Hi, I'm
Data Analyst with expertise in Python, SQL, and Power BI. Engineered dashboards analyzing 7,000+ customer records, identifying churn drivers and retention strategies. Proficient in ETL, web scraping, and data visualization.
I am an Entry-Level Data Analyst with hands-on internship experience in Python, SQL, Power BI, and Excel. Currently working as a Data Science Intern at Innomatics Research Labs, I analyze real-world datasets (10k+ records), perform data cleaning and preprocessing, conduct exploratory data analysis (EDA), and build interactive Power BI dashboards that support data-driven business decisions. I specialize in transforming raw data into clear, actionable insights through KPI dashboards, reports, and visual storytelling. I am comfortable working across the complete data lifecycle — from raw data extraction to stakeholder-ready insights. Currently seeking Entry-Level Data Analyst opportunities where I can contribute analytical thinking and business-focused insights.
Python, SQL
Pandas, NumPy, Matplotlib, Seaborn
EDA,Dashboard,Data Visualisation
Power BI,Excel, Git/Github, Streamlit
Regression, Classification
Shivaji University, Kolhapur
2022 – 2025 | Grade: A
Innomatics Research Labs
Impact: Analyzed 7K+ records, identified 62% churn from inactive users
Tech: Power BI, DAX, KPIs
Impact: Scraped 10K+ restaurant reviews for trend analysis
Tech: Python, Web Scraping, EDA
Impact: SQL database for 50+ years energy data trends
Tech: SQL, Database Design, CTEs
Interested in working together? Feel free to reach out.