Description

Data Scientist with 5+ years of experience delivering machine learning and advanced analytics solutions to optimize products, drive revenue, and personalize user experiences. I’ve worked on predictive models, recommender systems, computer vision, and NLP projects including RAG and CLIP. Proficient in Python, SQL, Spark, and Airflow, with a strong focus on business impact. I take full ownership of projects—from problem definition to deployment and impact analysis.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Adevinta
Senior Data Scientist
January 2022 - February 2025 (3 years and 1 month)
• Used RAG to generate Ads descriptions keeping the style of the publisher.
• Developed a POC for automatic prompt refinement using RLHF with PPO
• Developed a machine learning model for visibility products, leading to a 125% increase in leads per Ad.
• Implemented an image classification model using CLIP, achieving >95% accuracy and improving SEO positioning, resulting in a 5% increase in SEO clicks.
• Built a recommendation engine using ALS in Apache Spark, leading to 16% of leads coming from recommendations.
Adevinta,Data
Analyst
March 2020 - December 2022 (2 years and 9 months)
• Performed user clustering analysis using DBSCAN and LDA to define customer profiles, enabling the marketing team to personalize campaigns and optimize targeting strategies
• Defined and implemented KPIs using SQL and Python, working closely with Product and Sales teams to ensure accurate measurement and enable data-driven decision-making.
• Designed and executed A/B tests with Optimizely, assessing the impact of new features and UI changes, leading to significant improvement in conversion rates and user engagement.
Accenture,Data
Analyst/Data Scientist
January 2018 - March 2022 (4 years and 2 months)
• Developed Random Forest models to predict payment delays, optimizing cash flow forecasting and risk management.
• Designed and implemented statistical forecasting for a global pharmaceutical company, enhancing forecasting accuracy across multiple regions.
• Applied computer vision techniques using OpenCV for the aircraft industry, improving image processing workflows and increasing processing efficiency.