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Shivani Dashore

shivanidashore777

Entry Level Data Analyst || Looking for Opportunities || SQL πŸŒ€ || Python 🐍|| Power BIπŸ“Š|| Snowflake ❄️|| Excel πŸ“‘

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Jupyter Notebook67%Python17%CSS17%

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10

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12

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0

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Top Repositories

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

3Python
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. πŸΌπŸ“ŠπŸ’ͺ

3Jupyter Notebook
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.

2
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.

2Jupyter Notebook
Python_for_Data_Analyst_by_Shivani_Dashore
1Jupyter Notebook
ineuron_fsda_2.0

All about data

1

Repositories

10
SH
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

Python30Updated 2 years ago
codingdataanalystdatacleaningdatavisualizationgooglecollabjupyter-notebookmatplotlibpandasplotlypythonstreamlit
SH
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. πŸΌπŸ“ŠπŸ’ͺ

Jupyter Notebook30Updated 2 years ago
SH
shivanidashore777/Analytics-With-Anand

No description provided.

00Updated 2 years ago
SH
shivanidashore777/shivanidashore777

No description provided.

00Updated 2 years ago
SH
shivanidashore777/DataInsightsShivaniDashore

No description provided.

CSS00Updated 2 years ago
SH
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

Jupyter Notebook00Updated 2 years ago
aggregationdataanalystgroupbyjupyter-notebookpandasplotlypythonsqlsqlitesqlite3where
SH
shivanidashore777/Python_for_Data_Analyst_by_Shivani_Dashore

No description provided.

Jupyter Notebook10Updated 2 years ago
SH
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.

20Updated 2 years ago
casestatementctedatefunctionsddl-commandsdml-commandsdql-commandgroupbyjoinsmysqlmysqlworkbenchorderbystringfunctionssubquerieswhereclausewindowfunctions
SH
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.

Jupyter Notebook20Updated 2 years ago
colab-notebookmatplotlibpandasplotplypythonstreamlit
SH
shivanidashore777/ineuron_fsda_2.0

All about data

10Updated 2 years ago

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