Projects
IPL-EDA
1.IPL EDA unveils run-scoring trends and player performance insights.
2.Top performers identified for strategic team selections.
3.Valuable insights inform match outcomes, empowering data-driven decisions.
4.Tech Stack: Python, Pandas, Streamlit, Plotly, Matplotlib
5.Platform: Juypter, Pycharm, google collab
IPL-EDA-Github link
Netflix Discoveries:Inside Netflix
1.The Netflix EDA Project utilizes streaming data to improve content strategy.
2.It examines genres, user behavior, and regional differences to gain valuable insights.
3.The data-driven approach guides decision-making processes within Netflix.
4.User experiences are enhanced through optimized content recommendations.
5.The analysis ensures content remains relevant and engaging for a global audience.
6.Netflix's data-driven success stems from this exciting exploration of streaming data.
7.Tech stack:Python,Pandas,Streamlit,plotly
8.Platform:juypter,pycharm
NETFLIX-EDA-Github link
FAASO SQL ANALYSIS
Rebel Foods, formerly known as Faasos, is a renowned food delivery company in India. It originated as a restaurant chain but transitioned into an online platform. Rebel Foods is known for providing affordable meals, a wide variety of cuisines, and prompt delivery services. They operate numerous brands and leverage technology to enhance the overall
FAASO SQL ANALYSIS GITHUB LINKZOMATO EXPLORATION WITH PYTHON AND SQL
Explore restaurant scene in 3 Indian metros (174 restaurants). Valuable resource for researchers, analysts & food enthusiasts to study dining & delivery ratings, preferences, cuisines, pricing, trends, & customer satisfaction. Make data-driven decisions for restaurant business & food choices.
ZOMATO EXPLORATION GITHUB LINK