Prateek Shrivastav

Spearheaded the creation of a scalable data infrastructure using Power BI and SQL, delivering real-time project insights that accelerated decision-making and increased operational efficiency by 30%. Engineered and deployed an automated ETL pipeline via Power Automate, cutting manual reporting time by 50% and enhancing data accuracy. Designed and developed a Power Apps custom application with an optimized database structure, streamlining cross-team collaboration between on-site and offshore units and reducing project delays by 20%. Collaborated with stakeholders to analyze and optimize cost margins, improving project profitability by 40% through data-driven negotiations and comprehensive cost analysis.

Developed a dynamic receivables dashboard with grid-based visualizations, improving financial data interpretation and accelerating decision-making by 25%. Integrated machine learning models predicting invoice payment dates with 95% accuracy, enabling more reliable cash flow forecasting and reducing overdue payments by 15%.
Led the end-to-end deployment of a full-stack application using ReactJS, JDBC, Java, and JSP, delivering robust
business solutions aligned with operational requirements.