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

labels class label 7 classes	text stringlengths 19 772
2Data Analyst	Developed data pipeline processes using Python and SQL.
2Data Analyst	Created dashboards using Power BI and Choropleth maps to check compatibility on public universities enrollment data that enabled management to make data-driven decisions on the admission process of new students.
3Data Scientist	Monitored and evaluated model performance using CICD tools such as Prometheus, Datadog, Jenkins, and CloudWatch.
1Machine Learning Engineer	Set up the deployment for a fake news detection solution based on a fakes news dataset. Used FastAPI and Docker to containerized the microservice. MLflow was used for model tracking and the microservice was deployed in AWS ECS. Having this solution deployed in a cloud environment makes it an easy access tool to fast-check if any news have a fake news pattern or not, solving fact-checking issues that social media are currently facing.
2Data Analyst	Optimized queries using common table expressions in SQL and Snowflake to access new data sources, and improve consultations and best practices.
0Data Engineer	Created business intelligence dashboards and reports using Power BI, SQL server database engine, and PL SQL.
0Data Engineer	Designed and implemented data structures and information life cycle ensuring availability for transactional data on CosmosDB and analytics with Azure SQL and Azure Synapse Analytics ingesting images from thousands of devices to a data lake running over Azure Blob Storage.
1Machine Learning Engineer	Implemented object detection and scene perception systems in autonomous vehicles using transfer learning with transformers using TensorFlow object detection API, FastAPI, and AWS.
0Data Engineer	Implemented a tool for a vending machine dealer that enabled users to build restaurant layouts to simulate how the placement of a vending machine affected customer flow through the restaurant and impact on cashier’s queuing times. Wrote additional API to enable database connectivity.
1Machine Learning Engineer	Database design and development of RESTful APIs using frameworks such as Flask and FastAPI.
1Machine Learning Engineer	Led a team of technicians and technical assistants scheduling the maintenance of industrial refrigeration systems and audited the work done.
1Machine Learning Engineer	Developed and deployed a CatBoost classification model for 3 months-financial default. Implemented debt installments rearrangements and other preventive action, increasing revenue by 2%.
1Machine Learning Engineer	Developed a back-end application using Django REST framework with asynchronous views applying Python’s Asyncio module for a power company listed in the American Fortune 500 list. The application ran a mathematical model using Python as the main tool to calculate the charcoal volume from drone pictures, reducing the time from 2 days to a couple of hours. Improved model by 15% using Simpson’s rule from Scipy and reduced its time from 10 minutes to 20 seconds using Numpy vectorization.
2Data Analyst	Worked closely with health specialists to create a video game that can help these children to improve their relationship with their parents, and to be able to manage daily habits through a gamification system.
0Data Engineer	Designed and implemented a data extraction pipeline from both RDS and S3 for an AWS Redshift dimensional model. Built on Python, Spark, Airflow, Glue, SQL, and DBT.
0Data Engineer	Built a Python package for machine learning data monitoring for production-level models to calculate statistics on the input and output data, as well as model performance metrics. This package was documented in Sphinx and used by the entire DS - Risk Division team with over 20+ users between data engineers and data scientists.
0Data Engineer	Created, developed, troubleshooted, and documented RESTful services and APIs using Azure Functions, Azure SDK, App Services, Python, and JavaScript.
3Data Scientist	Used modern ML techniques such as neural networks to forecast macroeconomic variables to meet IFRS standards.
0Data Engineer	Supported production readiness by implementing quality controls, quality assurance, and engineering banking solutions using SQL Server, Oracle Rac, SQLDeveloper Tool, and IBM Maximo.
1Machine Learning Engineer	Participated in the production of reports on the sex work of Venezuelan migrants in Cúcuta, the passage houses on the way from Cúcuta to Bucaramanga and on the demographic data of the migrants in Bogotá.
2Data Analyst	Created, managed, and presented dashboards to the executive team.
2Data Analyst	Created Tableau dashboards to visualize productivity KPIs for US based teams, in order to measure the amount of deliverables received, keep track of pending tasks and monitor tasks in progress for the digital assurance and transparency department.
0Data Engineer	Created different predictive models with Machine Learning in Python with Flask, PostgreSQL, and Web Frameworks, in order to classify and create action plans for students with low educational level and at risk of dropping out in a Chilean university.
0Data Engineer	Collaborated within the Data Management & Analytics Team and Retail Banking division to provide real-time data analytics and business insights using SQL Server, Teradata SQL, and IBM Cognos.
0Data Engineer	Integrated Hadoop into the traditional ETL process, accelerating the extraction, transformation, and loading of large amounts of structured and unstructured data.
0Data Engineer	Developed a real-time web and mobile chat based on a self-managed Web Socket server that is used by over 100 educational institutions to keep students, professors, student guardians, and administrative personnel in touch.
2Data Analyst	Created a data repository using sharepoint and PostgreSQL Database to centralize production data from different types of sources.
3Data Scientist	Built and deployed statistical and ML models using Tensorflow.
