Gabriel Fernandez - Sr. Data Science

Córdoba, Argentina

Experience

Jan 2025 - Present

1 year 1 month

Sr. Data Science

Darwoft

Developing end-to-end machine learning models for demand forecasting of pharmaceutical products. Models are based on sales data and external features such as macroeconomic indicators, weather conditions, and demographic data.
Utilizing Prophet, LightGBM, and XGBoost for model development.
Conducting forecasting process 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 a Python-based web app for B2C product feasibility analysis hosted on the cloud, enabling parameterization, data ingestion, cash flow modeling, result generation, scenario saving, comparison, and financial evaluation with demand sensitivity focus.
Automated internal Excel tools using Visual Basic macros, integrating price elasticity insights to enhance financial projection accuracy.

May 2024 - Jan 2025

9 months

Sr. Data Science

Finalis

Led the data science team within the Connect division, responsible for structuring the entire technology stack and defining database structures.
Unified data sources and optimized their utilization to streamline data management processes.
Developed a matchmaking algorithm to connect investment bankers with potential collaborators for investment banking deals using business logic, and deployed it with 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 calling the invoice system for streaming services requests based on customer features and LLM subtopic classification.
Developed ML classification model to identify potential customer enrollment in autopay services.
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

Developed classification machine learning models for customer analysis.
Predicted the likelihood of new customers enrolling in autopay (binary classification), aiding decision-making on autopay benefits.
Classified customer calls using features including outputs from large language models (LLMs) to determine if calls 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 conducting feasibility and viability analyses of telecommunications products using Python, Streamlit, and Excel.
Incorporated price elasticity analysis into feasibility models to assess the impact of price changes on product demand.
Developed predictive machine learning models for demand forecasting of television and connectivity products, integrating sensitivity to pricing changes.
Built customer classification models across 12 markets in Latin America and Caribbean countries.

Oct 2022 - Sep 2023

1 year

Córdoba, Argentina

Data Science & Business Planning

Bank of Córdoba (BANCOR)

Developed machine learning models to predict customer behavior, including churn and propensity to buy, integrating price elasticity to evaluate customer response to interest rate changes.
Created Excel and Power BI reports for KPI analysis.
Used SAS Enterprise Guide for database operations and data engineering.

Oct 2022 - Oct 2022

1 month

Pitch Control Models

Morocco National Team

Developed a pitch control model using Voronoi diagrams for live calculation of controlled areas by each player.
Calculated average player positions for defensive and offensive phases and player velocities with corresponding visualizations.

Jun 2022 - Feb 2023

9 months

Data Analyst & Ssr. Data Scientist

Data Hub Collaborative

Applied data analysis to football, including projects for Houston Dash (USA Women’s First Division) and Oakland Roots (MLS).
Delivered data science projects for the Morocco national team during the Qatar World Cup 2022, optimizing algorithms for real-time applications.

Apr 2021 - Jan 2023

1 year 10 months

Córdoba, Argentina

Data Analyst & Ssr. Data Scientist

Agencia ProCordoba

Produced periodic and ad hoc international trade reports for consulting, including data mining, ETL processes, and dashboard development.
Applied data science clustering techniques to identify potential commercial partners and promote exports from Córdoba Province.

Sep 2018 - Apr 2021

2 years 8 months

Córdoba, Argentina

Data Analysis & Research

Petrini Valores S.A.

Generated periodic and ad hoc capital markets reports for trading and clients, performing data mining and ETL.
Applied forecasting techniques to financial time series using ARIMA, ARCH-GARCH, and machine learning embedded models.
Automated processes to improve efficiency.

Skills

Python (Pandas, Numpy, Scipy, Sklearn, Matplotlib, Plotly, Pyspark, Polars, Streamlit)
Sas Enterprise Guide
Cloud Environments: Gcp (Big Query, Storage, Automl), Aws (Ec2, S3), Databricks, Snowflake
Sql (Sql Server, Mysql, Postgresql)
Advanced Excel (Vba, Conditional Formatting, Pivottables)
Microsoft Power Bi

Languages

Spanish

Native

English

Advanced

Education

Universidad Nacional de Córdoba

Bachelor of Science in Economics · Economics · Córdoba, Argentina

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