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0Data Engineer
| Implemented ETL processes to extract data stored in data lakes and relational databases, to feed a dimensional model stored in a data warehouse using AWS and PySpark. Served BI visualization tools over a data warehouse to address business questions. |
0Data Engineer
| Designed and built a data warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT and SQL. |
0Data Engineer
| Built a Data Mesh architecture using Terraform, AWS Step Functions, AWS EMR, and GitHub actions allowing all employees in the company to contribute with their ETLs to the data lake. |
0Data Engineer
| Assisted an insurance web application development using Java, Planview, and MS SQL server that enabled one of the largest worldwide banking and financial institutions to sell to all Latin American countries. Tasks included functional documentation and blueprint creation for technical requirements and specifications. |
1Machine Learning Engineer
| Developed and deployed a text assistant using novel NLP techniques. |
1Machine Learning Engineer
| Contributed to an Apache Impala migration and automation of internal processes in Python (Pandas, Numpy) using Agile methods. Migrated SAS code to Impala and validated new processes to ensure data integrity. |
3Data Scientist
| Designed and analyzed a customer segmentation using BigQuery, R, Python, Data Studio, Power BI, Gephi and Docker for a leading retirement and pension fund management company in Colombia. Processed unstructured data using experiment designs and topic modeling over customer experience NPS surveys and created visualizations to generate insights and product analytics per segment. |
0Data Engineer
| Developed ETL processes using Microsoft Data Tools suite (SASS, SSIS, and SSRS) from Oracle databases and non-structured data to multidimensional cubes using python, achieving streamlined data processing and analysis for the highest court within Guatemalas judiciary branch. |
1Machine Learning Engineer
| Implemented and compared multiple image classification algorithms such as SVM and k-NN with HOG and CNNs to evaluate the efficiency of machine-assisted colon polyps assessment for cancer detection. The article was accepted for publication in a special edition of the MDPI Applied Sciences journal. |
0Data Engineer
| Managed projects related to migration from On-Prem (Teradata) to the Cloud (AWS, GCP). |
0Data Engineer
| Implemented a centralized data warehouse for data science projects using Delta Lake, Hive Metastore, and Azure Storage to enable continuous training of machine learning models. |
0Data Engineer
| Identified, analyzed, and resolved complex errors within a service using SQL and Bigquery, leveraging deep understanding of the REST API services and synchronousasynchronous messaging styles. |
1Machine Learning Engineer
| Optimized and automated SAS processes by transforming them into SQL Impala code orchestrated through Python. |
0Data Engineer
| Developed several tools using Javascript and Node.js to automate and optimize operative processes. |
1Machine Learning Engineer
| Worked on the EDA, ETL pipeline, and calibration of 3 models to predict the probability of a loan default for a peer-to-peer lending company. |
0Data Engineer
| Worked as a technical leader in the development of bus fleet regulation system project, using data streaming pipeline analytics on GCP for better real-time decision making at trunk bus system management. |
1Machine Learning Engineer
| Rewrote a segmentation model from an old Tensorflow version to the latest Pytorch version, to speed up the training and inference time and make it easier to export to other formats like ONNX. |
0Data Engineer
| Provided instruction to students in computer architecture and 8086 Assembly. |
1Machine Learning Engineer
| Developed and monitored an NLP model to detect fake news headlines, using Hugging Face transformers to fine-tune a DistilBERT architecture, achieving an f1-score of 0.94. |
2Data Analyst
| Coordinated the implementation of Power BI to replace Excel and Google Sheets as a reporting and dashboarding tool for the operations and administrative departments in an IT and software development company; it enabled more stethical storytelling dashboards; worked alongside delivery managers to define designs. |
1Machine Learning Engineer
| Modified a heuristic algorithm made in Python to use multiprocessing, improving the execution time of each iteration from 2 hours to less than 30 minutes. |
1Machine Learning Engineer
| Retrained a previous machine-learning-powered model to leverage new data and improved understanding of credit risk modeling to improve our credit underwriting capabilities using state of the art machine learning models. |
0Data Engineer
| Proposed and implemented optimization models and machine learning strategies to support decision-making for the technical department of buses. |
3Data Scientist
| Participated as a ponent and speaker in international conferences and robotics meetings. |
1Machine Learning Engineer
| Implemented image processing functionalities such as perspective correction, histogram equalization, image segmentation, and color comparison and exposed them as API services using Django to develop the endpoints for a medical suite application developed by the company specialized on measuring and tracking users’ health. |
2Data Analyst
| Transformed and cleaned data for analysis. |
0Data Engineer
| Implemented data models using dbt and automation packages and scripts with Python Package Development. |
0Data Engineer
| Support activities in computers and government software, configuration of Linux equipment and network systems. |
3Data Scientist
| Formulated Buy ‘Till You Die statistical models to forecast one-year revenue and one-year survival probability (churn) of > 13000 recurrent customers of the company, and automated them in a Python module that fed the Metabase analytics infrastructure. This enabled the CEO, and Financial and Sales teams to plan ahead strategic decisions for customer acquisition and retention during 2021 and 2022. |
0Data Engineer
