Shivani Dashore
shivanidashore777
Entry Level Data Analyst || Looking for Opportunities || SQL π || Python π|| Power BIπ|| Snowflake βοΈ|| Excel π
Languages
Repos
10
Stars
12
Forks
0
Top Language
Jupyter Notebook
Loading contributions...
Top Repositories
The IPL EDA (Exploratory Data Analysis) was conducted, revealing valuable insights. The analysis focused on various aspects such as player performance, team statistics, and match outcomes. Key findings include trends in run-scoring, top performers, and team dynamics. The EDA offers actionable insights for teams and fans to make data-driven decision
Pandas: Powerful data manipulation, exploration, and analysis. Clean, filter, sort, merge, reshape, and aggregate data easily. Handle missing data, duplicates, and compute on rows/columns. Seamless integration with Matplotlib and Seaborn for data visualization. Efficiently handles large datasets. πΌππͺ
Faasos (now Rebel Foods) is a popular Indian food delivery company. It started as a restaurant chain, then shifted online. They offer affordable meals, diverse cuisines, and efficient delivery. Rebel Foods operates multiple brands, using technology to enhance the food delivery experience.
The Netflix EDA Project uncovers insights from streaming data to enhance content strategy. Analyzing genres, user behavior, and regional variations, it informs decision-making, improves user experiences, and ensures global relevance. An exciting exploration into Netflix's data-driven success.
All about data
Repositories
10The IPL EDA (Exploratory Data Analysis) was conducted, revealing valuable insights. The analysis focused on various aspects such as player performance, team statistics, and match outcomes. Key findings include trends in run-scoring, top performers, and team dynamics. The EDA offers actionable insights for teams and fans to make data-driven decision
Pandas: Powerful data manipulation, exploration, and analysis. Clean, filter, sort, merge, reshape, and aggregate data easily. Handle missing data, duplicates, and compute on rows/columns. Seamless integration with Matplotlib and Seaborn for data visualization. Efficiently handles large datasets. πΌππͺ
No description provided.
No description provided.
No description provided.
Comprehensive dataset on 174 restaurants in 3 Indian metros. Researchers & food enthusiasts gain insights into dining, delivery ratings, customer preferences, cuisines, pricing, trends, aiding data-driven decisions for restaurants & customer satisfaction
No description provided.
Faasos (now Rebel Foods) is a popular Indian food delivery company. It started as a restaurant chain, then shifted online. They offer affordable meals, diverse cuisines, and efficient delivery. Rebel Foods operates multiple brands, using technology to enhance the food delivery experience.
The Netflix EDA Project uncovers insights from streaming data to enhance content strategy. Analyzing genres, user behavior, and regional variations, it informs decision-making, improves user experiences, and ensures global relevance. An exciting exploration into Netflix's data-driven success.
All about data