1Machine Learning Engineer	Developed and deployed a recommendation system using keyword matching and sentence similarity matching based on deep learning models from HuggingFace to enhance the talent platform that aims to automatically match candidates profiles to given job descriptions and requirements, providing metrics and feedback to suggest best candidates in a more accurate and data-driven manner.
1Machine Learning Engineer	Created a data lake and database using AWS S3 and Aurora MySQL to store more than 200k images and their features (fabric type, model gender, color, etc) for a fashion company. Implemented an API to query and filter the database to get different datasets to address different objectives and develop models for different demographic cohorts.
0Data Engineer	Built a tool in Python, Django, and Vue.js to reduce manual effort for internal teams by automating extraction of pricing data from Excel and PDF files for loading into an e-pricing and sales automation software designed for container shipping.
2Data Analyst	Analyzed the time spent in every phase of the production process for a manufacturing company to identify opportunities for improvement.
5Analytics Engineer	Evaluated security configuration of platforms such as Oracle, SQL, Linux, Windows, among others.
1Machine Learning Engineer	Built a system that assigned categories to complaints from a CRM under noisy labels
3Data Scientist	Created an ETL pipeline to collect and process historic tabular sales data using Pandas and Azure Machine Learning for a beauty product retail company.
1Machine Learning Engineer	Collaborate with the regional office of NEM’s blockchain to promote NEM’s blockchain events in the university.
6Software Engineer	Developed computational geometry tools that helped to create a custom software to treat brachycephaly and plagiocephaly disease for a japanese hospital. This development was based on GrasshopperRhino and custom C coding.
2Data Analyst	Used descriptive, diagnostic, predictive and prescriptive analytics models to present powerful insights and improve data driven recommendations.
2Data Analyst	Participated in the development and release of a new and improved Sales Out Tool that enabled sales teams to see KPIs of their accounts or territories. Awarded with recognition points from Steve Long, Intel’s Sales and Marketing Vice-President.
1Machine Learning Engineer	Structured the code to follow pip standards for easy package management.
0Data Engineer	Designed and created star schemas that allow fast readability and interpretability of data, enabling and empowering business analysts by applying data modeling best practices.
3Data Scientist	Developed a loan default prediction model on a heavily imbalanced dataset using Tensorflow to determine critical variables that increasedecrease default probability. Explained its predictions using SHAP and served it through a dockerized API on AWS.
2Data Analyst	Applied business intelligence to identify opportunities for improvement in operations, campaigns and for analyzing consumers’ behavior.
2Data Analyst	Analyzed financial performance of the branding teams.
0Data Engineer	Leveraged Python, Splunk, and AWS (Kinesis, S3) to pull data for analysis and visualization with real-time dashboards.
2Data Analyst	Worked on a help center for undergraduate and postgraduate students, assisting on their research or exact sciences studies. Was added as the co-author of 2 scientific papers for aiding in their analyzes.
1Machine Learning Engineer	Collaborated with teams to develop models for customer retention and product recommendation.
4MLOps	Automated different processes to make client’s IT support faster and more efficient.
0Data Engineer	Implemented CICD pipelines to automate infrastructure deployment using Github Action and Terraform.
0Data Engineer	Investigated phenomena of horizontal impact on product teams, proposed and developed self-service data visualization tools like WHAT TOOLS, and mapped opportunities to improve the user experience for an e-commerce company in Brazil.
0Data Engineer	Documented data assets (e.g. database tables, data models, Power BI reports) in Azure DevOps wiki pages using Markdown, HTML, and CSS to improve data governance at an agricultural trading company.
0Data Engineer	Implement and maintain ETL pipelines and a data warehouse with Apache Airflow and PostgreSQL.
1Machine Learning Engineer	Assisted students and professors in operation of lab equipment (i.e, distillation column, heat exchangers, pumps) and supported students in process modeling and simulation.
0Data Engineer	Maintained the official documentation and demo sites built using react.
0Data Engineer	Built a pipeline with Python hosted in Cloud RunFunctions to replicate tables from BigQuery to MySQL database (AWS Aurora) to serve those data as entities-features to use in the inference of ML models as risk fraud, and default probability, among others.
0Data Engineer	Monitored and analyzed warehouse usage in a US-based tire retail chain for cost optimization using Snowflake.
0Data Engineer	Designed reports for different business units and projects planning initiatives.
3Data Scientist	Built an NLP text clustering model using word mover’s distance (WMD) with Python for ITSM incidents and problem management.
3Data Scientist	Automated an ETL pipeline to extract marketing campaigns data from Campaign Monitor platform of a top worldwide marketing agency using an API and store it into MS SQL database.
0Data Engineer	Built an ETL pipeline using IBM Datastage and designed dashboards reports using SAP Business Objects and SAP Lumira for multiple clients in the financial industry.
1Machine Learning Engineer	Developed an image retrieval Similarity Search Engine by finetuning a CLIP-like contrastive-learning model with ~200 million parameters using HuggingFace and Pytorch. The input for the app was either a text or an image, and it helped to perform an approximate neighbor search to identify and select the most similar images.
