Gabriel Fernandez

Sr. Data Science

Córdoba, Argentina

Experience

Jan 2025 - Present
7 months

Sr. Data Science

Darwoft

  • Developing end-to-end machine learning models for demand forecasting of pharmaceutical products.
  • Models based on sales data and external features such as macroeconomic indicators, weather conditions, and demographic data.
  • Utilizing Prophet, LightGBM, and XGBoost for model development.
  • Forecasting process conducted in parallel for 30 retailers and over 4,000 UPCs, ensuring scalability and efficiency in handling large datasets.
Jun 2024 - Jun 2024
1 month

Product Impact Measurement Tool (Feasibility Analysis)

Liberty Latin America

  • 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.
May 2024 - Jan 2025
9 months

Sr. Data Science

Finalis

  • Lead the Data Science team within the Connect division, structuring the technology stack and database structures.
  • Unified data sources to streamline data management processes.
  • Developed a matchmaking algorithm to connect investment bankers with potential collaborators for investment banking deals, utilizing business logic. Deployment carried out using Snowflake and Streamlit.
  • Conducted market research through data mining to gather market insights and trends.
  • Built a machine learning model to predict trends across various sub-industries, leveraging mined market data to provide strategic insights.
May 2024 - May 2024
1 month

Classification Models for Streaming Services

T-Mobile USA

  • 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.
Jan 2024 - Jun 2024
6 months

Sr. Data Science

T-Mobile USA (Global Logic Consulting)

  • Developed classification machine learning models for customer analysis:
  • Predicted the likelihood of new customers enrolling in autopay.
  • Classified customer calls based on several features, including outputs from large language models (LLMs), determining whether calls were related to Streaming Services or other service issues.
Jun 2023 - Jun 2024
1 year 1 month

Sr. Data Science & Data Analysis for Business Planning

Liberty Latin America

  • 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.
Oct 2022 - Sep 2023
1 year

Data Science & Business Planning

Bank of Córdoba (BANCOR)

  • Developed machine learning models to predict customer behavior, including churn and propensity to buy.
  • Integrated price elasticity to evaluate customer response to interest rate changes in financial products.
  • Produced Excel and Power BI reports for KPIs analysis.
  • Worked with SAS Enterprise Guide for databases and data engineering.
Oct 2022 - Oct 2022
1 month

Pitch Control Models

Morocco National Team

  • 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.
Jun 2022 - Feb 2023
9 months

Data Analyst & Ssr. Data Scientist

Data Hub Collaborative

  • Data Analysis applied to football:
  • Worked with Houston Dash (USA Women First Division) and Oakland Roots (MLS).
  • Conducted Data Science projects for the Morocco National Team during the Qatar World Cup 2022, optimizing algorithms for real-time applications on five distinct projects.
Apr 2021 - Jan 2023
1 year 10 months

Data Analyst & Ssr. Data Scientist

Agencia ProCordoba

  • 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.
Sep 2018 - Apr 2021
2 years 8 months

Data Analysis & Research

Petrini Valores S.A.

  • Produced reports about capital markets for trading and customers.
  • Performed data mining and ETL.
  • Applied forecasting techniques in Data Science:
  • Developed financial time series (e.g., ARIMA, ARCH-GARCH).
  • Used machine learning with embedded models.
  • Automated processes.
Córdoba, Argentina

Bachelor of Science in Economics

Universidad Nacional de Córdoba

Majored in Economics, Statistics, Econometrics, and Math.

Languages

Spanish
Native
English
Advanced

Education

Universidad Nacional de Córdoba

Bachelor of Science in Economics · Economics, Statistics, Econometrics, Math · Córdoba, Argentina