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Data Analyst with less than a year in Data Analytics & Visualization
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Assessing your cultural and operational fit
Highly motivated Junior Data Analyst with 8 months of internship experience. Proficient in SQL, Python, Excel, Power BI, and Tableau for data analysis, cleaning, and visualization. Successfully built dashboards, extracted key insights, and supported strategic decision-making across various projects, including fraud detection and market expansion. Eager to leverage analytical skills in a dynamic data-driven environment.
MVJ College Of Engineering
B.E · Electronics and Communication
August 1, 2022 – June 30, 2026
Rooman Technologies
Data Analyst Intern
February 1, 2026 – May 31, 2026
India
Cognifyz Technologies
Data Analyst Intern
October 1, 2025 – November 30, 2025
India
Risk and Fraud Detection Dashboard
June 18, 2026 – Present
Developed an interactive Credit Card Fraud Risk Analysis Dashboard in Power BI to analyze 1,000+ transactions and identify fraud trends, risk levels, and suspicious activities. Created DAX-based KPIs including Fraud Rate, Fraud Count, Total Transactions, Fraudulent Transaction Amount, and Average Fraud Score to support business reporting. Utilized Power Query and data modeling to transform raw transaction data into a fully interactive dashboard supporting data-driven fraud monitoring decisions. Identified the top 3 high-risk states and 2 card types with disproportionately high fraud rates, providing actionable segmentation that could reduce fraud investigation scope by 40%.
SQL-Driven Market Expansion Strategy for an Online Coffee Brand
June 18, 2026 – Present
Conducted end-to-end SQL analysis using JOINS, CTEs, and window functions across 200+ customer records to evaluate revenue, consumer demand, and rent efficiency across 10+ Indian cities. Recommended Pune, Delhi, and Jaipur as top 3 expansion markets by analyzing revenue-to-rent ratios and projecting access to 200+ high-value customers per location, enabling data-backed expansion decisions.
SQL for Data Analysis
LinkedIn Learning
June 1, 2026 – Present
IBM Cloud Essentials
IBM
June 1, 2026 – Present
Programming in Python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships demonstrate a proactive approach to learning and applying data analysis skills across different business scenarios (fraud detection, market expansion, business performance tracking). The pursuit of certifications in SQL and Python further indicates a commitment to skill development. The diversity of projects and tools used (SQL, Python, Power BI, Tableau, Excel) suggests adaptability and a broad interest in data analytics, which aligns well with a dynamic work environment. However, without psychometric test results, a deeper assessment of cultural fit is limited.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences indicate a results-oriented approach, focusing on delivering actionable insights and improving reporting efficiency. The ability to work on end-to-end projects from data integration to dashboard creation suggests good operational fit for a data analyst role. However, direct evidence of collaboration, stress handling, or specific work attitudes is not explicitly provided in the given data.