1Machine Learning Engineer	Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Set up an experiment tracking server with MLFlow and automated iterative model training. Used Github Actions to deploy Dockerized API in AWS ECS of the selected model integrated with an explainability framework.
1Machine Learning Engineer	Calculated industrial refrigeration systems for the pharmaceutical sector under high-quality standards.
0Data Engineer	Created a tracking campaign tool to evaluate the effectiveness of marketing and communication strategies using Acoustic (Marketing tool for campaign orchestration) and Plotly.
1Machine Learning Engineer	Built and deployed an end-to-end NLP assistant to increase engagement in community question-answering in online forums (e.g., Stack Overflow questions), using fine-tuned Transformer Architectures (DistilBERT, RoBERTa).
0Data Engineer	Carried out different web development projects with Ruby on Rails for customer sales systems, detecting stock shortages on time.
1Machine Learning Engineer	Improved an existing handwritten recognition scheme using deep learning and image processing techniques on mobile devices for the government of Honduras.
0Data Engineer	Implemented CICD pipelines to automate infrastructure deployment using Github Actions and Terraform.
1Machine Learning Engineer	Developed job crawler using Python, AWS Athena, S3 and Airflow to collect job postings from websites and public APIs
0Data Engineer	Retrieved data from REST APIs to generate automated reports using AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions and deployed the infrastructure using Serverless and CICD pipelines.
3Data Scientist	Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Set up an experiment tracking server with MLFlow and automated iterative model training. Deploy Dockerized API in AWS ECS of the selected model integrated with an explainability framework (SHAP).
2Data Analyst	Standardized sales process, including documentation for medical visits and sales pitch.
0Data Engineer	Developed ELT pipelines using S3, Matillion, and Snowflake to extract data from different sources and centralize it in a Data Warehouse.
1Machine Learning Engineer	Trained and validated statistical and machine learning models.
2Data Analyst	Analyzed customer behavior regarding discounts for the implementation of customer loyalty programs.
0Data Engineer	Developed business intelligence projects with emphasis on SAP BusinessObjects tools, relational and multidimensional databases.
0Data Engineer	Built a tool using Selenium Web Driver, Python, Bash, and Docker to automatically execute regression tests to evaluate the impact of change on risk metrics, enabling the bank to run two different risk-calculation code versions and assess the difference in the measures.
3Data Scientist	Conducted the monitoring of different ML models to control data skewness, metric deterioration, and outliers.
0Data Engineer	Developed legal report processes and designed to assist client support and legal teams solving external and internal audit requests using Python as data processor.
0Data Engineer	Designed and implemented ETL processes, data cleansing and data quality process.,
2Data Analyst	Built the principal dashboard using Tableau to measure KPIs from all the companys departments.
0Data Engineer	Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT, and SQL.
5Analytics Engineer	Designed automated data processes using Power Automate and Power BI to gather data from multiple ERP output files.
0Data Engineer	Implemented high availability groups in SQL server 2008 to 2019.
0Data Engineer	Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Apache Airflow, AWS Glue, Apache Spark, and DBT deployed with Terraform.
0Data Engineer	Performed data transformations and analysis on unstructured data from a datakake implemented on AWS S3 using Snowflake stages and directory tables.
0Data Engineer	Built and presented internal training.
1Machine Learning Engineer	Tools: GCP, AWS, Azure, Databricks, Spark, SQL, Python, Airflow, DBT, Docker
0Data Engineer	Automating the migration of OLAP sources without impact on Analyst Activities.
4MLOps	Delivered solutions architected to support a large number of accesses by users worldwide, using an Agile methodology and Java for a large financial company.
0Data Engineer	Integrated Data Source Objects and Composites in SAP BW and SAP HANA that used SAP APO as a data source which enabled them to build Business Objects dashboards for an oil and gas company.
0Data Engineer	Supported business decisions through data analysis.
0Data Engineer	Contributed to large demos for potential clients.
0Data Engineer	Carried out data migrations between ERP systems using SQL, text files, integration services, user requirements interviews, user training, and ERP customizations (Linux systems), for an IT brazilian consulting firm.
0Data Engineer	Built a dashboard using Retool Docker, Airflow, and PostgreSQL to monitor data observability, allowing A CLIENT COMPANY perform analyses to identify opportunities to improve its quality.
0Data Engineer	Integrated BigQuery and MongoDB through BQ REST API using Pymongo library.
3Data Scientist	Implemented an NLP model using convolutional neural networks with Tensorflow to automatically classify service requests from clients of a fund management company of pension and unemployment funds.
1Machine Learning Engineer	Developed a multi-touch attribution model for digital marketing campaigns using PySpark, Impala, Scikit-learn, and XGBoost. The model was built for a major US Telco company that had over 1 billion records for training and evaluating the model.
0Data Engineer	Utilized Jira, Scrum, and Kanban methodologies.
1Machine Learning Engineer	Designed data pipelines to optimize resources, reduce costs of industrial designs, and standardize raw materials, using pandas and matplotlib.

