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Data Analyst with less than a year in SQL, Python & Power BI
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Motivated and detail-oriented professional with hands-on experience in SQL, Python, Excel, Power BI, PySpark, and Databricks. Proficient in data cleaning, exploratory data analysis (EDA), data transformation, and dashboard development. Eager to apply analytical and problem-solving skills to uncover insights, support business decisions, and contribute to data-driven projects in a dynamic work environment.
vivekananda global university
B.Tech · CSE
August 1, 2021 – May 1, 2025
Innomatics Research Lab
Data Analyst Trainee
February 1, 2025 – August 1, 2025
Jaipur, Rajasthan, India
Banking Data Analysis System
May 1, 2025 – May 1, 2025
Imported banking data into MySQL and created tables for customers, accounts, and transactions. Connected MySQL with Python to perform data analysis and cleaning. Removed missing values, fixed data types, and deleted duplicate records. Analyzed customer balances, deposits, withdrawals, and transaction trends. Used statistical methods like correlation analysis and outlier detection. Created charts and graphs using Matplotlib and Seaborn for better visualization. Built interactive Power BI dashboards to track KPIs such as total deposits, withdrawals, and average balance. Developed a complete workflow from data storage to dashboard reporting.
Zomato Data Exploration and Analysis using SQL Server
May 1, 2025 – May 1, 2025
Zomato is a leading restaurant aggregator and food delivery platform. This project focuses on exploring and analyzing a Zomato dataset (9,000+ rows) containing attributes like Restaurant_ID, Restaurant_Name, City, Location, Cuisines, etc., using SQL Server to derive actionable insights about restaurant operations and customer preferences.
College Placement Database System
May 1, 2025 – May 1, 2025
Created tables for students, companies, placements, courses, and enrollments. Used SQL to store and manage placement records and student academic data. Wrote queries to find placed/unplaced students, top hiring companies, and salary trends. Applied JOIN, GROUP BY, and subqueries to generate insights like department-wise placements. Helped simulate a real-world college placement portal with accurate reporting.
Movie Sales Analysis Dashboard using Power BI
May 1, 2025 – May 1, 2025
Created an interactive dashboard to analyze movie performance and revenue trends. Used Power Query for data cleaning and DAX for KPIs like total revenue, average rating, and movie count. Visualized insights by genre, year, and rating using charts, cards, and slicers. Helped understand how factors like genre, rating, and runtime affect movie revenue.
Student Records Management System
May 1, 2025 – May 1, 2025
I analyzed an Excel dataset containing financial details of various Indian banks. I cleaned the data, removed duplicates, and organized it using sorting and filtering. Using Excel formulas and pivot tables, I compared deposits, loans, NPAs, and profitability across banks. I used charts to visualize which banks performed better in deposits, loan distribution, and NPA control. This project helps understand the overall performance and financial health of banks using simple Excel analysis.
Python Programming
Innomatics research labs
June 1, 2026 – Present
Data analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like banking, food delivery, movie sales, and college placements, indicating a broad interest in applying data analysis across different business contexts. The skills listed (SQL, Python, Power BI, Excel, EDA) align well with a Data Analyst role. The internship experience further solidifies this alignment. The candidate appears eager to contribute to data-driven projects, which is a positive indicator for cultural fit in an analytical environment.
Soft Skills & Operational Fit
The candidate demonstrates a motivated and detail-oriented approach, as stated in the summary. Project descriptions indicate an ability to work through data analysis workflows, suggesting good problem-solving and analytical skills. The internship experience, though short, points to an ability to learn and apply new tools in a practical setting. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is difficult.