Jayavardhan Kalasamudram

Experience

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  Genpact

  Dec 2019 - Nov 2021

  Data Analyst

  Developed SQL queries, reducing decision-making time by 20%, and automated data cleanup tasks with Python,leading to a 25% decrease in errors.•Created impactful Tableau visualizations, improving data-driven decisions by 30%, and executed targeted dataextraction, ensuring a 15% increase in data accuracy.•Played a key role in data cleansing and structuring, contributing to a 20% improvement in project efficiency, andcollaborated on financial modeling tasks, boosting project success rates by 15%.•Managed and delivered multiple projects on time, exceeding quality standards, and demonstrated adaptabilitywith Microsoft Office, Power BI, and Smart Sheets, enhancing reporting accuracy by 25%.•Engineered ETL processes with SQL and Python, automating business intelligence data flows, resulting in a 20%reduction in manual data handling.•Led inventory optimization efforts, achieving a 15% cost reduction, and established Operations Metrics,contributing to a 20% improvement in overall operational performance.•Cultivated relationships with financial and operational personnel, garnering support for Operations initiatives,and fostering a collaborative work environment, enhancing cross-functional teamwork and efficiency. Show less

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  BNY

  Jan 2023 - now

  Data Analyst

  •Managed and transformed vast financial datasets using Python and SQL, implementing data wranglingtechniques to ensure integrity and accuracy, achieving a significant 20% reduction in errors.•Built Python financial models with Pandas and NumPy, achieving a 15% portfolio boost through regression andtime series analysis, guiding strategic investments.•Developed interactive dashboards and reports with Tableau, Power BI, and advanced MS Excel, employing datavisualization best practices, enhancing report generation efficiency by 25% for streamlined data-driven insights.•Implemented Python-based risk assessments, leveraging machine learning for predictive analysis, resulting in a10% reduction in financial risk exposure for enhanced risk management.•Responded to varied departmental data requests proactively, utilizing Python, SQL, and MS Excel. Applied datamining and trend analysis techniques, providing crucial support for strategic initiatives and informed decisionmaking. Show less