2Data Analyst

Developed data pipeline processes using Python and SQL.

2Data Analyst

Created dashboards using Power BI and Choropleth maps to check compatibility on public universities enrollment data that enabled management to make data-driven decisions on the admission process of new students.

3Data Scientist

Monitored and evaluated model performance using CICD tools such as Prometheus, Datadog, Jenkins, and CloudWatch.

1Machine Learning Engineer

Set up the deployment for a fake news detection solution based on a fakes news dataset. Used FastAPI and Docker to containerized the microservice. MLflow was used for model tracking and the microservice was deployed in AWS ECS. Having this solution deployed in a cloud environment makes it an easy access tool to fast-check if any news have a fake news pattern or not, solving fact-checking issues that social media are currently facing.

2Data Analyst

Optimized queries using common table expressions in SQL and Snowflake to access new data sources, and improve consultations and best practices.

0Data Engineer

Created business intelligence dashboards and reports using Power BI, SQL server database engine, and PL SQL.

0Data Engineer

Designed and implemented data structures and information life cycle ensuring availability for transactional data on CosmosDB and analytics with Azure SQL and Azure Synapse Analytics ingesting images from thousands of devices to a data lake running over Azure Blob Storage.

1Machine Learning Engineer

Implemented object detection and scene perception systems in autonomous vehicles using transfer learning with transformers using TensorFlow object detection API, FastAPI, and AWS.

0Data Engineer

Implemented a tool for a vending machine dealer that enabled users to build restaurant layouts to simulate how the placement of a vending machine affected customer flow through the restaurant and impact on cashier’s queuing times. Wrote additional API to enable database connectivity.

1Machine Learning Engineer

Database design and development of RESTful APIs using frameworks such as Flask and FastAPI.

1Machine Learning Engineer

Led a team of technicians and technical assistants scheduling the maintenance of industrial refrigeration systems and audited the work done.

1Machine Learning Engineer

Developed and deployed a CatBoost classification model for 3 months-financial default. Implemented debt installments rearrangements and other preventive action, increasing revenue by 2%.

