for customers across different industries.

0Data Engineer

Optimized queries and developed SQL Server views, functions, and stored procedures on an ad hoc basis.

0Data Engineer

Consumed data from the Hubspot API to load into raw layers in a data lake, filtered, and moved it into a clean layer to serve downstream applications using Python, Docker, AWS EC2, and S3 Bucket. It automated sending messages between people into an instant messaging program.

2Data Analyst

Designed and developed dashboards and reports using to visualize and track business metrics and KPIs that enabled real-time data analysis and insight generation for business areas, which allowed senior management to make better management and strategic decisions. Scope included requirement gathering, business understanding and KPI definition.

2Data Analyst

Developed the first Interactive Report of the Finance Directorate connected to databases of accounting and operational teams using MS SQL Server and Power BI. Included over 15 KPI and financial indicators.

1Machine Learning Engineer

Created a workflow to label images using LabelStudio, AWS S3 and a Databricks job to load, annotate and download the image annotations to be ready for model training.

0Data Engineer

Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog.

2Data Analyst

Led the implementation of the Analytics Engineering Initiative inside the company.

3Data Scientist

Build an NLP model to identify Covid19 related comments in reservations, using Alteryx and NPL statistics (TF-IDF). This allowed the business to quantify the impact of the pandemic by understanding why the customers were being denied the boarding stage.

0Data Engineer

Designed, planned and implemented automated credit cards consumer scheduled reports through AWS architecture using Cloudwatch events, Lambda functions, Step Functions, Terraform, and Databricks Notebooks for an American global entertainment company.

1Machine Learning Engineer

Developed a proprietary ML library using scikit-learn, SHAP, and other ML libraries to facilitate the access to the latest machine learning (ML) capabilities developed internally. This delivered the possibility to use those capabilities in less than 20 minutes.

0Data Engineer

Analyzed and improved checkout management and inventory management processes. Integrated Shopify Plus to enable sales data import to an in-house ERP, improve logistics for shipping, and simplify checkout customizations for each product.

0Data Engineer

Analyzed KPIs such as SLA, Absenteeism, Customer Satisfaction and Quality Assurance to track and get insights from agents’ performance using Excel and Power BI reducing costs by 10K USD in 4 months.

3Data Scientist

Developed hardware interfaces using Python.

0Data Engineer

Collected data from multiple sources using Python Scripts, Lambda and EC2 and loaded using AWS Athena to make it available for the data scientist team in AWS S3 data lake.

0Data Engineer

Production line stopping due to out-of-stock hardware.

3Data Scientist

Implemented a full application load testing platform using Locust and a cluster in AWS for distributed testing to identify costs, bottlenecks, and operating capacity for a MaaS platform; the platform used multiple AWS Services (mainly RDS, ECS, Lambda, API Gateway, DynamoDB).

0Data Engineer

Contributed to planning and execution of an in-house ERP development project using VB.NET and MySQL.

1Machine Learning Engineer

Worked on an object detection application that uses the YOLO algorithm to detect different classes in a subset of the OpenImages dataset.Created an ETL where the final outputs were the images and bounding boxes in a TensorFlow friendly format. Fine-tuned the model using an AWS EC2 instance, and deployed the final app developed with FastAPI + Streamlit using Docker-compose.

0Data Engineer

Developed dashboards and reports using data analytics techniques with SAS Visual Analytics to support business decisions and find powerful insights.

3Data Scientist

Set up a CICD pipeline for a classification task using MLflow and GitHub Actions that logged metrics and artifacts of trained models, wrapped them in a FastAPI application, performed unit tests on endpoints, built Docker images pushed to AWS ECR, and deployed the application using AWS API Gateway and AWS Lambda. Used DVC and AWS S3 to manage the data used to train the model.

1Machine Learning Engineer

Built a full-stack NLP application for resume information administration, using Pytorch, FastAPI, AWS S3 , AWS Lambda and Vue JS. Designed and deployed an algorithm to parse resume information from pdf files into Json file, and automate data ingestion into the platform.

1Machine Learning Engineer

Created a classification model using XGBoost to help the drilling project management team of the biggest oil company in Colombia predict project delays. Extracted and transformed data using Databricks and PySpark. Helped the company to take early actions close to the project deadline, improving performance by 80%.

1Machine Learning Engineer

Implemented a monitoring scheme to identify underused raw materials and to minimize industrial waste, using pandas.

0Data Engineer

Created serverless cloud services and infrastructure as code (IaC) tools.

0Data Engineer

Designed and implemented a configuration-driven framework using Python, SQL, AWS S3, Databricks, and Apache Spark for enabling BI and analytics teams to self-service data ingestion and transformation for analytics purposes, eliminating dependencies upon the Data Infrastructure Team of a fintech company.

0Data Engineer

Performed multiple database configurations, architectural upgrades, and tech demos for current and potential clients.

2Data Analyst

Designed and developed Tableau dashboards to monitor developers’ projects progress.

0Data Engineer

Automated data pipelines in Python and SQL to process customers financial information for selling credit cards, resulting in a 35% increase in credit card sales in the first month.

0Data Engineer

Developed different data squad creation, data lakes and data warehouses, data marts architecture, and data pipelines for a brazilian fintech.

1Machine Learning Engineer

Worked on different Machine Learning projects with an emphasis on word embeddings, and high dimensional representations of corpus for different NLP tasks.

0Data Engineer

Designed, proposed, and implemented training material related to data warehouse and data lake usage, and data processing through SQL and Spark.

3Data Scientist

Developed and deployed fraud detection systems based on binary classification algorithms (gradient boosted trees methods) to opportunely identify fraudulent behavior upon sellers and buyers within the durable goods category of the largest e-commerce and payments marketplace in LatAm. The model gives a score based on fraudulent vs genuine historical users activity to determine whether they are allowed to publish or create items.