Apurav Jain

I've analyzed operational and business data at Dot Explorations Pvt Ltd (Anant Vega), using SQL, Excel, and Power BI to identify trends, develop KPI reports, and support operational decision-making.

I built interactive Power BI dashboards, automated reporting workflows, and performed data cleaning, validation, and trend analysis with marketing, academic, and business operations teams.

My projects include an end-to-end personal loan default prediction pipeline for 20,000 records, where Logistic Regression reached 99.7% accuracy and Gradient Boosting was identified as optimal for credit-risk assessment. I also built R-based attrition models for 1,470 employees, achieving 86.8% accuracy.

I've used Tableau to analyze heart-failure survival data and create interactive dashboards that surface mortality patterns and risk factors. I bring Python, R, SQL, Power BI, Tableau, and Excel to data cleaning, statistical analysis, predictive analytics, and clear business reporting.