Gabriel Fernandez-Sr. Data Science
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Experience
Lead Data Scientist
Personar
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.
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.
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.
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.
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.
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.
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.
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.
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.
Data Analyst & Mid-Level 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.
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.
Industry Experience
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Experienced in Banking and Finance, Government and Administration, Pharmaceutical, Information Technology, Telecommunication, and Sport.
Business Area Experience
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Experienced in Business Intelligence, Research and Development, Finance, Information Technology, Supply Chain Management, and Product Development.
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
Education
National University of Córdoba
Bachelor of Science in Economics · Economics · Córdoba, Argentina
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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