shivanidashore777
Entry Level Data Analyst || Looking for Opportunities || SQL π || Python π|| Power BIπ|| Snowflake βοΈ|| Excel π
Indore
Pinned Repositories
Analytics-With-Anand
DataInsightsShivaniDashore
FAASOS_SQL_ANALYSIS_PROJECT
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.
ineuron_fsda_2.0
All about data
IPL_Exploratory_Data_Analysis_project
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
Netflix_Exploratory_Data_Analysis_Website
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.
Python_for_Data_Analyst_by_Shivani_Dashore
shivanidashore777
The_Ultimate_Guide_of_Pandas_in_Data_Analysis
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
Zomato_Analysis_With_Python_Sql
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
shivanidashore777's Repositories
shivanidashore777/IPL_Exploratory_Data_Analysis_project
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
shivanidashore777/The_Ultimate_Guide_of_Pandas_in_Data_Analysis
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
shivanidashore777/FAASOS_SQL_ANALYSIS_PROJECT
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.
shivanidashore777/Netflix_Exploratory_Data_Analysis_Website
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.
shivanidashore777/ineuron_fsda_2.0
All about data
shivanidashore777/Python_for_Data_Analyst_by_Shivani_Dashore
shivanidashore777/Analytics-With-Anand
shivanidashore777/DataInsightsShivaniDashore
shivanidashore777/shivanidashore777
shivanidashore777/Zomato_Analysis_With_Python_Sql
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