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Data Analyst with less than a year in SQL, Python, Power BI, and MySQL.
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 skilled in SQL, Python (Pandas, NumPy, Matplotlib, Seaborn),Power BI, Excel, and MySQL. Experienced in data cleaning, EDA, dashboard development, and transforming data into actionable business insights through analytics projects.
Delhi University
B.A · Economics
N/A – June 30, 2026
Zepto Product Data Analysis using SQL
March 1, 2026 – April 1, 2026
Extracted, cleaned, and analyzed grocery product data using MySQL queries and data manipulation techniques. Evaluated grocery product data using SQL queries, joins, filtering, and aggregations. Generated business insights on product distribution and inventory trends.
Paytm Payments & Insurance Analytics Dashboard
February 1, 2026 – March 1, 2026
Collected, cleaned, and structured transaction data containing 150K+ payment records for business analysis. Created KPI cards, trend analysis, and failure monitoring dashboards. Identified server issues and insufficient balance as major failure drivers, helping uncover opportunities to improve operational visibility.
Customer Churn Risk Analysis & Retention Insights (EDA)
January 1, 2026 – February 1, 2026
Processed and investigated telecom customer data using Pandas, NumPy, Matplotlib, and Seaborn to identify churn-related patterns. Performed exploratory data analysis on 7,043 telecom customer records using Python. Discovered significantly higher churn among month-to-month contract users and customers with high monthly charges, providing retention-focused recommendations.
E-Commerce Customer Insights Dashboard
November 1, 2025 – January 1, 2026
Cleaned and assessed customer data using Python and MySQL; developed an interactive Power BI dashboard. Built an interactive Power BI dashboard by analyzing customer demographics, purchasing behavior, revenue contribution, and product performance. Identified Clothing as the highest revenue-generating category and uncovered strong engagement among young adult customers, enabling data-driven business insights.
Data Analytics Virtual Experience Program
Deloitte Australia (Forage)
July 1, 2025 – Present
Data Analytics Professional Certification
Ducat School of AI
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a breadth of experience across different domains (e-commerce, telecom, payments, grocery), indicating adaptability and a willingness to tackle varied business problems. The certifications and virtual experience show initiative and a proactive approach to skill development, which aligns with a growth-oriented culture. The projects are well-aligned with a Data Analyst role, suggesting a good fit for a data-driven team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with diverse datasets and deliver business-focused insights, suggesting a problem-solving mindset. The focus on identifying key drivers and providing recommendations points to an analytical and results-oriented approach. However, without direct behavioral assessment, specific soft skills like teamwork or stress handling cannot be fully evaluated.