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Data Analyst with less than a year in Financial Reporting & Data Analysis
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Data analyst with practical experience in financial reporting, KPI dashboards, SQL querying, and Python-based EDA across 3 end-to-end projects covering 60,000+ records. Proficient in Power BI, Excel, and AI tools (Claude, Copilot) to accelerate insight delivery. Completed a GenAI-Powered Data Analytics simulation with Tata Group via Forage (May 2026). Seeking to support Amazon FP&A teams in translating commercial data into business decisions that drive profitability and growth.
Dr. Shyama Prasad Mukherjee University
B.Sc. · Computer Application
June 1, 2022 – May 1, 2025
Marwari College
Pre-University (Class XII)
April 1, 2020 – March 1, 2022
Ramanuj High School
Secondary Education (Class X)
March 1, 2020 – March 1, 2020
Telecom Customer Churn Analysis
February 1, 2026 – March 1, 2026
Examined 7,043 customer records across 20 variables to map churn risk; Month-to-Month contracts recorded a 42% churn rate versus 11% for long-term contract holders. Segmented the customer base by tenure, contract type, and payment method - isolating the top 3 high-risk cohorts responsible for 65% of total revenue churn exposure. Produced a structured business report with 5 data-backed retention strategies targeting high-risk segments through onboarding improvements and long-term contract incentives.
View ProjectPizza Sales SQL Analysis
January 1, 2026 – February 1, 2026
Extracted insights from 48,620 transaction records using 15+ advanced SQL techniques — JOINS, CTES, Window Functions, and Subqueries — to surface revenue trends and customer ordering behavior. Pinpointed the top 5 revenue-generating product categories accounting for 80% of total sales, and identified peak order windows (12 PM–1 PM, 5 PM–7 PM) for operational planning. Computed cumulative revenue growth and category-wise revenue share; reported 6 financial insights to inform sales strategy and resource allocation.
View ProjectRetail Sales Performance Dashboard
December 1, 2025 – January 1, 2026
Processed and modeled 9,994 e-commerce sales records across 4 regions and 17 product categories to produce financial performance reports tracking revenue, profit margins, and growth trends. Constructed 8 interactive Power BI visuals and 5 KPI cards covering sales forecasting, category profitability, and regional performance - cutting manual reporting time by 60%. Uncovered 3 loss-making sub-categories and determined that discounts above 40% eroded profit margins by 35%; formulated targeted pricing recommendations to support business decisions.
View ProjectAI Powered Data Analytics
Code with Harry
September 1, 2025 – Present
GenAI Powered Data Analytics Job Simulation
Tata Group via Forage
July 1, 2025 – May 1, 2026
Advanced Python Programming
Coding Seekho
January 1, 2024 – April 1, 2024
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse application of data analysis skills across different domains (telecom, retail sales, food service), indicating adaptability and a broad interest in problem-solving. The inclusion of personal projects and certifications suggests a proactive and self-driven learning attitude, which is a positive cultural indicator. The target role of Data Analyst aligns well with the candidate's demonstrated project experience and stated career objective to support FP&A teams.
Soft Skills & Operational Fit
The candidate's project descriptions highlight abilities in identifying key business metrics (churn rates, profit margins, peak order windows), formulating data-backed recommendations, and improving reporting efficiency. This suggests a results-oriented approach and an understanding of how data analysis supports operational planning and strategic decision-making. The mention of 'cross-functional collaboration' and 'stakeholder reporting' in their skills section, though not explicitly demonstrated in projects, indicates an awareness of the collaborative nature of data roles.