Apr 2025 – Jul 2025 · 3 mos · Remote

• 🎓 Enrolled in McKinsey's Forward Program (12 weeks program) – building skills in structured problem-solving, impactful communication, digital fluency, and growth mindset through a global learning community.

Oct 2023 – Jul 2025 · 1 yr 9 mos

• Led a revenue recognition and allocation project and identified a $4.8 billion revenue discrepancy due to inefficient data mapping and manual efforts by using SQL.
• Optimized data cleansing, mining, and loading processes by implementing Alteryx workflows to handle heavy files more efficiently than TOAD, resulting in a 50% reduction in processing time and improved data accuracy.
• Designed and automated a data consolidation process with Python and SQL for a financial client, reducing manual data processing time by 150 hours, contributing to faster report submission and focus on strategic initiatives.
• Collaborated with business and senior technical leaders for different client projects and providing data-driven solutions and presented insights in a clear and concise manner by way of visualization; maintained documentation for the process carried.
• Managed multiple projects, mentored team members and ensured timely delivery of high-quality analytical outputs.
• Analyzed complex datasets to identify issues during a financial client’s conversion process, examined client SQL code to understand impacted populations and detect fraud, uncovering detailed insights and contributed to client decision making.
• Implemented data governance best practices and validations to maintain data accuracy and consistency across all projects.
• Built complex data cubes using SQL for different Geographic regions and played a key role in reconciling customer master data to ensure Quality control and data integrity.
• Led due diligence projects by owning IT applications, projects, and organizational analysis by performing Qualitative and Quantitative data analysis and proactively created management summaries and presentations of insights.
• Conducted SQL learning sessions for team of 30, covering essential topics such as query optimization, data manipulation and best practices followed within team.

Jul 2022 – Jul 2023 · 1 yr · Chicago, Illinois, United States

• Implemented predictive models using Tableau after conducting exploratory and scenario analyses for resulting in 60% reduction in operational issues relating to safety concerns by identifying trends.
• Led the design and deployment of high-volume ETL pipelines with Azure DevOps integration, enabling seamless data flow and timely KPI reporting, which contributed to a 15% increase in data processing efficiency.
• Conducted in-depth data analysis on large data sets using Python, extracting insights that drove a 15% increase in revenue by identifying and acting on high-impact business objectives.
• Collaborated with internal teams to bring new solutions to market, including predictive AI solutions with Power BI, future data platforms, and cloud sustainability.

Jan 2022 – May 2022 · 4 mos · United States

• Engineered a Python program to scrape and analyze data from novels, enhancing the accuracy of extracting relevant
• information such as gender, the relationship between characters, and the location, and improving the accuracy by 70%.
• Built interactive Power BI dashboards to analyze data patterns in novels, resulting in a 25% reduction in the time taken to
• identify key themes and insights.
• Implemented a data governance framework and performing validation Testing on the extracted data from novels.

Aug 2021 – May 2022 · 9 mos

May 2019 – Dec 2020 · 1 yr 7 mos · Pune, Maharashtra, India

• Established machine learning (ML) models in Python to automate Entities reports and reduce manual intervention by 50%.
• Led a full redesign of the web scraping program in Python, and assisted firm in securities/asset classes automation and
• enrich internal data, resulting in a 70% increase in research efficiency.
• Analyzed risk profitability reporting on a daily and monthly basis for varied business groups portfolio to ensure
• maintenance and monitoring on the status of risk reporting practices.
• Managed reporting needs as per business priorities to track reporting performance on immediate basis for management.

May 2017 – May 2019 · 2 yrs

• Led Liquidity Risk Reporting model and trained others to identify key liquidity risk factors and design a reporting BI
• dashboard to track and analyze these metrics, leading to a 15% reduction in liquidity risk as per regulatory requirements.
• Acquired data from BNY Mellon Risk Databases using SQL and performed quantitative risk analysis of asset classes using
• Python; resulted in a 15% reduction in potential losses and enhanced risk management strategies.
• Implemented and monitored interactive Tableau reporting for quantitative analysis of VaR and portfolio performance;
• leveraged insights to strategize investment allocation, resulting in a 10% increase in ROI and a $5.5 Mn reduction in risk

Dec 2016 – Apr 2017 · 4 mos · Bengaluru, Karnataka, India

Jul 2016 – Dec 2016 · 5 mos

Oct 2015 – Jun 2016 · 8 mos