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Data Analyst with less than a year in SQL, Python, and 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
B.E. Computer Science graduate (May 2026, CGPA 8.4) with hands-on expertise in SQL, Python, Power BI, and Advanced Excel. Built end-to-end analytics pipelines across projects covering 55K+ records. Published IEEE conference paper (TQCEBT'26, Christ University). Completed Deloitte & Quantium data analytics simulations via Forage. Targeting Data Analyst roles with strong focus on BI, data modeling, ETL pipelines, and enterprise reporting systems.
Tagore Institute of Engineering & Technology, Anna University
B.E. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
YBI Foundation
Data Analytics Intern
April 1, 2026 – May 1, 2026
India
Bank Customer Churn Analysis
January 1, 2026 – June 1, 2026
Built SQL CTE pipelines across 10,000+ bank records — surfaced age group 46-60 (51% churn), Germany (32%), and high-balance segments (25%) as top risk factors. Applied K-Means clustering to segment customers into VIP (307), At-Risk (377), and Passive (316) cohorts for targeted retention prioritization. Automated ETL-fed Power BI and Excel KPI dashboards to eliminate manual reporting steps across demographics.
E-Commerce Sales Analytics - $158M Revenue Dataset
January 1, 2026 – June 1, 2026
Built 2-page Power BI dashboard (55K orders, $158M GMV) with DAX measures, drill-through, and cross-filtering for executive sales reporting. Ran SQL aggregations to rank Electronics ($47M) as top revenue category; flagged Mumbai & Delhi as highest-grossing markets for campaign planning.
Retail Sales Executive Dashboard
January 1, 2026 – June 1, 2026
Built Excel dashboard with Pivot Tables, KPI cards, and slicers tracking $2.26M in retail sales across categories and regions. Identified November as peak month and Phones as top sub-category; recommended Q4 Technology inventory prioritization from trend analysis.
Python Programming
Great Learning
June 1, 2026 – Present
AI-Powered Vision (OpenCV)
Novitech
June 1, 2026 – Present
AI Fundamentals
Marcello Tech
June 1, 2026 – Present
Deloitte Australia Data Analytics Simulation
Forage
January 1, 2026 – Present
Quantium Data Analytics Simulation
Forage
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including churn analysis, e-commerce sales, and retail sales, indicates adaptability and a broad interest in applying data analytics across different business domains. Participation in simulations from Deloitte and Quantium, along with a published conference paper, suggests a drive for continuous learning and contribution, which aligns well with a growth-oriented culture. The target role of Data Analyst aligns perfectly with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application through various projects and simulations. The ability to automate reporting and identify key business drivers suggests a focus on efficiency and impact. However, the limited professional experience (1-month internship) means operational fit in a senior role is yet to be fully proven.