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

labels class label 7 classes	text stringlengths 19 772
2Data Analyst	Developed full-stack biometric control software modules (users, time management, reporting) using Java and PostgreSQL.
4MLOps	Designed OLAP data warehouses with OLTP systems as data source using data lakes, ETLs, and data processing in multi-node architecture.
0Data Engineer	Implemented and maintained ETL pipelines.
0Data Engineer	Designed and implemented an ELT process with Airbyte to load Hubspot objects into AWS S3 data lake, filter data with Python script, and finally serve data into Postgresql, using DBT for modeling. It enabled to feed a resume platform with candidate data.
0Data Engineer	Developed ETLs for financial downstream tasks (dashboards, models) using Python and Airflow.
1Machine Learning Engineer	Developed hardware interfaces using Python.
3Data Scientist	Developed a customer segmentation using R, VBA, decisions trees and clustering analysis to define specific rules for each segment to comply with the Colombian Anti-Money Laundering and Counter-Terrorism Financing Risk Management System of a financial company specialized in investment banking, wealth management, asset management, corporate lending and sales and trading.
3Data Scientist	Built a system with several machine learning models (convolutional neural networks) to perform optical mark recognition on scanned forms for a large financial services group in Colombia.
2Data Analyst	Extracted data using Databricks and presented insights through dashboards in Tableau to increase the number of deliveries per hour of each logistics operator.
1Machine Learning Engineer	Understood the client’s needs and business processes.
1Machine Learning Engineer	Classified forum questions (abovebelow median score) using deep-learning-based NLP models and mixing unstructured and structured features, trained the task with >1M data samples and applied Lime explainability framework to suggest improvements in the questions. The predictions and suggestions were served through a dockerized FastAPI application deployed in AWS Fargate.
0Data Engineer	Developed production data pipelines using Spark to extract, transform, and load data into tables and views in Delta Lake on Databricks. Simplified data ingestion and incremental change propagation using Databricks-native features and syntax, including Delta Live Tables.
6Software Engineer	Participated in an initiative to help patients that suffer psoriasis disease by predicting the probability of a success treatment.
1Machine Learning Engineer	Developed a NLP model to detect fake news headlines, using Hugging Face transformers to fine-tune a DistilBERT architecture.
0Data Engineer	Created data flows in NIFI, taking AWS S3 as a source, cleaning and creating variables along the way, helping to save costs by 70% thanks to the change of methodology in the extraction and loading of the data.
0Data Engineer	Developed an algorithm to extract causes and conclusions from medical judicial documents obtained from public sources using web scraping with Selenium, BeautifulSoup, and Python scripts.
3Data Scientist	Developed a client clustering model using R to enable the third largest telecommunication company in Latin America to achieve more effective customer marketing via personalized value propositions. Clustering techniques combined hierarchical clustering preceded by a K-means to detect different client consumption behaviors.
3Data Scientist	Performed exploratory data analysis (EDA) on client-related data for a world leading consulting firm to assess data quality on current information available on tables with millions of rows and records. Concluded data was insufficient for model requirements and proposed new strategy.
1Machine Learning Engineer	Wrote a biweekly newsletter with insights on digital public opinion during the 2022 presidential elections in Colombia that was distributed among various national and regional news publishers through MailChimp.
0Data Engineer	Deployed ML models as endpoints with Cloud FunctionsAWS Lambda and GitHub Actions to be consumed online or batch by other SaaS systems as an operational input for factoring operations in a fintech company.
0Data Engineer	Processed, cleaned, and verified data quality using Python, Regular Expressions, and Great Expectations to ensure the structure, quality, format, and integrity of the data for EDA Machine Learning and BI processes.
3Data Scientist	Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Deployed a dockerized API in AWS ECS of the selected model integrated with an explainability framework.
0Data Engineer	Creation of architectures in AWS for critical projects of a large retail company in LatAm.
