About
B.Com (Hons) student with hands-on project experience in cleaning, analyzing, and visualizing datasets to surface actionable insights. Proficient in Excel, SQL, Python, and Power BI, with a strong foundation in statistics and a focus on decision-ready analysis.
Education
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Bachelor of Commerce (Hons)School of Open LearningCommerce · 2027
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Higher Secondary (Class XII)Preet Public SchoolCommerce · 2024
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Senior Secondary (Class X)Preet Public School2022
Skills
Projects
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Spotify Exploratory Data AnalysisPython, Pandas, Matplotlib, Seaborn
Analyzed a large streaming dataset to uncover patterns in song popularity, genre trends, and artist performance over time. Cleaned and preprocessed raw data, built visualizations, and summarized key findings on music consumption behavior.
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Loan Approval AnalysisPython, Pandas, Matplotlib, Seaborn
Explored applicant financial and demographic data to identify factors influencing loan approval outcomes. Performed EDA, visualized approval rates, and proposed data-driven recommendations to minimize financial risk.
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Vehicle Insurance EDA AnalysisPython, Pandas, Matplotlib, Seaborn
Conducted exploratory analysis of policyholder data to uncover patterns linked to claim likelihood. Investigated relationships between vehicle age, driver demographics, and premium or claim behavior.
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Blinkit Sales Performance DashboardPower BI
Built an interactive dashboard analyzing 5,000+ items and $1.2M+ in total sales across Blinkit's outlet network. Designed KPI cards, breakdowns, filters, and insights on sales drivers.
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Spotify Music Analytics DashboardPower BI
Developed a multi-page Power BI dashboard to analyze song and artist popularity trends. Created KPI visuals and breakdowns by album type, release year, and content type.
Courses & certifications
- GenAI Powered Data Analytics — Job Simulation · Forage