In this project, I took on the challenge of transforming raw data into clear, decision-ready visuals tailored for senior executives at TCS. I crafted strategic questions to guide a simulated client meeting and focused on creating visuals that not only told a story but also supported high-level business decisions. This experience strengthened my ability to think analytically, communicate insights effectively, and present data in a way that drives real impact. 

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As part of this Deloitte job simulation, I explored how data analytics supports forensic investigations and business decision-making. I built an interactive dashboard using Tableau to present key findings, and used Excel to classify and analyze data, uncovering insights that could inform real-world outcomes. This experience sharpened my ability to work with investigative data, structure analysis effectively, and communicate results in a clear, impactful way.

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In this project, I stepped into the role of a data analyst for Tata iQ’s Financial Services team, where I combined AI tools and data strategy to tackle real business challenges. I conducted exploratory data analysis using GenAI to assess data quality, uncover risk indicators, and lay the groundwork for predictive modeling. I then proposed a no-code predictive framework to evaluate customer delinquency risk, using GenAI to structure model logic and evaluation criteria.

To close the loop, I designed an AI-driven collections strategy that integrates automation, agentic AI, ethical principles, and regulatory alignment, while ensuring scalability. This project sharpened my ability to blend analytics, AI, and strategy in a way that supports informed, responsible decision-making.
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As part of a data analysis project for QuickSwap, I conducted a thorough investigation into QuickSwap's transaction activity on the Polygon PoS network, which recently reached a significant milestone of 5 billion total transactions. My task was to assess QuickSwap’s contribution to this achievement and provide a detailed breakdown of transactions across different contract addresses on the network.

For a detailed report on this project, click here