Shivani Guleria

I've built a bank customer churn prediction model in Python and Scikit-Learn, achieving 79% accuracy while translating model outputs into business recommendations for retention strategy.

I also developed a crop prediction engine using Random Forest and XGBoost, comparing ensemble models through cross-validation, feature importance analysis, and hyperparameter tuning.

For business reporting, I designed interactive Power BI, Tableau, and Excel dashboards with DAX measures, slicers, drill-through filters, KPI tracking, and sales trend analysis.

My background combines Python and SQL instruction, student mentorship, financial administration in Tally ERP9, GST filing, payroll, bank reconciliation, and customer support. I'm continuing to deepen my AI and machine learning practice while looking to apply data-driven thinking in a growth-oriented organisation.