Data Analyst with less than a year in SQL, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), support data-driven decision-making and business insight generation through real-world projects in sales analysis and customer churn analysis. Seeking a Data Analyst role to apply analytical and problem-solving skills in a business environment.
Barkatullah University
MBA · Finance & Business Analytics
August 1, 2025 – June 30, 2027
Barkatullah University
B.Com
August 1, 2022 – June 30, 2025
MGM School
Class XII · Commerce
N/A – May 31, 2022
MGM School
Class X
N/A – May 31, 2020
Telco Customer Churn Analysis (EDA)
June 23, 2026 – Present
Analyzed customer churn behavior for a telecom subscription dataset to identify key churn drivers and high-risk customer segments. Performed data cleaning on a real-world messy dataset by handling missing values, duplicates, inconsistent categories, and outliers using business logic. Conducted univariate, bivariate, and multivariate analysis focusing on churn percentages across tenure, contract type, services, and pricing. Identified that short-tenure customers on monthly contracts and customers with high monthly charges showed significantly higher churn risk. Estimated revenue impact of churn by analyzing lost monthly and total charges from churned customers. Delivered actionable insights and retention recommendations suitable for business stakeholders.
Blinkit Sales Analysis Dashboard
June 23, 2026 – Present
Built an interactive Power BI dashboard to analyze sales performance, order trends, and customer demand for a quick-commerce business. Designed KPI visuals to track total sales, average order value, category performance, and time-based trends. Enabled dynamic analysis using slicers and filters for city, category, and time period. Highlighted high-revenue product categories and peak order time to support inventory and marketing decisions.
Superstore Sales Analysis
June 23, 2026 – Present
Analyzed retail sales data to evaluate profitability, regional performance, and product category trends. Created pivot-based reports and charts to identify loss-making products and high-performing regions. Delivered insights to improve pricing strategy and regional sales focus.
CA Foundation
Institute of Chartered Accountants of India
December 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a practical, results-oriented approach to data analysis, which aligns well with a business environment. The pursuit of an MBA in Finance & Business Analytics indicates a commitment to continuous learning and a desire to deepen business acumen, which is a positive cultural fit indicator. The projects cover diverse areas like telecom churn and e-commerce sales, showing adaptability. However, the lack of professional experience means there's no direct evidence of collaboration or corporate cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with real-world messy datasets, suggesting problem-solving and attention to detail. The focus on delivering actionable insights implies a business-oriented mindset. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity in a professional setting cannot be definitively evaluated.