1Machine Learning Engineer	Modeled and simulated the BMS using thermo-dynamical and electrical models of mosfet transistors and lithium batteries, and implemented a control logic module in MATLABSimulink, Python, and C++ to evaluate the impact of element variation on its performance.
1Machine Learning Engineer	Developed and coordinated more than ten projects providing training for more than six companies.
1Machine Learning Engineer	Established the schedules for the employees of several US based companies in a way that the client’s personnel quota and metrics were always met.
2Data Analyst	Designed and taught diverse courses in the areas of Mathematics, Statistics, and Physics.
4MLOps	Maintained production-level data pipelines created with Airflow and AWS using tools like EC2, Glue, Batch, RDS, Redshift, DynamoDB, and S3.
0Data Engineer	Created Data deidentification and anonymization project working related to big data developing resource management and optimization for Apache Spark models, which interact with storage at AWS S3 buckets to deliver high-value datasets for advertisers to get value from pre-established metrics previously defined using company policies and thresholds.
4MLOps	Implemented setup of notifications and alerts in deployed applications.
2Data Analyst	Developed forecasting models based on client withdrawals historical information using VBA to anticipate client behavior and provide optimal client service while maximizing profitability. Achieved a 5% increase of fund return vs historical performance and a 50% reduction on service time (client waiting time vs historical service)
3Data Scientist	Developed sales forecasting models using TensorFlow and PyTorch to optimize product planning in Brazil’s operations.
0Data Engineer	Gathered, transformed and enriched user data from an Oracle database using SQL, Python and Pandas, to design and develop an enriched email messaging system through SalesForce using SOAP protocol to notify customers about purchases, products delivery updates, personalized discount campaigns, complaints responses, and return receipts. Reduced processes time by 24 man hours week. Deployed system to a private cloud of Windows Server.
0Data Engineer	Prepared and lectured business students, and graded different types of assignments and exams.
0Data Engineer	Implemented a recommendation system for recommending users retail stores & restaurants, based on their purchasing behavior, using Python, AWS EC2 and AWS SageMaker services.
3Data Scientist	Built a time series forecasting system to enable financial resource planning of units dispatched from distribution centers to stores for supply chain management of the largest retailer in Colombia.
2Data Analyst	Executed projects kick-off, developing the follow-up by means of a central interface function, and generated deliverables of my own area ensuring the achievement of targets.
1Machine Learning Engineer	Developed facial detection and emotion recognition models to detect smiling faces using Tensorflow and OpenCV. The models were deployed in a raspberry-pi and integrated into a vending machine for a marketing campaign.
2Data Analyst	Advised, reviewed and corrected the Paper-like reports written by the students who took the course.
2Data Analyst	Identified solutions based on Open Source and Free Software.
1Machine Learning Engineer	Worked and reviewed internal projects related to Computer Vision and Image Classification.
3Data Scientist	Built a database using Google BigQuery to store prediction models results of an integral IT solutions company.
0Data Engineer	Built data warehouse in PostgreSQL Amazon RDS database, and implemented model and data version control with DVC and Amazon S3. Achieved an RMSE of 0.2.
0Data Engineer	Automated and scheduled workflows using Airflow, Selenium, and scripts for continuous gathering of fuel sales data, currency exchange rates, and weather data.
0Data Engineer	Worked on full software stack (backend and frontend), focused on API design and middleware implementation.
3Data Scientist	Implemented modern dynamic cluster techniques such as dynamic K-Center to improve performance in a matching algorithm in the delivery process.
2Data Analyst	Supported the different business analysts by following up on the project requirements, due dates and schedule so that the tasks can be completed on time.
1Machine Learning Engineer	Generated a database from interviews with migrants in different places in Bogotá and by contacting the transit houses in Cúcuta. Which he then parsed in python to generate graphs for a report.
1Machine Learning Engineer	Built a solution for loan default prediction based on tabular data of an imbalanced dataset using Random Forest and XGBoost for classification of the clients, based on their credit score history with explainability of the prediction using SHAP to show the weight of the variables over the prediction.
1Machine Learning Engineer	Updated and maintained a risk management SAS database that served as a primary source of information for the risk team of Colombia’s largest bank.