1Machine Learning Engineer

Developed a back-end application using Django REST framework with asynchronous views applying Python’s Asyncio module for a power company listed in the American Fortune 500 list. The application ran a mathematical model using Python as the main tool to calculate the charcoal volume from drone pictures, reducing the time from 2 days to a couple of hours. Improved model by 15% using Simpson’s rule from Scipy and reduced its time from 10 minutes to 20 seconds using Numpy vectorization.

2Data Analyst

Worked closely with health specialists to create a video game that can help these children to improve their relationship with their parents, and to be able to manage daily habits through a gamification system.

0Data Engineer

Designed and implemented a data extraction pipeline from both RDS and S3 for an AWS Redshift dimensional model. Built on Python, Spark, Airflow, Glue, SQL, and DBT.

0Data Engineer

Built a Python package for machine learning data monitoring for production-level models to calculate statistics on the input and output data, as well as model performance metrics. This package was documented in Sphinx and used by the entire DS - Risk Division team with over 20+ users between data engineers and data scientists.

0Data Engineer

Created, developed, troubleshooted, and documented RESTful services and APIs using Azure Functions, Azure SDK, App Services, Python, and JavaScript.

3Data Scientist

Used modern ML techniques such as neural networks to forecast macroeconomic variables to meet IFRS standards.

0Data Engineer

Supported production readiness by implementing quality controls, quality assurance, and engineering banking solutions using SQL Server, Oracle Rac, SQLDeveloper Tool, and IBM Maximo.

1Machine Learning Engineer

Participated in the production of reports on the sex work of Venezuelan migrants in Cúcuta, the passage houses on the way from Cúcuta to Bucaramanga and on the demographic data of the migrants in Bogotá.

2Data Analyst

Created, managed, and presented dashboards to the executive team.

2Data Analyst

Created Tableau dashboards to visualize productivity KPIs for US based teams, in order to measure the amount of deliverables received, keep track of pending tasks and monitor tasks in progress for the digital assurance and transparency department.

0Data Engineer

Created different predictive models with Machine Learning in Python with Flask, PostgreSQL, and Web Frameworks, in order to classify and create action plans for students with low educational level and at risk of dropping out in a Chilean university.

0Data Engineer

Collaborated within the Data Management & Analytics Team and Retail Banking division to provide real-time data analytics and business insights using SQL Server, Teradata SQL, and IBM Cognos.

0Data Engineer

Integrated Hadoop into the traditional ETL process, accelerating the extraction, transformation, and loading of large amounts of structured and unstructured data.

0Data Engineer

Developed a real-time web and mobile chat based on a self-managed Web Socket server that is used by over 100 educational institutions to keep students, professors, student guardians, and administrative personnel in touch.

2Data Analyst

Created a data repository using sharepoint and PostgreSQL Database to centralize production data from different types of sources.

3Data Scientist

Built and deployed statistical and ML models using Tensorflow.

1Machine Learning Engineer

Developed and deployed a recommendation system using keyword matching and sentence similarity matching based on deep learning models from HuggingFace to enhance the talent platform that aims to automatically match candidates profiles to given job descriptions and requirements, providing metrics and feedback to suggest best candidates in a more accurate and data-driven manner.

1Machine Learning Engineer

Created a data lake and database using AWS S3 and Aurora MySQL to store more than 200k images and their features (fabric type, model gender, color, etc) for a fashion company. Implemented an API to query and filter the database to get different datasets to address different objectives and develop models for different demographic cohorts.

0Data Engineer

Built a tool in Python, Django, and Vue.js to reduce manual effort for internal teams by automating extraction of pricing data from Excel and PDF files for loading into an e-pricing and sales automation software designed for container shipping.

2Data Analyst

Analyzed the time spent in every phase of the production process for a manufacturing company to identify opportunities for improvement.

5Analytics Engineer

Evaluated security configuration of platforms such as Oracle, SQL, Linux, Windows, among others.

1Machine Learning Engineer

Built a system that assigned categories to complaints from a CRM under noisy labels

3Data Scientist

Created an ETL pipeline to collect and process historic tabular sales data using Pandas and Azure Machine Learning for a beauty product retail company.

1Machine Learning Engineer

Collaborate with the regional office of NEM’s blockchain to promote NEM’s blockchain events in the university.

