Developed a Causal Inference Model to analyze the impact of each payment provider by region, optimizing payment systems and processor fees using Disney's dataset comprising over 200 billion rows.Built Models: Designed and implemented Difference-in-Differences (Diff-in-Diff) and LSTM Time Series models for payment provider and processor fee predictions.Data Engineering: Cleaned and processed large-scale data pipelines, conducted extensive EDA, and designed database reporting tables for streamlined data access.Dashboard and Revenue Strategy: Created interactive executive dashboards in Tableau to visualize insights and formulated data-driven strategies to maximize revenue.

Spearheaded the automation of audit processes using Microsoft Power Apps and SQL, ensuring data consistency and accuracy across the board. This initiative significantly streamlined operations, resulting in a monthly reduction of 10 hours of manual labor, substantial time savings, and heightened productivity.Led the implementation of real-time database monitoring through the development of a dynamic system using Python and SQL, empowering the team to promptly identify and address irregularities. This proactive approach to data oversight ensured the integrity of critical information within the database.Engineered a 90% reduction in execution time by strategically enhancing existing processes to outperform established macros. This optimization effort, driven by Python-based comparative analysis, not only improved efficiency but also contributed to overall process enhancement.

• Developed a dynamic React-based User Interface for Servicemembers' Civil Relief Act (SCRA), resulting in streamlined case initiation process, diminished instances of fraudulent cases, 50% boost in automation, thereby enhancing overall customer experience. Contributed to cost savings of nearly 1 million dollars through the transition from Pega to an in-house solution• Engineered a Kafka Producer to transmit a consolidated data feed comprising numerous questionnaires to data center, effectively eliminating need for manual consolidation, thereby optimizing reporting processes essential for compliance purposes. Enhancing operational efficiency and resource utilization• Completed security compliance measures for 115 APIs, cataloguing and executing a comprehensive suite of automated tests across all APIs to ensure adherence to security protocols and health management standards• Created a Python Script that efficiently flattened JSON data and seamlessly integrated it with the current table structure, optimizing data processing and visualization within the database Gurugram, India

•Engineered a code crawler, enabling creation of graphical representations using D3 JavaScript library of project directories by web scrapping GitHub repos along with functional graphs for individual nodes within directory framework•This innovation resulted in a remarkable 40% reduction in time required for new team members to grasp existing projects

•Devised a robust and secure QR code solution in Java Springboot that streamlined storage and retrieval of sensitive biographical information required for Visa processing•Employed advanced Symmetric Key encryption to ensure data security and confidentiality