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Transforming raw data into powerful business insights through analytics, AI, and visualization.
I am a results-driven Data Analyst with strong expertise in Power BI, SQL, Excel, and Python, specializing in transforming raw and unstructured data into meaningful insights and interactive dashboards.
Currently pursuing my B.Tech in Computer Science & Engineering at Invertis University (2023–2027), I focus on solving real-world business problems through data-driven decision-making. My analytical approach blends statistical thinking with practical business understanding to deliver accurate, actionable outcomes.
I have hands-on experience in data cleaning, exploratory data analysis, KPI tracking, dashboard automation, and performance reporting, ensuring stakeholders can clearly understand trends, risks, and opportunities. I continuously upskill in analytics and AI to stay aligned with industry standards and emerging technologies.
Computer Science & Engineering
Aug 2023 – Jun 2027
Jul 2021 – Mar 2023
Apr 2019 – Aug 2021
Advanced Power BI dashboard analyzing sales, consumer behavior, and regional trends.
End-to-end US retail data solution with YoY trends and geospatial analysis.
Extensive EDA on 1,000 retail transactions using Python, Matplotlib, and Seaborn.
Modern, user-friendly calculator with clean design for efficient arithmetic operations.
Complex SQL query analysis on 3 tables: Books, Customers, Orders.
Power BI dashboard analyzing trends in enrollment, biometric, and demographic updates.
Internship • Remote • 10 weeks
Oct 2025 – Dec 2025
Completed a 10-week Data Science Master Virtual Internship under the AICTE–EduSkills initiative, supported by Altair. Worked on real-world datasets using Python, Exploratory Data Analysis (EDA), machine learning, and data visualization to gain practical exposure to industry-level data science workflows.
Internship • On-site • 10 weeks
Apr 2025 – Jun 2025
Completed a 10-week AI/ML internship with Google for Developers, focused on applying Artificial Intelligence and Machine Learning concepts to real-world use cases. Collaborated with cross-functional teams to design and improve machine learning models, while gaining practical exposure to data analysis, algorithm optimization, and model performance enhancement. Contributed to projects aimed at improving user engagement and efficiency in developer-focused tools.
Industry-recognized credentials validating hands-on expertise in Data Analytics, AI, Business Intelligence, and Software Development
Ready to turn data into decision? Let's talk.