Sentiment Analysis of Customer Reviews and Ticket Booking Prediction in British Airways

Sentiment Analysis of customer reviews in British airways to categorize them accordingly. Predicting factors which influence a successful booking of flight tickets using Python and Machine Learning models

Exploratory Data Analysis on Used Car Price Prediction

Prediction of prices on used cars to enable the customer to select the right one. This machine learning model takes into account many factors such as brand, model, model year, engine size etc. . Results show good accuracy of 95%

London Bike Sharing - End2End Analytics

This is a public dataset from Kaggle which represents the data given by the British Government on the bike sharing mechanism practiced in the UK. The data has been cleaned, analyzed and visualized using Tableau

Housing Price Prediction

Predictive Analysis on determining the housing prices using various factors. R Studio was used to create a predictive model based on various factors such as suburbs, council, bedrooms and total sq.ft. Model was developed with a good accuracy of 84.25%

PwC Switzerland - Power BI Job Simulation

Completed a job simulation where I strengthened my PowerBI skills to better understand clients and their data visualization needs through the creation of Power BI dashboards that effectively conveyed KPIs, and gender-balance issues.

HR Analytics Dashboard based on Attrition Rate

Created a HR Analytics Dashboard to denote the attrition rate of an organization and what are the various factors which affect this attrition rate based on average age, active employees, attrition count and many more KPI's.

Sales Analysis Dashboard

A complete sales analysis dashboard in Power BI depicting important KPI's like total sales, total quantity ordered, segregating sales by city, month and day respectively for the entire region of United States.

Walmart Sales Analysis for January to March in 2019

Completed a full analysis of Walmart Sales and Product data for the month of January to March in the year 2019. Starting from retrieving data through custom SQL queries to exploratory data analysis and dashboard analysis of the same through PowerBI for better business insights of sales metrics.