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Data Analyst with less than a year in SQL, Python & Power BI
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Assessing your cultural and operational fit
Data Analyst skilled in Python, SQL, Excel, and Power BI with hands-on experience in data analysis, dashboard development, and business insights generation. Proven ability to analyze large datasets, identify trends, and deliver actionable insights to support data-driven decision-making.
I.P.S. Academy, Indore DAVV University
Bachelor of Commerce · Taxation
N/A – June 30, 2024
Career247
Data Analyst Program
N/A – June 30, 2026
PrepInsta
Data Analytics Trainee
March 1, 2026 – Present
India
Amazon E-Commerce Data Analysis
June 24, 2026 – Present
• Analyzed 20,000+ transactions across 8 relational tables using SQL to evaluate customer behavior, product performance, and sales trends. • Designed a normalized database schema and performed data cleaning to ensure consistency across multiple entities including customers, orders, payments, and inventory. • Developed 19 advanced SQL queries using joins, subqueries, and window functions to solve business problems such as revenue analysis and customer lifetime value (CLTV). • Identified revenue concentration among top customers and evaluated contribution patterns to understand customer dependency. • Evaluated operational performance by analyzing order lifecycle and shipping data, identifying delivery inefficiencies. • Performed product and inventory analysis to identify high-demand items and stock gaps, supporting improved inventory planning.
View ProjectAmerican Express Customer Churn Analysis
June 24, 2026 – Present
• Analyzed 9,927 customer records across 10 features using Python and SQL, identifying a churn rate of 20.4% and uncovering key behavioral and financial drivers of customer attrition. • Built an interactive Power BI dashboard tracking 3 core KPIs (Active Customers, Churn Rate, Customer Segmentation), improving visibility into customer behavior patterns. • Evaluated customer engagement and product usage across multiple segments, identifying low-engagement and single-product customers as high-risk groups for churn. • Highlighted churn risk among high-balance customers, enabling prioritization of high-value segments for retention strategies.
View ProjectRetail Financial Performance Dashboard
June 24, 2026 – Present
• Developed a multi-page Power BI dashboard analyzing 4 years (2014–2017) of retail data, tracking 5 KPIs including Revenue, Profit, Profit Margin, and YoY Growth. • Transformed raw transactional data into structured fact and dimension tables, enabling efficient querying and scalable data modeling. • Performed Pareto (80/20) analysis to evaluate customer revenue concentration, identifying top customer segments contributing significantly to overall revenue. • Evaluated pricing strategies by analyzing discount bands, identifying margin leakage in transactions with 30% discount. • Analyzed regional performance across multiple categories, benchmarking profitability and identifying areas for margin improvement.
View ProjectPython SQL Power BI Certificate
American Express
June 1, 2026 – Present
Data Analysis Using Python
IBM
April 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia - Forage
April 1, 2026 – Present
Data Analytics Trainee
PrepInsta
March 1, 2026 – Present
Data Analytics Job Simulation
Quantium - Forage
January 1, 2026 – Present
Data Visualisation Job Simulation
Tata - Forage
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including customer churn, retail financial performance, and e-commerce analysis, demonstrates a broad interest in applying data analytics across different business domains. The certifications from various organizations (IBM, Deloitte, Tata, Quantium) and the ongoing Data Analyst Program indicate a strong commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The target role of Data Analyst is a direct match for the candidate's stated skills and project experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable business insights, which is crucial for a Data Analyst role. The focus on identifying key drivers, evaluating strategies, and making recommendations suggests good problem-solving and analytical thinking. The project-based experience, even if from simulations or internships, shows a proactive approach to learning and applying skills.