Gabriel Fernandez
Sr. Data Science
Erfahrungen
Jan. 2025 - Bis heute
6 MonatenSr. Data Science
Darwoft
- Developing end-to-end machine learning models for demand forecasting of pharmaceutical products. The models are based on sales data and external features such as macroeconomic indicators, weather conditions, and demographic data. We utilize Prophet, LightGBM, and XGBoost for model development. The forecasting process is conducted in parallel for 30 retailers and over 4,000 UPCs (product categories), ensuring scalability and efficiency in handling large datasets.
Mai 2024 - Jan. 2025
9 MonatenSr. Data Science
Finalis
- Lead 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. This algorithm, based on business logic, matches deals with affiliated partners from our database. The deployment was 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 the mined market data to provide strategic insights.
Jan. 2024 - Juni 2024
6 MonatenSr. 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 (binary classification: 0 for not enrolling, 1 for enrolling). This model helped in making decisions regarding the benefits of autopay enrollment and identified potential customers for autopay services.
- Classified customer calls based on several features, including outputs from large language models (LLMs), to determine whether the calls were related to Streaming Services or other service issues. This model identified customers calling the invoice system for streaming services requests, based on customer features and LLM subtopic classification from the invoice system.
- Projects were based on Snowflake for data warehousing, Databricks as a model development environment, and MLFlow for production pipelines.
Juni 2023 - Juni 2024
1 Jahr 1 MonateSr. Data Science & Data Analysis for Business Planning
Liberty Latin America
- Developed tools for conducting feasibility and viability analyses of telecommunications products, leveraging data analysis with Python, Streamlit, and Excel. This included creating a Python-based Web App for B2C product feasibility analysis, hosted on the cloud, which enabled parameterization, data ingestion, cash flow modeling, result generation, scenario saving, comparison, and financial evaluation with a focus on understanding demand sensitivity, custom-built to user specifications.
- Automated internal tools in Excel using Visual Basic macros for feasibility analysis, integrating price elasticity insights to enhance the accuracy of financial projections.
- Incorporated price elasticity analysis into feasibility models to assess the impact of price changes on product demand, allowing for strategic pricing decisions.
- Developed predictive machine learning models for demand forecasting of television and connectivity products, integrating sensitivity to pricing changes to model demand behavior accurately.
- Developed customer classification models across 12 markets in Latin American and Caribbean countries.
Okt. 2022 - Sept. 2023
1 Jahr Córdoba, Argentinien
Data Science & Business Planning
Bank of Córdoba (BANCOR)
- Developed machine learning models to predict customer behavior, including churn and propensity to buy, focusing on integrating price elasticity to evaluate customer response to interest rate changes in financial products.
- Excel and Power BI reports for KPIs analysis.
- SAS Enterprise Guide for Data Bases, Data Engineering.
Juni 2022 - Feb. 2023
9 MonatenData Analyst & Ssr. Data Scientist
Data Hub Collaborative
- Data Analysis applied to Football (soccer): Houston Dash (USA Women First Division), Oakland Roots (MLS).
- Conducted Data Science projects for the Morocco National Team during the Qatar World Cup 2022, involving five projects with optimized algorithms for real-time applications.
- Developed a Pitch Control Model (VORONOI Visual/video + live calculation of the controlled area by each player) for the Morocco National Team.
- Created models for average player’s positions (one for defensive phase, another for offensive phase + Velocity of each player under his name and corresponding visualizations) for the Morocco National Team.
Apr. 2021 - Jan. 2023
1 Jahr 10 Monaten Córdoba, Argentinien
Data Analyst & Ssr. Data Scientist
Agencia ProCordoba
- Reporting about international trade, periodic and occasional reports for consulting. Data mining, ETL. Dashboard development.
- Data Science applied to clustering to identify potential commercial partners and promote exports from Córdoba Province.
Sept. 2018 - Apr. 2021
2 Jahren 8 Monaten Córdoba, Argentinien
Data Analysis & Research
Petrini Valores S.A.
- Reporting about capital markets, periodic and occasional reports for trading and customers, including data mining and ETL processes.
- Data Science applied to forecasting financial time series using ARIMA, ARCH-GARCH, and Machine Learning (embedded models).
- Process automation.
Zusammenfassung
I am a Senior Data Science professional with extensive experience in building machine learning models and data analysis tools for varied industries including pharmaceuticals, telecommunications, banking and sports. I focus on developing scalable forecasting methods, unified data systems and predictive analytics that drive clear insights and practical decision-making.
My hands-on approach has allowed me to lead projects that integrate external data like macroeconomics, weather and demographics with in-house sales and customer data. I work with modern tools such as Prophet, LightGBM, Snowflake, and Streamlit to optimize processes, automate reporting and enhance performance across complex datasets.
Sprachen
Spanisch
Muttersprache
Englisch
Verhandlungssicher
Ausbildung
Universidad Nacional de Córdoba
BACHELOR OF SCIENCE IN ECONOMICS, Majors: Economics, Statistics, Econometrics, Math. · Córdoba, Argentinien
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