6Software Engineer

Developed computational geometry tools that helped to create a custom software to treat brachycephaly and plagiocephaly disease for a japanese hospital. This development was based on GrasshopperRhino and custom C coding.

2Data Analyst

Used descriptive, diagnostic, predictive and prescriptive analytics models to present powerful insights and improve data driven recommendations.

2Data Analyst

Participated in the development and release of a new and improved Sales Out Tool that enabled sales teams to see KPIs of their accounts or territories. Awarded with recognition points from Steve Long, Intel’s Sales and Marketing Vice-President.

1Machine Learning Engineer

Structured the code to follow pip standards for easy package management.

0Data Engineer

Designed and created star schemas that allow fast readability and interpretability of data, enabling and empowering business analysts by applying data modeling best practices.

3Data Scientist

Developed a loan default prediction model on a heavily imbalanced dataset using Tensorflow to determine critical variables that increasedecrease default probability. Explained its predictions using SHAP and served it through a dockerized API on AWS.

2Data Analyst

Applied business intelligence to identify opportunities for improvement in operations, campaigns and for analyzing consumers’ behavior.

2Data Analyst

Analyzed financial performance of the branding teams.

0Data Engineer

Leveraged Python, Splunk, and AWS (Kinesis, S3) to pull data for analysis and visualization with real-time dashboards.

2Data Analyst

Worked on a help center for undergraduate and postgraduate students, assisting on their research or exact sciences studies. Was added as the co-author of 2 scientific papers for aiding in their analyzes.

1Machine Learning Engineer

Collaborated with teams to develop models for customer retention and product recommendation.

4MLOps

Automated different processes to make client’s IT support faster and more efficient.

0Data Engineer

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

0Data Engineer

Investigated phenomena of horizontal impact on product teams, proposed and developed self-service data visualization tools like WHAT TOOLS, and mapped opportunities to improve the user experience for an e-commerce company in Brazil.

0Data Engineer

Documented data assets (e.g. database tables, data models, Power BI reports) in Azure DevOps wiki pages using Markdown, HTML, and CSS to improve data governance at an agricultural trading company.

0Data Engineer

Implement and maintain ETL pipelines and a data warehouse with Apache Airflow and PostgreSQL.

1Machine Learning Engineer

Assisted students and professors in operation of lab equipment (i.e, distillation column, heat exchangers, pumps) and supported students in process modeling and simulation.

0Data Engineer

Maintained the official documentation and demo sites built using react.

0Data Engineer

Built a pipeline with Python hosted in Cloud RunFunctions to replicate tables from BigQuery to MySQL database (AWS Aurora) to serve those data as entities-features to use in the inference of ML models as risk fraud, and default probability, among others.

0Data Engineer

Monitored and analyzed warehouse usage in a US-based tire retail chain for cost optimization using Snowflake.

0Data Engineer

Designed reports for different business units and projects planning initiatives.

3Data Scientist

Built an NLP text clustering model using word mover’s distance (WMD) with Python for ITSM incidents and problem management.

3Data Scientist

Automated an ETL pipeline to extract marketing campaigns data from Campaign Monitor platform of a top worldwide marketing agency using an API and store it into MS SQL database.

0Data Engineer

Built an ETL pipeline using IBM Datastage and designed dashboards reports using SAP Business Objects and SAP Lumira for multiple clients in the financial industry.

1Machine Learning Engineer

Developed an image retrieval Similarity Search Engine by finetuning a CLIP-like contrastive-learning model with ~200 million parameters using HuggingFace and Pytorch. The input for the app was either a text or an image, and it helped to perform an approximate neighbor search to identify and select the most similar images.

1Machine Learning Engineer

Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Set up an experiment tracking server with MLFlow and automated iterative model training. Used Github Actions to deploy Dockerized API in AWS ECS of the selected model integrated with an explainability framework.

1Machine Learning Engineer

Calculated industrial refrigeration systems for the pharmaceutical sector under high-quality standards.

0Data Engineer

Created a tracking campaign tool to evaluate the effectiveness of marketing and communication strategies using Acoustic (Marketing tool for campaign orchestration) and Plotly.

1Machine Learning Engineer

Built and deployed an end-to-end NLP assistant to increase engagement in community question-answering in online forums (e.g., Stack Overflow questions), using fine-tuned Transformer Architectures (DistilBERT, RoBERTa).