1Machine Learning Engineer	Implemented an LSTM model that observes dance sequences and predicts the next position.
0Data Engineer	Worked alongside other FinTech and EdTech startups.
3Data Scientist	Developed end-to-end of machine learning solutions, from project scoping and data collection, to building Docker images with APIs or batch processes to serve trained models.
0Data Engineer	Designed and implemented a computer vision algorithm extracting transactional information from invoices, leveraged AWS Textract service and implemented in Python using Sklearn framework. This implementation enabled the company and its network of partners to handle remote transactions and comply with Covid-19 safety measures.
0Data Engineer	Managed and implemented data de-identification projects to ensure user privacy and anonymization to the company advertiser clients.
0Data Engineer	Participated in OKRs definition at sprint 0.
0Data Engineer	Processed Big Data (>1.5 PB) sources and created a data warehouse for analytics using Snowflake, AWS data stack, dbt, and Airflow for a programmatic advertising company.
0Data Engineer	Built a system in Laravel for ingesting emergency cases (security).
0Data Engineer	Maintained production planning software and automated report and visualization generation using R.
0Data Engineer	Developed connectors (e.g. ADA chatbot, SFTP SharepointS3 files) to an in-house framework using Python.
2Data Analyst	Organize and analyze data from different sources to support retail reporting, projects and initiatives.
3Data Scientist	Created and implemented an anomaly detection model for time series data to identify the unusual distribution of product categories for an online retail industry using time series analysis and Tensorflow probability techniques (Dirichlet Distribution to model multiple time series that add up to 1).
0Data Engineer	Captured, processed and visualized public and private data for the agribusiness sector to develop soil analysis and production quality projects.
0Data Engineer	Designed data architecture solutions using SAS to support and develop BI projects for a health entity in Brazil.
4MLOps	no more down times. More changes were continued introduced to application to increase even more its
1Machine Learning Engineer	Set up an ETL used to pull 100,000 images serialized as TensorFlow TF.Records in AWS EBS to be consumed by a computer vision object detection model trained on TensorFlows object detection API and deployed via Lambda. The solution includes a PythonStreamlit web application to simplify image uploads.
0Data Engineer	Implemented an incident management program to detect anomalies that could affect SAP Business Objects and SAP Data Services tools functionality.
0Data Engineer	Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in Redshift using dbt, AWS Glue, S3, RDS, Redshift, Spark, Linear (Agile workflow).
0Data Engineer	Supported the creation of strategies, solutions, and business proposals improving daily operations and reducing costs using AWS stack to IBM Cloud, migrating from AWS to IBM Cloud.
1Machine Learning Engineer	Tuned a Transformer-based document classifier with HuggingFace. Set up model monitoring logic to detect data covariate shift and log violation reports in AWS S3. Enabled an alarm that triggers once a certain number of violations had been detected with AWS SNS.
3Data Scientist	Built data processing pipelines, database cleaning, statistical analysis, and the application of various modeling techniques that helped to improve the company’s existing machine learning models to predict payment default and customer churn.
0Data Engineer	Developed and designed reports and dashboards using Microstrategy for the management team.
0Data Engineer	Developed and managed applications for Stock options managed by BoA for its 500 clients, providing fixes to production issues and leading a team of 6 people from Nearshore to deliver services to the high expectancy of BoA clients.
1Machine Learning Engineer	Designed and built 7 internet connected vending machines and 6 slot machines that used loyalty points awarded to clients of a utility company through a marketing campaign as medium of exchange. Machines were connected through an API to process the transactions.
4MLOps	Applied engineering skills to decouple an extensive monolithic application into more scalable services, improving availability and providing faster feature feedback while considering user experience and how to deliver a better onboarding process from a better front end to a more flexible back end.
2Data Analyst	Designed C-Level reports and dashboards using Power BI and Looker.
2Data Analyst	Designed data models used in BI tools.
