DEEPSHIKHA Deepshikha

• Automated macroeconomic variable (MEV) processing using Python and Jupyter, reducing execution time by over 75% and improving data consistency.
• Integrated F3 MEV Downloader and internal tools, streamlining extraction and delivery of forecast-M and forecast-Q datasets for enhanced operational efficiency.
• Built sensitivity and stress-testing models across HPI, UER, and rate scenarios to strengthen regulatory model robustness.
• Led end-to-end CECL, CCAR, Risk Appetite, Budget, and Outlook forecasting for mortgage and consumer credit portfolios.
• Conducted variance analysis on NCO and allowance forecasts, enabling informed decision-making for CFO and CRO during regulatory reviews.
• Collaborated with risk, finance, and modeling teams to validate assumptions and resolve data discrepancies, ensuring accuracy in reporting.
• Designed and administered SOX controls for access management, change governance, and audit documentation.
• Developed executive dashboards and leadership decks, integrating Moody’s and internal datasets for strategic decision-making.

Fortune 100 BFSI Client (Dashboard Analytics).

• Delivered analytics solutions for Fortune 100 BFSI clients, supporting product effectiveness and advisory platforms.
• Built and enhanced enterprise Tableau dashboards used by over 500 stakeholders for performance monitoring.
• Translated complex, analytical insights into executive-ready narratives for business leaders.
• Improved reporting reliability and turnaround time through workflow automation and process redesign.

Top 3 Global Petrochemical Companies — Supply Chain Analytics

Olefins & Feedstock Grid Optimization ($900K Project)

• Co-led a five-member data engineering team to build automated ETL pipelines for real-time sensor, inventory, and financial data.
• Delivered optimization models that improved business plan compliance by approximately 8% and generated approximately $10 million in monthly revenue.
• Developed SQL and Python pipelines for automated reporting, feature engineering, and data validation.

Value-Based Optimization and Market Price Scheduling ($4M Project)

• Designed and secured an RFP for value-based optimization and production scheduling solutions.
• Established long-term client partnership through successful digital transformation delivery.

Sales Price and Demand Forecasting ($2M Project)

• Built SQL-based ETL pipelines and operationalized forecasting models in RapidMiner.
• Improved demand forecast accuracy by 15%, generating $1.7M in annual cost savings.

• Led end-to-end portfolio management and analytics for multi-sector clients.
• Supported strategic planning by conducting trend analysis, forecasting, and financial modeling to inform decision-making.
• Developed Tableau dashboards that integrated revenue, pricing, and volume metrics to enhance data visualization and reporting.

• Delivered operational reports and performance analytics to optimize power generation unit operations.
• Standardized workflows to enhance data accuracy and reduce reporting turnaround.

• Provided technical services and analytics to enhance plant operations and ensure compliance reporting.
• Created management reports to monitor efficiency and optimize resource allocation.