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Data Analyst with 1+ years in SQL, Python, and Power BI
Results-driven Data Analyst with hands-on internship experience at ACC and ISparx Innovations, specializing in translating raw data into actionable business insights. Proficient in SQL, Python, Advanced Excel, and Power BI to clean datasets, build automated dashboards, and conduct deep exploratory data analysis. Proven ability to deliver data-driven solutions, including end-to-end financial risk analysis and investment behavior modeling. Formally trained with an MBA in IT and Finance, combining strong business acumen with technical analytical skills.
AKTU UNIVERSITY
MBA · Information Technology, Finance
August 1, 2025 – June 30, 2025
MJPRU UNIVERSITY
BBA · Business Administration
August 1, 2022 – June 30, 2022
ACC
DataAnalystIntern
March 1, 2026 – Present
India
Cognifyz
BusinessAnalystInternship
November 1, 2025 – December 1, 2025
India
IsparxInnovation
DataAnalystIntern
September 1, 2025 – March 1, 2026
India
Financial BankingRiskAnalysis
June 1, 2026 – Present
Developed an end-to-end bankingriskanalysis projectusing Excel, SQL, Python, and PowerBI to evaluate loan risk and customer behavior. Create banking KPIs (Total Loan, Deposit, Credit Card Exposure, Fees, and Engagement) using DAX to measure financial performance and customer value. Built interactive Power BI dashboards (Loan, Deposit, Summary) with slicers and drill-downs. Examined $139.9M loans, $111.49M deposits, and $5.17M fees for data-driven banking insights.
View ProjectInvestmentBehaviorAnalysis
November 1, 2025 – December 1, 2025
Investigated investment dataset of 40 participants using Python (Pandas), identifying gender split (62.5% male, 37.5% female) and average investor age (27.8 years) through EDA. Computed descriptive statistics for 7 investment avenues, revealing highest preference for Gold (mean 5.97) and Debentures (mean 5.75) as low-risk choices. Built 10+ visualizations and a correlation heatmap to uncover relationships between age, investment duration, and expected returns, explaining key investor behavior patterns.
View ProjectFundamentals of Analytics on AWS – by AWS Skill Builder Part 1 - Part 2
AWS Skill Builder
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Advanced Diploma in Computer Applications
Dzine Solutions
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from financial risk analysis to investment behavior, indicates a broad interest in applying data analysis across different domains. Their academic background (MBA in IT and Finance) aligns well with the target role of Data Analyst, especially in finance-related sectors. The certifications, including Google Data Analytics Professional Certificate and AWS analytics fundamentals, show a proactive approach to skill development and a desire to stay current with industry tools, which is a positive cultural fit for continuous learning environments.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and process simplification through their project descriptions. Their experience in automating reporting tasks and summarizing complex datasets for product managers indicates an operational fit for roles requiring efficiency and clear communication of insights. The mention of Jira in skills suggests familiarity with project management tools.