2Data Analyst	Analyzed customers’ buying behavior using statistical metrics, detecting an improvement in the packaging of products that reduced approximately 20% of logistics expenses.
3Data Scientist	Developed a data pipeline using Spark on AWS EMR, and Tensorflow to process and train a state-of-the-art recommender system models with datasets of hundreds of GBs in size, which was accepted and ranked 6 out of 1.000 in the ACM RecSys 2020 challenge.
1Machine Learning Engineer	Supported machine learning models by architecting and migrating on-premises data pipelines to the cloud and delivered internal Azure and Machine Learning training to support the business models of Brazilian government companies.
1Machine Learning Engineer	Built a text classification model based on the DistilBERT transformer architecture using HuggingFace, Tensorflow, and MLflow. The model classified new posts on social networks as real or fake to avoid the negative impact of their quick proliferation. Additionally, the chosen transformer architecture allowed for making predictions in real-time, which was necessary for a context where vast volumes of data were produced every second.
0Data Engineer	Designed the data infrastructure and defined a solid framework to promote a standard development effort where code is scalable, secure, and portable. Coding standards like a CICD process, unit testing, parametrized ETLs, pipeline-embedded data quality checks, data governance, and backfill execution are some of the best practices applied to the code base.
0Data Engineer	Mentored juniors during their bootcamp phase.
2Data Analyst	Provided indicators to the sales force through specialized reports for daily monitoring of the operations.
1Machine Learning Engineer	Lead a team that built the analytics department in a large CPG company:
0Data Engineer	Built and designed a real-time data platform using Kafka, Spark, Flink, Kubernetes, Airflow and Dagster to provide a framework and different tools to enable different teams working upon an advanced advertising ecosystem to deploy data technologies and features seamlessly.
0Data Engineer	Automated portions of the vehicle delivery logistics process using Scriptcase.
3Data Scientist	Built and trained a brand (restaurant) recommender system using TensorFlow and CUDAGraphics Processing Units to suggest restaurants based on users preferences for the largest on-demand food delivery platform in Latin American. Utilized IDs and other user related features as inputs, in order to create a boost conversion within users by building a binary classifier trained on multiple similar tasks based on the CTR funnel. Achieved 15% lift in ads revenue.
0Data Engineer	Implemented CICD pipelines using GithubActions and Terraform to automate infrastructure deployment.
2Data Analyst	Classified data (e.g. finance, geography) and PII using the client’s criteria and guidelines.
0Data Engineer	Built an autonomous real-time Feature Store architecture using Pyspark, Databricks, GitHub, Docker, Jenkins and AWS ECS, dropping the time to a feature set to get to production from weeks to minutes for a Brazilian fintech.
3Data Scientist	Automated excel reports using Pandas, Numpy, SQLAlchemy and Power Query to save hundreds of hours of work of manual excel manipulation.
1Machine Learning Engineer	Assisted in building stock price prediction frameworks using financial and news data, deep RNNs, NLP, TensorFlow+Keras, and PyTorch for Latin Americas largest non-banking manager of financial assets and leading pension fund in the region.
2Data Analyst	Developed a feasibility and profitability analysis for potential clients using ad investment historical data.
1Machine Learning Engineer	Developed a web application for real-time quotes based on Vue, Nuxt.js, Node, Firebase and Google Run.
1Machine Learning Engineer	Gave lectures of Linear Algebra, Integral Calculus and Calculus of Several variables.
0Data Engineer	Performed synchronic Python programming classes according to the curriculum designed by the Ministry of Technology Information and Communication of Colombia.
2Data Analyst	Created an application to extract and analyze payroll data from PDFs using Python (from analysis to GUI-Graphical User Interface) to automate processes for the financial team of a bank in Bogotá.
0Data Engineer	Operated and enhanced a platform that aggregates data sources using MySQL from multiple sources (relational databases, raw files, API endpoints and manual uploads through Django GUI) to deliver trade transactions reports via email and generate aggregated tables to be consumed by banking clients; platform was deployed in a private cloud of Red Hat Enterprise Linux servers using Jenkins.
0Data Engineer	Designed, built, and implemented continuous data extraction ELT & ETL pipelines using Azure, Databricks and PySpark to integrate with data analytics platforms for marketing, health & fitness, information & technology services companies.

