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Data Analyst with less than a year in data analysis and dashboard creation.
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Data Analyst with hands-on experience in end-to-end data analysis, dashboard creation and business insight generation. Skilled in SQL, Python, Excel & Power BI with a focus on solving real-world problems through data. Built 3 end-to-end analytics projects across finance, e-commerce and retail domains, delivering actionable business insights. Strong ability to translate business problems into data-driven solutions, with a focus on clarity, impact and decision-making.
SDJ International College
BACHELOR OF COMPUTER APPLICATION (BCA)
August 1, 2024 – June 30, 2027
SDJ International College
DATA ANALYSIS
August 1, 2024 – June 30, 2025
LOAN DEFAULT RISK ANALYSIS
June 17, 2026 – Present
Analysed 255K+ loan records to identify key drivers of default risk using SQL & Power BI. Identified high-risk borrower segment with upto 24% default rate, driven by low income & high loan exposure. Proposed risk control strategies including loan caps and stricter approval checks for high-risk segments.
COFFEE SHOP SALES ANALYSIS
June 17, 2026 – Present
Analysed transactional sales data to identify revenue drivers and customer purchase patterns. Detected peak sales hours (9-11 AM, 3-5 PM) & high performing product categories. Highlighted revenue concentration among top products and low-demand items.
E-COMMERCE PERFORMANCE ANALYSIS
June 17, 2026 – Present
Analysed revenue ($1.94M), AOV and refund behaviour across products using SQL, Python & Power BI. Identified 14.66% refund rate and revenue leakages from low-performing products. Discovered heavy dependency on a single product contributing majority revenue.
TATA DATA ANALYTICS JOB SIMULATION
TATA
June 1, 2026 – Present
GOOGLE DATA ANALYTICS
June 1, 2026 – Present
IBM PYTHON FOR DATA SCIENCE
IBM
June 1, 2026 – Present
IBM SQL & RDBMS
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across finance, e-commerce, and retail demonstrates adaptability and a broad interest in applying data analysis to different business contexts. The pursuit of multiple certifications from reputable organizations (Google, IBM, TATA) indicates a proactive learning attitude and commitment to skill development, which aligns well with a growth-oriented culture. The focus on 'clarity, impact and decision-making' in their professional summary suggests an outcome-oriented mindset.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, data storytelling, and communication as personal skills. These are crucial for a Data Analyst role, indicating a good operational fit for roles requiring clear articulation of data insights and collaborative problem-solving. The project descriptions also reflect an ability to identify business problems and propose data-driven solutions.