Gouthamen S

I’m a Data Analyst with 2 years of experience turning large, raw FMCG datasets into actionable market insights for global clients. I focus on converting messy inputs into structured, decision-ready analysis that teams can trust.

I’m skilled in SQL, Python, and Power BI, with hands-on work across exploratory data analysis, data cleaning & preprocessing, and clear visualization. I’m known for delivering accurate, high-quality analysis under tight deadlines and communicating effectively with stakeholders.

At NielsenIQ as a Data Operations Analyst, I processed hundreds of raw FMCG market records weekly into structured datasets that helped category teams move faster on market and consumer trends. I also supported a pilot team implementing ML and GenAI model approaches—annotating source items and validating model predictions, which cut manual processing time by 50%, while partnering cross-functionally to maintain data quality standards.

My projects reflect that same end-to-end mindset—from database insight work to model-ready preparation. I analyzed a film rental database using MySQL queries, and I performed exploratory data analysis on the Google Play Store dataset in Python/Jupyter to create a rating category feature and visualize trends with Seaborn.