2Data Analyst

Developed full-stack biometric control software modules (users, time management, reporting) using Java and PostgreSQL.

4MLOps

Designed OLAP data warehouses with OLTP systems as data source using data lakes, ETLs, and data processing in multi-node architecture.

0Data Engineer

Implemented and maintained ETL pipelines.

0Data Engineer

Designed and implemented an ELT process with Airbyte to load Hubspot objects into AWS S3 data lake, filter data with Python script, and finally serve data into Postgresql, using DBT for modeling. It enabled to feed a resume platform with candidate data.

0Data Engineer

Developed ETLs for financial downstream tasks (dashboards, models) using Python and Airflow.

1Machine Learning Engineer

Developed hardware interfaces using Python.

3Data Scientist

Developed a customer segmentation using R, VBA, decisions trees and clustering analysis to define specific rules for each segment to comply with the Colombian Anti-Money Laundering and Counter-Terrorism Financing Risk Management System of a financial company specialized in investment banking, wealth management, asset management, corporate lending and sales and trading.

3Data Scientist

Built a system with several machine learning models (convolutional neural networks) to perform optical mark recognition on scanned forms for a large financial services group in Colombia.

2Data Analyst

Extracted data using Databricks and presented insights through dashboards in Tableau to increase the number of deliveries per hour of each logistics operator.

1Machine Learning Engineer

Understood the client’s needs and business processes.

1Machine Learning Engineer

Classified forum questions (abovebelow median score) using deep-learning-based NLP models and mixing unstructured and structured features, trained the task with >1M data samples and applied Lime explainability framework to suggest improvements in the questions. The predictions and suggestions were served through a dockerized FastAPI application deployed in AWS Fargate.

0Data Engineer

Developed production data pipelines using Spark to extract, transform, and load data into tables and views in Delta Lake on Databricks. Simplified data ingestion and incremental change propagation using Databricks-native features and syntax, including Delta Live Tables.

6Software Engineer

Participated in an initiative to help patients that suffer psoriasis disease by predicting the probability of a success treatment.

1Machine Learning Engineer

Developed a NLP model to detect fake news headlines, using Hugging Face transformers to fine-tune a DistilBERT architecture.

0Data Engineer

Created data flows in NIFI, taking AWS S3 as a source, cleaning and creating variables along the way, helping to save costs by 70% thanks to the change of methodology in the extraction and loading of the data.

0Data Engineer

Developed an algorithm to extract causes and conclusions from medical judicial documents obtained from public sources using web scraping with Selenium, BeautifulSoup, and Python scripts.

3Data Scientist

Developed a client clustering model using R to enable the third largest telecommunication company in Latin America to achieve more effective customer marketing via personalized value propositions. Clustering techniques combined hierarchical clustering preceded by a K-means to detect different client consumption behaviors.

3Data Scientist

Performed exploratory data analysis (EDA) on client-related data for a world leading consulting firm to assess data quality on current information available on tables with millions of rows and records. Concluded data was insufficient for model requirements and proposed new strategy.

1Machine Learning Engineer

Wrote a biweekly newsletter with insights on digital public opinion during the 2022 presidential elections in Colombia that was distributed among various national and regional news publishers through MailChimp.

0Data Engineer

Deployed ML models as endpoints with Cloud FunctionsAWS Lambda and GitHub Actions to be consumed online or batch by other SaaS systems as an operational input for factoring operations in a fintech company.

0Data Engineer

Processed, cleaned, and verified data quality using Python, Regular Expressions, and Great Expectations to ensure the structure, quality, format, and integrity of the data for EDA Machine Learning and BI processes.

3Data Scientist

Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Deployed a dockerized API in AWS ECS of the selected model integrated with an explainability framework.

0Data Engineer

Creation of architectures in AWS for critical projects of a large retail company in LatAm.

1Machine Learning Engineer

Modeled and simulated the BMS using thermo-dynamical and electrical models of mosfet transistors and lithium batteries, and implemented a control logic module in MATLABSimulink, Python, and C++ to evaluate the impact of element variation on its performance.

