Abhishek Ramesh Shettigar's Projects
In this project, you will perform basic data analysis on a dataset of Airbnb listings. EDA is a fundamental step in data science that involves exploring and understanding the data before diving into more complex analysis or modeling.
Config files for my GitHub profile.
Designed a Power BI dashboard to understand AtliQ hardware goods sales trends. The final dashboard was effective at displaying the sales trend of AtliQ hardware, allowing users to understand the data and make informed decisions. This dashboard could help in increasing the revenue at least by 7% in the next quarter.
Designed a Power BI dashboard to track employee data for the HR team, including working hours, attendance, performance, and leaves. The dashboard streamlined HR processes and increased efficiency. This Dashboard can save 3-4hrs of work for the HR.
Our BI solution has empowered Axon to effectively manage and analyze sales data, resulting in improved decision-making processes.
British Airways is the flag carrier airline of the United Kingdom. Thousands of flights travel the world, carrying customers across the world. Whether itβs for holidays or any other reason, the process of scheduling, planning, boarding, fuelling, transporting, landing, and running flights on time and top-class customer service is a huge task.
Atliq Hardwares (imaginary company) is one of the leading computer hardware producers in India and well expanded in other countries too. We will solve the tasks given by the Director by using Data analysis with SQL.
Utilize machine learning techniques to predict the chances of a person contracting COVID-19 based on their individual information.
This is a OdinSchool data science capstone project. The project is about creating prediction model for credit card approval for customers.
Created a Power BI report to identify top 11 players for a T20 cricket team by scraping data from espncricinfo with a Brightdata website tool, cleaning and transforming the data with pandas, and evaluating various player performance metrics.