This repository contains all the task which I have performed under "The Sparks Foundation" as a data science & business analytics Intern. 📝
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Updated
Sep 10, 2021 - Jupyter Notebook
This repository contains all the task which I have performed under "The Sparks Foundation" as a data science & business analytics Intern. 📝
Created a Dashboard to visualize Adventure Works Sales from 2015-2017
Config files for my GitHub profile.
The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and Power BI's query tool.
✅This dashboard helps HR to figure out the possible reasons behind employees leaving the company.〽️
Describing Inventory Control Techniques and Methods to analyze existing inventory data and stocks using Python, Power BI and Excel forms
Bank Marketing Campaign Analysis to highlight the customers profile and targeted campaign success factors
Aquí encontrarás proyectos y prácticas relacionadas con el análisis descriptivo y la visualización de datos. También podes ingresar al enlace de novypro donde publicaré mis proyectos.
The Sparks Foundation, Singapore (Internship)
Creating various analysis mini projects with POWER BI desktop
This is suicide analyze in India project using data Science with python. There are used python libraries like pandas, matplotlip, etc.
Created interactive dashboard to track and analyze online sales data.
USA Hate Crime exploratory data analysis and visualization from the FBI Dataset ranged from 1991 - 2018. Power Bi visualization is performed as a analysis Dashboard. Below is the kaggle dataset link.
I chose 'fatalities_isr_pse_conflict_2000_to_2023' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and PowerBI's query tool.
This repository contains the complete Power BI Dashboard which describe the Bank money transaction data which can filter by year.
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