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Work Background
GSKDigital Data Science Lead
Sep. 2024Ciudad de México, México-Achieved a 10%+ increase in open rate (OR) for mass email campaigns of a priority brand by analyzing historical engagement and redefining segmentation criteria to exclude low-engagement physicians.
-Developing a 2025 roadmap to enhance omnichannel digital maturity, integrating a 360° view of customer interactions across channels. -Collaborating with data engineers to identify and validate local data sources within the data lake, ensuring data integrity and enabling automated reporting to streamline operational decision-making.
CoppelData Science Manager
Aug. 2022 - Sep. 2024Mexico City, Mexico- Led NLP analysis on 100K+ exit interviews using BERTopic with transformer-based sentence embeddings, detecting key attrition drivers and quantifying leadership gaps as the main factor behind a 15% voluntary turnover reduction opportunity.
- Estimated opportunity cost in clothes, furniture, and financial products sales due to employee turnover in Coppel and Bancoppel branches.
- Reduced time by 87% in staff turnover forecast development by automating scripts, restructuring logic, and refining the turnover formula.
- Detected inefficiencies in the hiring funnel, revealing an annual loss of 36K candidates in the application process and 70K viable candidates in psychometric exams.
- Led end-to-end delivery of data science projects, from ideation to execution
CoppelSenior Data Scientist
Apr. 2022 - Aug. 2022Mexico City, Mexico
CoppelData Scientist
Aug. 2019 - May. 2022Mexico City Area, Mexico- Designed, deployed, and monitored a target-setting model for 1,500+ stores using IBM Cloud Pak, with built-in automatic prediction correction based on store clustering and segment distributions. Achieved a 0.5% increase in loan placements by aligning monthly targets with business objectives.
- Enhanced model accuracy by 7% for peak day prediction in loan payment areas. Ensured reliable production deployment and monitoring via IBM Cloud Pak, enabling workforce optimization and operational efficiency.
- Developed a dynamic profitability indicator that clusters stores based on type and adapts to seasonality trends, ensuring accurate expense monitoring and benchmarking across branches.
- Adjusted predictive sales models to adapt to COVID-19 market shifts
Physics Institute UNAMIntern
Aug. 2018 - Jun. 2019Ciudad de México y alrededores, MéxicoDevelopment of a Data Science Course using R statistical software: https://github.com/natorro/swirl-rfordatascience contributions from my GitHub account mdmddan
Teamwork experience with GitHub
MAPFREReinsurance Analyst
Dec. 2017 - Jun. 2018Ciudad de MéxicoDatabase management and analysis
Generation of reports Incomes revision in the reinsurance area
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