Salomon Pimentel Bautista
I am a data scientist with a strong track record of turning data into growth.
About
I am a data scientist with a strong track record of turning data into growth. I build dashboards, predictive models, and automate processes using SQL, Python, R, and Tableau to support user acquisition and campaign optimization. I thrive collaborating across teams to translate insights into strategic actions that drive growth.
In my roles across e-commerce, media, and financial services, I deliver dashboards, ETL improvements, and ML models that inform decisions and improve efficiency. I enjoy translating complex data into clear storytelling and practical improvements that stakeholders can act on.
- 10 years' experience
- Joined December 2025
Industry experience
- Media & Entertainment
- Financial Services
- Professional Services
- Software & Internet
- Retail
Work experience· 8 roles
Developed and maintained interactive dashboards and reporting tools using SQL and Tableau, enabling business decision-making and tracking e-commerce trends. Engineered data models and performed statistical analyses in Python to provide actionable insights, aligning with growth initiatives and campaign effectiveness monitoring. Streamlined internal processes by debugging and enhancing tools, ensuring accurate data retrieval from various digital sources including Google and social media.
Managed and optimized semi-automated ETL processes and dashboard creation using SQL and Power BI, supporting data-driven decisions and campaign performance evaluations. Guided junior analysts through technical training and process documentation, reinforcing accurate data analysis and report writing for strategic insights. Enhanced data processing tools with Python and Jupyter Notebook to automate repetitive tasks, improving operational efficiency and facilitating cross-functional collaboration.
Accomplishments include delivering models for decision making to LATAM stakeholders, analyses related to duty not paid behavior, and milestones for campaign impact analyses. Key activities encompassed structuring ETL processes with Data Engineers, building OLAP databases, delivering insights from exploratory data analysis, and developing ML models compatible with economic models. Technologies used included Python, Jupyter Notebook, SQL, Excel, Power BI, Azure ML, and Snowflake.
Education
Certifications and awards
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