sahil's Projects
ALL TABLEAU PROJECT
The purpose of this project is to analyze a data set of bike sales and provide insights into the factors that influence bike purchases. The data set contains information about the customers’ demographics, income, education, commute distance, and bike purchase status.
a medium size bikes & cycling accessories organisation. In particular, they speak about how the team can effectively analyze the datasets to help Sprocket Central Pty Ltd grow its business.
Objective : We will try to build a machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not?
This project analyzes sales data from a US Super Store in-depth and provides valuable insights that will assist the management team in making important choices that will help them grow their business and have a significant global presence.
Mahalamxi superstore wants to create an annual sales reports for 2022 ,so that owner can understand their customer and grow more sale in 2023
Imagine collecting all the required information from a website with just a few lines of Python codes! Yes, it’s possible by using Python libraries such as Beautiful Soup and Requests.
Hospital Records Analysis for Public Health Programm
Plato’s Pizza have been collecting transactional data for the past year, but haven’t been able to put it to good use. Plato’s Pizza needs me to analyze the data and put together a report to help them find opportunities to drive more sales and work more efficiently.
SONAR is an abbreviation for Sound Navigation and Ranging. It detects submerged things using sound waves. Deep learning and machine learning-based techniques have applications in recognizing sonar sounds and hence targets.
Modelling energy production is a core task for those developing, financing, and operating renewable energy projects.
Context With growing demands and cut-throat competitions in the market, a Superstore Giantwould like to understand which products, regions, categories and customer segments they should target or avoid.
Optimizing Shipping Efficiency and Revenue Generation
SQL Here, we have solved the two case studies one is related to Zommato data analysis and other is related to IPL datat analysis description of both datasets are given below :
Data Mart is Danny’s latest venture and after running international operations for his online supermarket that specialises in fresh produce - Danny is asking for your support to analyse his sales performance.