Mehul Prajapati

I’m a Data Analyst and B.Tech Computer Science student with a Professional Certificate in Google Data Analytics, focused on turning complex datasets into actionable insights. I enjoy building predictive systems that stakeholders can trust, then communicating results clearly through reporting and dashboards.

In my projects, I’ve delivered high-accuracy models such as time-series forecasting (R > 0.90) using Ridge Regression and churn classification with XGBoost (80%+ accuracy). I build strong feature pipelines—like lag features, rolling averages, and EDA-driven churn driver discovery—while validating performance with practical model evaluation.

I also specialize in risk profiling and anomaly detection, using statistical techniques like Z-score and IQR to identify financial risks and revenue leakage patterns. To support data-driven decision-making, I process multi-source data with SQL and transform it into dashboards that make monitoring and actions easier.

Through virtual experience, I’ve worked on GenAI-powered analytics and executive-ready visualizations at Tata iQ and Tata Consultancy Services. I bring a hands-on, analytics-first mindset—cleaning data carefully, engineering features thoughtfully, and using Python, SQL, and Power BI to deliver outcomes that stand up to real-world constraints.