Gonzalo Hernández
Senior Data Scientist @Philip Morris International
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WORK HISTORY
Senior Data Scientist @Philip Morris International
Part of the Global Customer Segmentation team.Developed and deployed Reinforcement Learning models for Next-Best-Action recommendations, using contextual bandits on millions of customer interactions.Built pipelines with Presto SQL, Python, and Treasure Data to handle large-scale datasets (+3M rows).Applied RAG and LLM-based approaches to explore usability of new AI tools.Designed Digdag workflows and MLOps practices to ensure reproducibility and scalability in models and AI experiments.Collaborated cross-functionally with product managers, marketers, and engineers to translate AI outcomes into tangible business strategies.
EDUCATION
Digital House
Data Science
University of Buenos Aires
AI and Data Science Post-Degree Course, Data Science
University of Buenos Aires
Master of Engineering - Meng, Industrial Engineering
Learning by Helping
Máster en Innovación Social
SKILLS
ABOUT GONZALO HERNÁNDEZ
Industrial Engineer, currently working on Data Science. I love to continuously read and learn new Data Science tools, that improve my Phyton and Machine Learning tools. I am very excited to keep learning and adding this kind of skill. I found them very interesting and useful for my everyday job.I love challenges and changing environments: problem-solving is one of my strengths. The other one it\'s my ability to work with people, listen, understand their needs, and work toward them. I love teamwork and multidisciplinary teams (I found that it is through diversity that we can learn more about each other).I also teach a subject called Product Design at the Faculty of Engineering of the University of Buenos Aires. We encourage students to go through the creative process from identifying the problem to realizing a product prototype that solves the problem. We learn about topics such as Design Thinking, Creative Methodologies, Universal design, Empathy, and our problem-solving methodology among others.Github:/magic-gonEngineer | Process Improvement | Data AnalyticsSupply Chain | Python Data Analytics (Pandas, Numpy, Plotly, Seaborn, Matplotlib, Sklearn)| Universal Design | Consumer Insights | Data Science | Product Desing | Design Thinking
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