Moinraza Khan

Built and deployed ML models for churn, retention, and cross-sell using Python, SQL, and XGBoost, improving KPIs by 20%+. Created a disbursement prediction model (88% accuracy), reducing drop-off by 20%. Improved lead conversions by 25% through lookalike modeling. Delivered actionable insights via Power BI/Tableau and optimized legacy pipelines for faster retraining and deployment.

Designed and deployed ETL pipelines using PySpark, Hive, Hadoop, and Teradata for Deposits & Loan data. Built workflows in Autosys, optimized batch jobs by 30%, and managed UAT/DEV cycles. Collaborated across Agile teams, authored design docs, and ensured successful production cutovers. Used Git for CI/CD and conducted impact analysis on DMX-H and data layer changes.

Developed and optimized complex SQL queries across Oracle, SQL Server, and PostgreSQL for reporting and analytics. Built dashboards using Tableau and SSRS, improved query performance by 40%, and ensured data quality through validation checks. Collaborated on ETL pipelines and data models, resolved SQL errors, and documented report logic per data governance standards in Agile teams.

Collected, cleaned, and transformed data for analysis. Used SQL and Excel for statistical analysis to identify trends and KPIs. Supported dashboard development in Power BI and Tableau. Collaborated on real-world projects focused on customer behavior and operations. Documented data workflows and reporting logic to enhance transparency and reusability.