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Data Analyst with less than a year in Python, SQL & Power BI.
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 with internship and project experience in Python, SQL, and Power BI, skilled in analyzing 7,000+ customer records and building KPI-driven dashboards. Experienced in data cleaning, exploratory data analysis, and visualization using Pandas, NumPy, and DAX to uncover trends that support churn reduction and revenue growth. Seeking an entry-level Data Analyst role to apply analytical thinking and problem-solving skills to real business problems.
Shivaji University, Kolhapur
Bachelor of Science (B.Sc.) · Computer Science
July 1, 2022 – April 1, 2025
Innomatics Research Labs
Data Analysis and Science Intern
November 1, 2025 – March 1, 2026
India
World Wide Energy Consumption Analysis
June 1, 2026 – Present
Designed a relational database schema with primary and foreign key constraints. Retrieved and manipulated large datasets using advanced SQL queries and joins. Analyzed 50+ years of GDP growth, energy consumption, and emission trends across 200+ countries using complex SQL joins and aggregations. Optimized SQL queries to improve performance and analytical efficiency.
View ProjectScraping and Analyzing Restaurant Trends Eazydiner
June 1, 2026 – Present
Automated restaurant data extraction using Python web scraping techniques. Conducted EDA on ratings, pricing, cuisines, discounts, and locations. Identified consumer behavior patterns and regional market trends.
View ProjectCustomer Churn Analysis Dashboard
June 1, 2026 – Present
Built an end-to-end Power BI dashboard analyzing 7,000+ telecom customers using data modeling and DAX measures. Identified high-risk churn segments based on contract type, demographics, and services. Performed data transformation in Power Query to ensure reporting accuracy. Delivered insights that identified 22% high-risk customers, supporting targeted retention strategies projected to reduce churn by 10%.
View ProjectPower BI
Innomatics Research Labs
June 1, 2026 – Present
Exploratory Data Analysis
Innomatics Research Labs
June 1, 2026 – Present
Python Programming
Innomatics Research Labs
June 1, 2026 – Present
International Level Student Workshop 2024 on Data Science Using Python
Brain O Vision
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (energy, restaurant trends, telecom churn) and certifications indicate a proactive learning attitude and broad interest in applying data analysis across different domains. This suggests adaptability and a willingness to explore various challenges, contributing positively to cultural fit within a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and problem-solving skills through project descriptions. Their ability to collaborate across the full data life cycle, from extraction to reporting, indicates good operational fit for data-centric teams. Communication skills are inferred from the clear project descriptions.