1Machine Learning Engineer

Developed and coordinated more than ten projects providing training for more than six companies.

1Machine Learning Engineer

Established the schedules for the employees of several US based companies in a way that the client’s personnel quota and metrics were always met.

2Data Analyst

Designed and taught diverse courses in the areas of Mathematics, Statistics, and Physics.

4MLOps

Maintained production-level data pipelines created with Airflow and AWS using tools like EC2, Glue, Batch, RDS, Redshift, DynamoDB, and S3.

0Data Engineer

Created Data deidentification and anonymization project working related to big data developing resource management and optimization for Apache Spark models, which interact with storage at AWS S3 buckets to deliver high-value datasets for advertisers to get value from pre-established metrics previously defined using company policies and thresholds.

4MLOps

Implemented setup of notifications and alerts in deployed applications.

2Data Analyst

Developed forecasting models based on client withdrawals historical information using VBA to anticipate client behavior and provide optimal client service while maximizing profitability. Achieved a 5% increase of fund return vs historical performance and a 50% reduction on service time (client waiting time vs historical service)

3Data Scientist

Developed sales forecasting models using TensorFlow and PyTorch to optimize product planning in Brazil’s operations.

0Data Engineer

Gathered, transformed and enriched user data from an Oracle database using SQL, Python and Pandas, to design and develop an enriched email messaging system through SalesForce using SOAP protocol to notify customers about purchases, products delivery updates, personalized discount campaigns, complaints responses, and return receipts. Reduced processes time by 24 man hours week. Deployed system to a private cloud of Windows Server.

0Data Engineer

Prepared and lectured business students, and graded different types of assignments and exams.

0Data Engineer

Implemented a recommendation system for recommending users retail stores & restaurants, based on their purchasing behavior, using Python, AWS EC2 and AWS SageMaker services.

3Data Scientist

Built a time series forecasting system to enable financial resource planning of units dispatched from distribution centers to stores for supply chain management of the largest retailer in Colombia.

2Data Analyst

Executed projects kick-off, developing the follow-up by means of a central interface function, and generated deliverables of my own area ensuring the achievement of targets.

1Machine Learning Engineer

Developed facial detection and emotion recognition models to detect smiling faces using Tensorflow and OpenCV. The models were deployed in a raspberry-pi and integrated into a vending machine for a marketing campaign.

2Data Analyst

Advised, reviewed and corrected the Paper-like reports written by the students who took the course.

2Data Analyst

Identified solutions based on Open Source and Free Software.

1Machine Learning Engineer

Worked and reviewed internal projects related to Computer Vision and Image Classification.

3Data Scientist

Built a database using Google BigQuery to store prediction models results of an integral IT solutions company.

0Data Engineer

Built data warehouse in PostgreSQL Amazon RDS database, and implemented model and data version control with DVC and Amazon S3. Achieved an RMSE of 0.2.

0Data Engineer

Automated and scheduled workflows using Airflow, Selenium, and scripts for continuous gathering of fuel sales data, currency exchange rates, and weather data.

0Data Engineer

Worked on full software stack (backend and frontend), focused on API design and middleware implementation.

3Data Scientist

Implemented modern dynamic cluster techniques such as dynamic K-Center to improve performance in a matching algorithm in the delivery process.

2Data Analyst

Supported the different business analysts by following up on the project requirements, due dates and schedule so that the tasks can be completed on time.

1Machine Learning Engineer

Generated a database from interviews with migrants in different places in Bogotá and by contacting the transit houses in Cúcuta. Which he then parsed in python to generate graphs for a report.

1Machine Learning Engineer

Built a solution for loan default prediction based on tabular data of an imbalanced dataset using Random Forest and XGBoost for classification of the clients, based on their credit score history with explainability of the prediction using SHAP to show the weight of the variables over the prediction.

1Machine Learning Engineer

Updated and maintained a risk management SAS database that served as a primary source of information for the risk team of Colombia’s largest bank.

1Machine Learning Engineer

Implemented an LSTM model that observes dance sequences and predicts the next position.

