Rodrigo Cisneros Santin

I’m a Data Scientist specialized in “discovering patterns” and creating harmony within complex datasets. My multidisciplinary background in Industrial Design and Audio Production shapes how I approach data visualization and creative problem-solving.

I transform raw data into actionable insights using Python, SQL, and statistical modeling. In the Reckitt case study (EBAC), I optimized inventory management through historical sales trend and seasonality analysis, built forecasting models, and developed advanced dashboards for critical KPI visualization and data-driven business decisions.

I also work with real-world signals through the Spotify API, processing large-scale datasets to identify consumption trends and Top 10 chart retention. On mobile app strategy, I implemented NLP for sentiment analysis, performed text mining for keyword extraction, and used statistical correlation analysis and hypothesis testing to define strategic action frameworks—while maintaining a strong focus on logical thinking, optimization-oriented solutions, and clear communication of insights.