Andreé Vela
's-Hertogenbosch
Summary
Data Scientist with 7+ years of experience in Data Science and Software Development. Published 5+ papers in ML and currently securing a patent. Specializing in forecasting, optimization and a little bit of Gen AI. Currently working at the largest online supermarket in the Netherlands. Let's collaborate
Overview
11
11
years of professional experience
Work History
Machine Learning Engineer
Picnic
10.2024 - Current
- Company Overview: Online Supermarket
- Developed and optimized end-to-end machine learning models to accurately predict article and order demand across the entire supermarket, enhancing inventory management and operational efficiency
- Created forecasting models to determine the required number of trips, ensuring sufficient vehicle and runner availability to meet delivery demands
- Partnered with business leaders to identify opportunities, define actionable business cases, and align machine learning solutions with strategic goals
- Designed and executed A/B tests to evaluate the performance of models and algorithms, ensuring robust and data-driven decision-making
- Online Supermarket
Engineer Doctorate in Data Science (Candidate)
Jheronimus Academy of Data Science
09.2022 - 10.2024
- DLL – Automating Adverse Media Screening: Developed a containerized application using NLP techniques (similarity, sentiment, and recency analysis) to rank potential clients based on adverse media screening, reducing processing time from hours to 30 minutes.
- Diagnostiek voor U – Data Science in Healthcare: Ensured customer data privacy via anonymization, enriched extracted data from free-text fields, and conducted demographic clustering analysis to provide strategic insights for policy planning and service allocation.
- Essent – Forecasting Energy Price Anomalies: Designed machine learning models integrating weather and operational data to detect energy price anomalies in the Balancing Market (BAL), improving energy trading decision-making.
- Demcon – Vital Signs Dashboard for Patients with Osteoarthritis and Diabetes: Led data pipeline creation and PoT sensor testing in an international project, collecting patient data from 20 volunteers and implementing a dashboard using Python, Streamlit, and HoloViz.
Data Scientist - Journey Estimation Times
Rappi
06.2020 - 08.2022
- Company Overview: Food Delivery
- Improved and maintained the 6+ ETA models for 9 different countries
- Ensured high quality data in the different datamarts: preprocessing, imputation, periodic features generation, etc
- Conducted A/B testing for the different operational zones
- Built pipelines using Airflow to automate data gathering, model training, and metrics generation
- Released and monitored models in production to ensure the quality of the predictions
- Streamlined the order fulfillment process by building an optimization model using Gurobi
Software Engineer
Tecnológico de Monterrey
01.2014 - 01.2019
- Company Overview: Education
- Worked closely with the academic departments to design solutions to their operational needs
- Developed a DAO library for AngularJS enabling RESTful access to SharePoint services
- Developed REST and SOAP APIs for digital invoicing that Increased the invoicing volume by 30%
- Design and implemented 15+ Proof of Concept in collaboration with other teams
- Led the creation of a drag-and-drop application to enable candidates to explore different career paths during their stance at the university
- The admissions request increased more than 20% compared to previous year
- Education
Education
Candidate to Doctor in Engineering - Data Science
Technological University of Eindhoven
Eindhoven, The Netherlands10.2024
M. S. - Computer Science
Tecnológico De Monterrey
Monterrey, México06.2021
B. - Software Engineering
Universidad Autónoma De Yucatán
Mérida, México06.2014
Skills
- Machine learning
- Time series Analysis
- Feature engineering
- Natural Language Processing
- Clustering algorithms
- Model development
- Scikit-learn
- XGBoost
- Pytorch
- Prophet
- Snowflake
- Airflow
- MLFlow
- PySpark
Accomplishments
- Patent: Non-intrusive Monitoring System for Occupancy Levels in Enclosed Spaces, [link]
Languages
Spanish
Native language
English
Advanced
C1
Dutch
Beginner
A1
Timeline
Machine Learning Engineer
Picnic
10.2024 - Current
Engineer Doctorate in Data Science (Candidate)
Jheronimus Academy of Data Science
09.2022 - 10.2024
Data Scientist - Journey Estimation Times
Rappi
06.2020 - 08.2022
Software Engineer
Tecnológico de Monterrey
01.2014 - 01.2019
Candidate to Doctor in Engineering - Data Science
Technological University of Eindhoven
M. S. - Computer Science
Tecnológico De Monterrey
B. - Software Engineering
Universidad Autónoma De Yucatán
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