Rinkesh User

I'm a Data Analyst with 1+ years of experience turning raw, messy data into decision-ready insights — with a focus on product analytics, experimentation, and building data pipelines that actually scale.

In my current role, I design Power BI dashboards and SQL data models that cut manual reporting time by 40%, giving teams real-time visibility into KPIs and conversion funnels instead of waiting on weekly exports. I lean on automation wherever I can — Power Automate for recurring workflows, VBA for ad hoc reporting needs, and AI tools like Copilot and ChatGPT to speed up SQL/Python scripting, debugging, and documentation, so more of my time goes into analysis and less into repetitive setup work.

I especially enjoy the "why" behind the numbers — running root-cause analysis that helped cut issue resolution time by 15%, and using hypothesis testing and cohort analysis to validate what's really driving user behavior. I've also built a churn prediction model (Random Forest, deployed via Streamlit) to bring predictive analytics alongside the descriptive dashboards I build day to day.

At the core, I care about clean data models, clear storytelling, and analytics that move teams from "here's what happened" to "here's what to do next."