0Data Engineer

Carried out different web development projects with Ruby on Rails for customer sales systems, detecting stock shortages on time.

1Machine Learning Engineer

Improved an existing handwritten recognition scheme using deep learning and image processing techniques on mobile devices for the government of Honduras.

0Data Engineer

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

1Machine Learning Engineer

Developed job crawler using Python, AWS Athena, S3 and Airflow to collect job postings from websites and public APIs

0Data Engineer

Retrieved data from REST APIs to generate automated reports using AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions and deployed the infrastructure using Serverless and CICD pipelines.

3Data Scientist

Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Set up an experiment tracking server with MLFlow and automated iterative model training. Deploy Dockerized API in AWS ECS of the selected model integrated with an explainability framework (SHAP).

2Data Analyst

Standardized sales process, including documentation for medical visits and sales pitch.

0Data Engineer

Developed ELT pipelines using S3, Matillion, and Snowflake to extract data from different sources and centralize it in a Data Warehouse.

1Machine Learning Engineer

Trained and validated statistical and machine learning models.

2Data Analyst

Analyzed customer behavior regarding discounts for the implementation of customer loyalty programs.

0Data Engineer

Developed business intelligence projects with emphasis on SAP BusinessObjects tools, relational and multidimensional databases.

0Data Engineer

Built a tool using Selenium Web Driver, Python, Bash, and Docker to automatically execute regression tests to evaluate the impact of change on risk metrics, enabling the bank to run two different risk-calculation code versions and assess the difference in the measures.

3Data Scientist

Conducted the monitoring of different ML models to control data skewness, metric deterioration, and outliers.

0Data Engineer

Developed legal report processes and designed to assist client support and legal teams solving external and internal audit requests using Python as data processor.

0Data Engineer

Designed and implemented ETL processes, data cleansing and data quality process.,

2Data Analyst

Built the principal dashboard using Tableau to measure KPIs from all the companys departments.

0Data Engineer

Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT, and SQL.

5Analytics Engineer

Designed automated data processes using Power Automate and Power BI to gather data from multiple ERP output files.

0Data Engineer

Implemented high availability groups in SQL server 2008 to 2019.

0Data Engineer

Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Apache Airflow, AWS Glue, Apache Spark, and DBT deployed with Terraform.

0Data Engineer

Performed data transformations and analysis on unstructured data from a datakake implemented on AWS S3 using Snowflake stages and directory tables.

0Data Engineer

Built and presented internal training.

1Machine Learning Engineer

Tools: GCP, AWS, Azure, Databricks, Spark, SQL, Python, Airflow, DBT, Docker

0Data Engineer

Automating the migration of OLAP sources without impact on Analyst Activities.

4MLOps

Delivered solutions architected to support a large number of accesses by users worldwide, using an Agile methodology and Java for a large financial company.

0Data Engineer

Integrated Data Source Objects and Composites in SAP BW and SAP HANA that used SAP APO as a data source which enabled them to build Business Objects dashboards for an oil and gas company.

0Data Engineer

Supported business decisions through data analysis.

0Data Engineer

Contributed to large demos for potential clients.

0Data Engineer

Carried out data migrations between ERP systems using SQL, text files, integration services, user requirements interviews, user training, and ERP customizations (Linux systems), for an IT brazilian consulting firm.

0Data Engineer

Built a dashboard using Retool Docker, Airflow, and PostgreSQL to monitor data observability, allowing A CLIENT COMPANY perform analyses to identify opportunities to improve its quality.

0Data Engineer

Integrated BigQuery and MongoDB through BQ REST API using Pymongo library.

3Data Scientist

Implemented an NLP model using convolutional neural networks with Tensorflow to automatically classify service requests from clients of a fund management company of pension and unemployment funds.

1Machine Learning Engineer

Developed a multi-touch attribution model for digital marketing campaigns using PySpark, Impala, Scikit-learn, and XGBoost. The model was built for a major US Telco company that had over 1 billion records for training and evaluating the model.

0Data Engineer

Utilized Jira, Scrum, and Kanban methodologies.

1Machine Learning Engineer

Designed data pipelines to optimize resources, reduce costs of industrial designs, and standardize raw materials, using pandas and matplotlib.