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Data Analyst with less than a year in Power BI, SQL & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst aspiring professional with hands-on experience in Power BI, SQL, Excel, and Python. Skilled in data cleaning, data modeling, dashboard development, KPI tracking, and business intelligence reporting. Built analytics projects across real estate, financial risk, and e-commerce domains to derive actionable business insights.
Pranveer Singh Institute of Technology
Bachelor of Technology · Information Technology
N/A – June 30, 2026
Sardar Patel Academy
XII & X
N/A – May 31, 2022
E-commerce Sales Analytics Dashboard
June 19, 2026 – Present
Developed an interactive sales dashboard to track revenue, orders, profit, customer behavior, and product performance. Analyzed sales trends, regional performance, category-wise revenue, and cancellation metrics using dynamic visualizations. Delivered business insights that helped evaluate sales growth opportunities and operational performance. Designed KPI cards to monitor Total Sales, Profit, Average Order Value (AOV), and Order Volume. Performed customer and product analysis to identify top-performing categories and high-value customers.
View ProjectHousing Market Analysis Dashboard
June 19, 2026 – Present
Developed a 3-page interactive dashboard to analyze housing sales performance, regional market trends, property pricing, and investment metrics. Built KPIs and DAX measures to evaluate sales growth, price-per-square-meter (SQM), offer vs purchase price, and regional performance. Generated actionable insights to support real estate investment and business decision-making. Performed trend analysis on inflation, interest rates, and yield metrics to assess their impact on housing prices.
Loan Default Risk Analysis Dashboard
June 19, 2026 – Present
Designed a 3-page Power BI dashboard to analyze loan defaults, borrower demographics, credit scores, and financial risk indicators. Created DAX measures and KPIs for default rates, loan distribution, income analysis, and year-over-year risk trends. Identified high-risk borrower segments to support credit risk assessment and lending decisions. Built interactive visualizations to monitor loan performance, default patterns, and financial risk metrics. Implemented data modeling and calculated measures to provide insights into borrower behavior and lending outcomes.
Data Analyst Bootcamp – From Basics to Advanced
Udemy
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Google via Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest across different industries (finance, real estate, e-commerce), which suggests adaptability. The pursuit of multiple certifications indicates a proactive learning attitude. However, without information on extracurricular activities or team-based academic projects, it's challenging to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business requirements into analytical solutions and present insights through dashboards. The focus on identifying high-risk segments and evaluating sales growth opportunities suggests a problem-solving mindset. However, without direct work experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.