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Data Analyst with less than a year in Fintech & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical Data Analyst with hands-on fintech experience in transaction analysis, partner payout investigation, and data discrepancy resolution. Proficient in SQL, Python (Pandas/NumPy), Excel, and Power BI for analyzing large datasets, automating data validation, and building business dashboards. Experienced in data cleaning, KPI tracking, and identifying transaction or system issues through structured analysis to support product and business decision-making.
Jiwaji University, Gwalior
Bachelor of Arts + Bachelor of Education
August 1, 2021 – June 30, 2025
Wealthy
Product Analyst Intern
September 1, 2025 – Present
Bengaluru, Karnataka, India
Retail Sales Dashboard
July 1, 2025 – July 1, 2025
Designed an interactive Power BI dashboard to track sales, profit, and average order value across regions and categories. Created DAX measures for Total Sales, Profit %, Month-over-Month growth, and category contribution. Enabled real-time KPI monitoring and reduced dependency on manual performance reporting.
View ProjectPhonePe Payments Case Study
February 1, 2025 – February 1, 2025
Cleaned and analyzed large-scale state and district-level datasets covering millions of rows. Derived KPIs including Average Transaction Value (ATV), transactions per user, and engagement trends. Built analytical reports identifying high-growth states and underpenetrated districts to support market expansion insights.
View ProjectE-Commerce Case Study
November 1, 2024 – November 1, 2024
Analyzed 100k+ transaction records to study customer behavior, revenue trends, and product performance. Built complex SQL queries to calculate repeat buyer ratio, monthly revenue growth, and category-wise revenue contribution. Identified top-performing categories contributing to 60% of total revenue and proposed data-driven optimization strategies.
View ProjectData Science and Analytics
Coding Ninjas
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, retail sales, and payments, indicating adaptability and a broad interest in applying data analysis across different business contexts. The internship at Wealthy, a fintech company, shows an alignment with roles requiring detailed financial data analysis. The combination of academic projects and an internship suggests a proactive approach to skill development and practical application, which is a positive indicator for cultural fit in a data-driven team.
Soft Skills & Operational Fit
The candidate's profile highlights problem-solving, analytical thinking, communication, and attention to detail as soft skills. These are well-aligned with the demands of a Data Analyst role, which requires meticulous data investigation and clear communication of findings. The internship experience in a fintech company suggests an ability to work in a fast-paced, data-intensive environment.