Sr. Data Science

• Created Python-based web app for B2C product feasibility analysis, hosted in the cloud:
• Enabled parameterization, data ingestion, cash flow modeling, result generation, scenario saving, comparison, and financial evaluation.
• Focused on understanding demand sensitivity.
• Automated internal tools in Excel using Visual Basic macros for feasibility analysis, incorporating price elasticity insights to enhance financial projections.

• Developed ML classification model to identify customers requesting streaming services through invoice systems.
• Created ML classification model to identify potential customer enrollment in autopay services.
• Both projects utilized Snowflake for data warehousing, Databricks for model development, and MLFlow for production pipelines.

• Developed tools for feasibility and viability analyses of telecommunications products, leveraging Python, Streamlit, and Excel.
• Incorporated price elasticity analysis into feasibility models for assessing the impact of price changes on product demand.
• Created predictive machine learning models for demand forecasting of television and connectivity products, integrating sensitivity to pricing changes.
• Designed customer classification models across 12 markets in Latin American and Caribbean countries.

• Developed Pitch Control Model:
• VORONOI visual/video calculation of controlled area by each player.
• Generated average player positions for defensive and offensive phases, including velocity of each player visualized under their name.

• Produced reports about international trade, periodic and occasional ones for consulting.
• Performed data mining, ETL, and dashboard creation.
• Applied clustering techniques in Data Science to identify potential commercial partners.
• Promoted exports from Córdoba Province.

Majored in Economics, Statistics, Econometrics, and Math.