I hold a Master’s degree in Information Technology and specialize in Data Analysis. I enjoy working with data to uncover patterns, build dashboards, and transform raw numbers into meaningful business insights.
Hi, I’m Jaideep Patil, a passionate Data Analyst who loves turning raw data into meaningful stories.
I work with SQL, Python, Power BI, and Excel to clean, analyze, and visualize data that supports better decisions.
I enjoy building interactive dashboards, writing advanced SQL queries, and uncovering trends hidden in data.
My projects span retail, e-commerce, and streaming platforms, including Walmart, Netflix, and Spotify analyses.
I focus on data accuracy, clear KPIs, and strong visual storytelling.
Comfortable with databases and ETL processes, I bridge technical analysis with business needs.
Always curious and continuously learning to grow as a modern, impact-driven data analyst.
TOPS Technologies, Sayajigunj,Vadodara.
North Maharashtra university Jalgaon, maharashtra
Institute of management Research and Development, Shirpur
7.94 : CGPA
Parul university, Vadodara, Gujarat
Parul Institute of Computer Application, Vadodara
7.26 : CGPA
ANAND MAHARAJ ARTS, COMMERCE & SCIENCE COLLEGE
Percentage – 47.23 | Nashik
Maharastra State Board of SSC
Shri Mahavir English medium school
Grade – 7.0 | Shahada
Analyzed Flipkart laptop data to uncover pricing trends, brand preferences, and discounts, and visualized insights using Power BI.
Tools:
Python, Pandas, BeautifulSoup, Power BI
Analyzed sales order data using Python and MySQL to identify top products, regional performance, and monthly sales trends.
Tools: Python, Pandas, MySQL, Jupyter
Analyzed Walmart sales data using Python and SQL to solve key business problems.
Tools: Python, Pandas, MySQL, PostgreSQL, SQLAlchemy
Explored Netflix content data to identify trends in content types, ratings, duration, and release years using visual analysis.
Tools: Python, Pandas, Matplotlib.
Analyzed retail sales data in Excel to track monthly performance, top states, and customer behavior using dashboards.
Tools: Microsoft Excel, Pivot Tables, Charts.
Cleaned and analyzed 12 months of sales data to identify top products, cities, advertising times, and product bundles.
Tools: Python, Pandas, Matplotlib
Built an interactive Power BI dashboard to track pizza sales, KPIs, category trends, and top/bottom products.
Tools: Power BI, DAX, Power Query, Excel
Designed a relational database to manage books, members, employees, and transactions with ER diagrams and SQL reports.
Tools: SQL, MySQL, ER Modeling."
Created a Spotify Power BI dashboard to track Top 50 songs, artist performance, and popularity trends using DAX.
Tools: Power BI, Power Query, DAX
"I'm excited to connect and discuss how we can collaborate on innovative projects. Feel free to reach out!".