Data Analyst with less than a year in SQL, Power BI, and Python.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in SQL, Excel, Power BI, and Python (Pandas). Skilled in building interactive dashboards, KPI reports, and data models that turn raw data into business decisions. Experienced in data cleaning, ETL workflows, and exploratory data analysis (EDA) on real-world datasets. Strong communicator who translates complex findings into clear, actionable insights for stakeholders.
Chaudhary Charan Singh University, Meerut
Bachelor of Science (B.Sc)
N/A – Present
Maa Shakumbhari University, Saharanpur
Bachelor of Education (B.Ed)
N/A – Present
IIM Skills, New Delhi
Data Analytics Master Course · Data Analysis
N/A – Present
IIM Skills
Data Analyst Intern
June 1, 2025 – August 31, 2025
New Delhi, Delhi, India
Indian General Election 2024 - Data Analysis
June 16, 2026 – Present
Analyzed 543 constituency-level datasets to evaluate vote share distribution and party-wise performance, identifying top-10 parties by seat count and margin of victory. Wrote complex SQL queries (JOINS, GROUP BY, Subqueries, Window Functions) to rank parties by vote share and compute constituency-level swing across 2019 vs. 2024 results. Built an interactive Power BI dashboard with KPI cards and state-level drill-down covering alliance performance and candidate-level results across 500+ data points.
Customer Shopping Behavior - End-to-End Data Analysis
June 16, 2026 – Present
Analyzed 3,900 customer records across 4 product categories using Python (Pandas) – performed EDA, feature engineering (age groups, purchase frequency), and cleaned 37 missing review ratings via category-level median imputation. Wrote 10+ advanced SQL queries (CTES, Window Functions, ROW_NUMBER with PARTITION BY, subqueries) to answer key business questions: revenue by gender, top-5 rated products, customer segmentation (New/Returning/Loyal), and subscription vs. spend analysis. Designed a Power BI dashboard with KPI cards and slicers for drill-down reporting across age groups, seasons, and shipping types – enabling self-serve exploration across 3,900 data points.
Blinkit Grocery Sales Dashboard
June 16, 2026 – Present
Processed 8,500+ transaction records to analyze $1.2M in sales across categories; computed AOV ($141) and category-wise revenue contribution using Pivot Tables. Identified top segments contributing 40%+ of total revenue across outlet size, item type, and fat content – directly informing pricing and inventory recommendations. Built a dynamic dashboard with 5+ Pivot Tables and interconnected slicers, cutting ad-hoc analysis time from hours to minutes for business stakeholders.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (elections, customer behavior, grocery sales), indicating adaptability and a broad interest in data challenges. The personal projects show initiative and a proactive approach to learning and applying skills. The internship at IIM Skills, combined with the Data Analytics Master Course, suggests a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's professional summary highlights strong communication skills, which are crucial for a Data Analyst role to effectively convey insights. Project descriptions indicate an ability to work on end-to-end data analysis, suggesting good problem-solving and project management skills. The focus on real-world datasets and business questions implies a practical, results-oriented approach.