India
GenAI-Applied Data & Business Analyst with hands-on experience in transforming raw data into decision-ready insights through analytics, visualization, and structured problem-solving. I work across Advanced Excel, SQL, Power BI, and Python to clean, analyze, and visualize data that supports business and stakeholder decisions. My focus is on building clear, actionable dashboards and analytical outputs rather than just reports. I use GenAI and prompt engineering as a support layer to accelerate exploratory data analysis, hypothesis validation, documentation, and insight communication—while keeping analytical thinking and business context at the core. I also leverage multiple AI tools (ChatGPT, Google’s Gemini models, NotebookLM, and Opal) to automate repetitive workflows, streamline analysis, and significantly reduce turnaround time by integrating them directly into analytics and reporting processes. I’ve applied these skills through industry-aligned experiences and simulations with organizations such as Infosys, Deloitte, and through the McKinsey Forward ’25 program. Additionally, I achieved Legend Tier in the Google Arcade Program 2025 (Google Cloud), reflecting hands-on exposure to cloud-based learning and practical problem-solving. Currently seeking opportunities in data analytics, business analytics, and BI-focused roles where analytics, visualization, and GenAI-supported decision-making create measurable impact.
Completed a virtual job simulation with Deloitte via Forage, where I worked on real-world business scenarios involving data analytics and forensic technology. The program involved cleaning and preparing raw datasets, performing exploratory data analysis (EDA) to uncover trends and anomalies, applying forensic techniques for risk assessment, and creating business intelligence reports and dashboards. This experience strengthened my skills in analytical thinking, data visualization, and problem-solving—offering practical insights into the role of a Data Analyst in a corporate environment.
During my Business Analyst Internship at Kulture Hire, I worked on analyzing Gen Z’s career aspirations by conducting surveys and creating dashboards in Excel, which streamlined the presentation of insights and reduced manual reporting efforts by 40%. I cleaned and standardized raw data, improving data accuracy by 30%, and utilized MySQL to extract actionable insights that helped identify career motivations and work preferences. Additionally, I prepared a detailed project completion report and a final presentation deck, effectively summarizing findings and recommendations, enhancing project delivery efficiency by 25%.