| Studied magnetic, electrical, conductive, and thermal properties of bismuth ferrite (BFO) and its applications in CPUs manufacturing. Automated the experiments and data collection with C++ and LabView. |
0Data Engineer
| Developed an OpenCV model that counted people in rooms using security camera video footage during Covid-19 quarantines that sent alerts when a room was above capacity. |
2Data Analyst
| Developed a logistics expenses forecast model for new products and business lines launching. |
0Data Engineer
| Implemented a new ETL pipeline to integrate multiple sources of data (e.g. main participants, investments, costs) from Excel files and website data (gathered with Python scrapers) related to the LATAM public infrastructure sector. Extracted and cleansed data using Python and loaded to PowerBI. |
1Machine Learning Engineer
| Collected, cleaned and stored fintech customer data for data analytics and machine learning tasks. |
0Data Engineer
| Identified Oracle, DB2, and plain text data sources of primary banking processes (e.g. lending, accounting, payments) to document the lineage of data used by business users in SQL Server. |
0Data Engineer
| Architected data analytics solutions. |
3Data Scientist
| Applied text classification and NER (Named Entity Recognition) algorithms to analyze petitionscomplaintsclaims (PCCs) tickets from a utility’s CRM database. The solution was implemented with the Rasa framework using a NLU (Natural Language Understanding) pipeline and led to 30% reduction in unanswered PCCs and legal claims. |
2Data Analyst
| Measured by conventional and stochastic methods the media expenditure, media mix analysis and multi-touch attribution of clients’ traditional media and digital marketing campaigns to optimize the budget, maximize brand exposure, CTR, CPM, conversion rate and ROI. |
0Data Engineer
| Developed a predictive behavior model with an accuracy score of 70% to improve customer retention for the seventh-largest bank in Argentina, HSBC. Tools used included SSIS, R, and XGBoost. |
1Machine Learning Engineer
| Executed multiple models for object detection on low cost devices, such as a YOLO model with transfer learning for detecting vehicles and a custom MobileNet for curb detection. |
1Machine Learning Engineer
| Performed an exploratory data analysis using scikit-learn and Matplotlib to find the most relevant predictors regarding the classification task. |
2Data Analyst
| Developed marketing strategies based on data mining techniques such as cohort analysis and RFM model using Python and SAS and focused on customer recovery, loyalty, and retention. |
5Analytics Engineer
| Gathered requirements, extracted, cleaned, loaded and checked data structures to be consumed and used to create ML models using Python. |
1Machine Learning Engineer
| Developed a solution to identify probable bank loan defaults using gradient-boosted tree models. Deployed a Docker containerized API via GitHub Actions on AWS ECS and stood up a server with MLFlow to automate model training. |
0Data Engineer
| Scheduled and monitored workflows using Apache Airflow along with PostgreSQL, Redshift, S3, SnowFlake, Python, Numpy, and Pandas, including: |
0Data Engineer
| Blueprinted a Python virtual wallet project for traineesjuniors joining the company. |
1Machine Learning Engineer
| Created a PoC for a live chat app using a Golang backend server. The app’s homepage is updated in real time with information from different chat rooms. It gathers information from multiple users and rooms and then broadcasts the messages to each set of users. The app was based on websocket protocol and supported by Kafka to be able to handle real time connections. Achieved scaling using AWS ECS. |
2Data Analyst
| Elaborated the documentation for the three processes migrated and presented it to the operators team for the management and monitoring of the processes. |
0Data Engineer
| Built the data engineering team and led the architecture design of several projects for the health industry using Airflow, Python and AWS services (Gateway, S3, EC2, Redshift, Spectrum). |
1Machine Learning Engineer
| Developed a credit scoring model (default prediction) using Python, SQL and tree based Scikit-Learn machine learning models for the bank’s business and corporate clients (low default portfolio). |
1Machine Learning Engineer
| Implemented a hyper parameter tuning pipeline for the curb detection model using hyperband in KerasTuner that helped reduce the time a person would need to be assigned to this task, as well as increasing the number of parameters being searched inside the parameter space. |
0Data Engineer
| Implemented and deployed an event-driven serverless app in Slack using Python, AWS Lambda, AWS DynamoDB, AWS EventBridge and AWS S3 to automate operational requests across the organization, reducing by ~60% operations processes time. Standardized and centralized in DynamoDB data from multiple sources (Airtable Google Sheets AWS RDS). |
1Machine Learning Engineer
| Built a loan default prediction model using scikit-learn and MLflow. The model comprised two stages i) a feature selection module that filtered out the non-relevant predictors based on the gini metric of a decision tree trained on the dataset and ii) a logistic regression model that predicted the loan status. This model helped to minimize the risk of losing money while lending to customers. |
0Data Engineer
| Set up and managed the firewalls, switches, APs, and server connections at the coworking space. |
5Analytics Engineer
| Supported class development through question resolution, test and classwork grading. |
0Data Engineer
| Led design and development of OLAP database to organize enterprise databases and support complex data analysis. |
3Data Scientist
| Analyzed and identified product KPI data drivers to find ways of expressing those relationships using regression analysis, descriptive statistics, and Alteryx. |
1Machine Learning Engineer
| Developed time series predictions using Garch models to forecast asset returns towards implementing a smart beta strategy for portfolio management. |
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. |