Vaishnavi Vedantham

Projects & Technology Team Member (Shell), June 2023 – Present

• IT Strategy and Planning: Key contributor to developing and executing IT strategies, working with SOM teams on high-impact projects.
• Invoice Automation: Led innovation in invoice extraction, verification, and validation for 10-12 vendors using Power Apps, AI Builder, and Azure. Reduced 2-3 FTEs and saved 10-15 days of man-hours.
• Knowledge Base Automation: Automated audits of knowledge articles using machine learning and NLP in collaboration with Operations Intelligence and Digital Services teams. Reduced 1 FTE and saved 900 man-hours annually.
• Alternate Fuel Optimization: Led a POC optimizing fuel mix in cement production, reducing CO2 emissions and energy consumption through advanced optimization techniques.

Finance & Data Operations Data Science Team Member (Shell), June 2020 – June 2023

• Data Science and Analytics: Built analytical models that drove data-based decision-making across multiple projects.
• Process Mining: Conducted process mining research to improve business workflows and decision making.
• Analytics Training: Delivered training sessions on analytics tools and techniques to teams of 7-10 members.
• Material Code Mapping: Innovated a process to map material codes using NLP, regex, and machine learning, visualizing insights via Power BI.

Leveraging Analytics for Business Innovation, Large Insurer.

• Data-Driven Insights: Integrated analytics across business domains to foster a culture of informed decision-making and innovation.
• Stakeholder Collaboration: Partnered with clients to translate business requirements into actionable statistical solutions.

Key Projects:

• Risk Management, Underwriting Team: Developed an automated tool in R to identify unusual cashflow projections, increasing accuracy by 25-30% and ensuring compliance with Solvency II.
• Time Series Innovation: Used Dynamic Time Warping to enhance the process of detecting unusual cash flow projections across products.
• eBroker Performance (Southeast Asia): Automated performance reporting using AWS, RShiny, and PowerBI; segmented customers to boost profitability for targeted marketing.
• Subject Matter Expert (SME): Recognized as an SME in R for excellence in data analysis and automation.

Analytics Innovation in Banking.

• Retail Customer Analytics: Developed an Oracle R Enterprise-based application to predict customer attrition, cross-sell banking products, and create SQL-based data pipelines for reporting.
• Performance Analytics (Institutional & Retail): Built a forecasting tool to analyze account-level predictions for bank customers, applying historical data variations for future forecasts.
• Financial Forecasting: Created a solution in R to model the impact of variations on financial instruments, visualized through Business Intelligence Dashboards.