0Data Engineer

Worked alongside other FinTech and EdTech startups.

3Data Scientist

Developed end-to-end of machine learning solutions, from project scoping and data collection, to building Docker images with APIs or batch processes to serve trained models.

0Data Engineer

Designed and implemented a computer vision algorithm extracting transactional information from invoices, leveraged AWS Textract service and implemented in Python using Sklearn framework. This implementation enabled the company and its network of partners to handle remote transactions and comply with Covid-19 safety measures.

0Data Engineer

Managed and implemented data de-identification projects to ensure user privacy and anonymization to the company advertiser clients.

0Data Engineer

Participated in OKRs definition at sprint 0.

0Data Engineer

Processed Big Data (>1.5 PB) sources and created a data warehouse for analytics using Snowflake, AWS data stack, dbt, and Airflow for a programmatic advertising company.

0Data Engineer

Built a system in Laravel for ingesting emergency cases (security).

0Data Engineer

Maintained production planning software and automated report and visualization generation using R.

0Data Engineer

Developed connectors (e.g. ADA chatbot, SFTP SharepointS3 files) to an in-house framework using Python.

2Data Analyst

Organize and analyze data from different sources to support retail reporting, projects and initiatives.

3Data Scientist

Created and implemented an anomaly detection model for time series data to identify the unusual distribution of product categories for an online retail industry using time series analysis and Tensorflow probability techniques (Dirichlet Distribution to model multiple time series that add up to 1).

0Data Engineer

Captured, processed and visualized public and private data for the agribusiness sector to develop soil analysis and production quality projects.

0Data Engineer

Designed data architecture solutions using SAS to support and develop BI projects for a health entity in Brazil.

4MLOps

no more down times. More changes were continued introduced to application to increase even more its

1Machine Learning Engineer

Set up an ETL used to pull 100,000 images serialized as TensorFlow TF.Records in AWS EBS to be consumed by a computer vision object detection model trained on TensorFlows object detection API and deployed via Lambda. The solution includes a PythonStreamlit web application to simplify image uploads.

0Data Engineer

Implemented an incident management program to detect anomalies that could affect SAP Business Objects and SAP Data Services tools functionality.

0Data Engineer

Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in Redshift using dbt, AWS Glue, S3, RDS, Redshift, Spark, Linear (Agile workflow).

0Data Engineer

Supported the creation of strategies, solutions, and business proposals improving daily operations and reducing costs using AWS stack to IBM Cloud, migrating from AWS to IBM Cloud.

1Machine Learning Engineer

Tuned a Transformer-based document classifier with HuggingFace. Set up model monitoring logic to detect data covariate shift and log violation reports in AWS S3. Enabled an alarm that triggers once a certain number of violations had been detected with AWS SNS.

3Data Scientist

Built data processing pipelines, database cleaning, statistical analysis, and the application of various modeling techniques that helped to improve the company’s existing machine learning models to predict payment default and customer churn.

0Data Engineer

Developed and designed reports and dashboards using Microstrategy for the management team.

0Data Engineer

Developed and managed applications for Stock options managed by BoA for its 500 clients, providing fixes to production issues and leading a team of 6 people from Nearshore to deliver services to the high expectancy of BoA clients.

1Machine Learning Engineer

Designed and built 7 internet connected vending machines and 6 slot machines that used loyalty points awarded to clients of a utility company through a marketing campaign as medium of exchange. Machines were connected through an API to process the transactions.

4MLOps

Applied engineering skills to decouple an extensive monolithic application into more scalable services, improving availability and providing faster feature feedback while considering user experience and how to deliver a better onboarding process from a better front end to a more flexible back end.

2Data Analyst

Designed C-Level reports and dashboards using Power BI and Looker.

2Data Analyst

Designed data models used in BI tools.

2Data Analyst

Analyzed customers’ buying behavior using statistical metrics, detecting an improvement in the packaging of products that reduced approximately 20% of logistics expenses.

