Lead Analyst | Data Science | Business Intelligence | Looker Studio | Tableau | Power BI

I’m a Lead Analyst (Data Science & BI) who turns complex, multi-source data into clean, decision-ready insights for founders, marketers, product teams, and operations. Over 7+ years, I’ve delivered end-to-end analytics from data modeling and automation to executive dashboards and clear narratives that drive action. My toolkit spans Looker Studio, Power BI, Tableau, BigQuery, SQL, Python, AWS, Excel, and modern data platforms, and I’m comfortable partnering with both technical and non-technical stakeholders to ship work that gets used.

I led a customer-retention initiative for OTT client, consolidating engagement, transaction, and content-interaction data from BigQuery and cleaning it in Python to remove duplicates, nulls, and inconsistencies. I engineered behavioural and financial features (session frequency, watch time, content preferences, last active date, payment history, subscription tier) and built a renewal-propensity model using Logistic Regression, Random Forest, and XGBoost. I visualized segments and renewal likelihood with Seaborn/Excel dashboards, partnered with marketing/CS to deploy personalized retention campaigns (loyalty offers, content recommendations, timely nudges), and set up scheduled retraining + performance tracking to keep the model fresh. Result: meaningful churn reduction, higher customer loyalty/LTV, and a ~10% lift in renewal rates from targeted, data-driven engagement.

If you need someone who can own your analytics loop from clean data to trustworthy dashboards to action while collaborating smoothly across marketing, product, and engineering, I’d love to help.