3Data Scientist

Developed a data pipeline using Spark on AWS EMR, and Tensorflow to process and train a state-of-the-art recommender system models with datasets of hundreds of GBs in size, which was accepted and ranked 6 out of 1.000 in the ACM RecSys 2020 challenge.

1Machine Learning Engineer

Supported machine learning models by architecting and migrating on-premises data pipelines to the cloud and delivered internal Azure and Machine Learning training to support the business models of Brazilian government companies.

1Machine Learning Engineer

Built a text classification model based on the DistilBERT transformer architecture using HuggingFace, Tensorflow, and MLflow. The model classified new posts on social networks as real or fake to avoid the negative impact of their quick proliferation. Additionally, the chosen transformer architecture allowed for making predictions in real-time, which was necessary for a context where vast volumes of data were produced every second.

0Data Engineer

Designed the data infrastructure and defined a solid framework to promote a standard development effort where code is scalable, secure, and portable. Coding standards like a CICD process, unit testing, parametrized ETLs, pipeline-embedded data quality checks, data governance, and backfill execution are some of the best practices applied to the code base.

0Data Engineer

Mentored juniors during their bootcamp phase.

2Data Analyst

Provided indicators to the sales force through specialized reports for daily monitoring of the operations.

1Machine Learning Engineer

Lead a team that built the analytics department in a large CPG company:

0Data Engineer

Built and designed a real-time data platform using Kafka, Spark, Flink, Kubernetes, Airflow and Dagster to provide a framework and different tools to enable different teams working upon an advanced advertising ecosystem to deploy data technologies and features seamlessly.

0Data Engineer

Automated portions of the vehicle delivery logistics process using Scriptcase.

3Data Scientist

Built and trained a brand (restaurant) recommender system using TensorFlow and CUDAGraphics Processing Units to suggest restaurants based on users preferences for the largest on-demand food delivery platform in Latin American. Utilized IDs and other user related features as inputs, in order to create a boost conversion within users by building a binary classifier trained on multiple similar tasks based on the CTR funnel. Achieved 15% lift in ads revenue.

0Data Engineer

Implemented CICD pipelines using GithubActions and Terraform to automate infrastructure deployment.

2Data Analyst

Classified data (e.g. finance, geography) and PII using the client’s criteria and guidelines.

0Data Engineer

Built an autonomous real-time Feature Store architecture using Pyspark, Databricks, GitHub, Docker, Jenkins and AWS ECS, dropping the time to a feature set to get to production from weeks to minutes for a Brazilian fintech.

3Data Scientist

Automated excel reports using Pandas, Numpy, SQLAlchemy and Power Query to save hundreds of hours of work of manual excel manipulation.

1Machine Learning Engineer

Assisted in building stock price prediction frameworks using financial and news data, deep RNNs, NLP, TensorFlow+Keras, and PyTorch for Latin Americas largest non-banking manager of financial assets and leading pension fund in the region.

2Data Analyst

Developed a feasibility and profitability analysis for potential clients using ad investment historical data.

1Machine Learning Engineer

Developed a web application for real-time quotes based on Vue, Nuxt.js, Node, Firebase and Google Run.

1Machine Learning Engineer

Gave lectures of Linear Algebra, Integral Calculus and Calculus of Several variables.

0Data Engineer

Performed synchronic Python programming classes according to the curriculum designed by the Ministry of Technology Information and Communication of Colombia.

2Data Analyst

Created an application to extract and analyze payroll data from PDFs using Python (from analysis to GUI-Graphical User Interface) to automate processes for the financial team of a bank in Bogotá.

0Data Engineer

Operated and enhanced a platform that aggregates data sources using MySQL from multiple sources (relational databases, raw files, API endpoints and manual uploads through Django GUI) to deliver trade transactions reports via email and generate aggregated tables to be consumed by banking clients; platform was deployed in a private cloud of Red Hat Enterprise Linux servers using Jenkins.

0Data Engineer

Designed, built, and implemented continuous data extraction ELT & ETL pipelines using Azure, Databricks and PySpark to integrate with data analytics platforms for marketing, health & fitness, information & technology services companies.