Debarati-Chatterjee
Data Analyst | Excel | SQL | Power Bi | R | Python | Machine Learning | Deep Learning
AchieveX SolutionAsansol, India
Pinned Repositories
Best-Movies-TV-Shows-of-Netflix
Call-Volume-Trend-Analysis
This project is constructed to analysis call volume of a call center and to create a man power estimation to optimize customer satisfiction
Credit-Card-Risk-Prediction
This project is created to predict risk credit card loan of a bank using Classification Machine Learning Model
Customer-Segmentation-with-RFM-Analysis
This project is created to segment customer based on their buying pattern using RFM Analysis. Further creating K-Mean Clustering model for more precise segmentation for optimize result
Global-Terrorism-Analysis
Global Terrorism Analysis dashboard created in power bi to analysis terrorist activities around the worldt
Hiring-Process-Analysis
This project analyze Trends such as- number of rejections, number of interviews, types of jobs, vacancies etc before hiring freshers or any other individuals. I performed Exploratory Data Analysis to clean, manipulate, data, check outliers and visualize data further using MS Excel. I discovered among 7164 applicants 66% had been hired .
Impact-of-Car-features-on-Price-and-Profitability-
This project is constructed to optimize car manufacturer's pricing and product development decisions for maximum profitability while meeting consumer demand.
Instagram-Analytics
This project is created to analyze Instagram Users, Hastag, Likes of photos using SQL
Operation-Analytics
This project predicts the overall growth or decline of a company’s fortune, better automation, better understanding between cross-functional teams, and effective workflows. Using Advance SQL, I analyse 450k data over different tables and find a insight of 47% user growth rate and 34% of email engagement rate
Sentiment-Analysis-of-Indigo-Customer
This model is produced to analyze sentiment of customer of Indigo Flights using NLP
Debarati-Chatterjee's Repositories
Debarati-Chatterjee/Best-Movies-TV-Shows-of-Netflix
Debarati-Chatterjee/Call-Volume-Trend-Analysis
This project is constructed to analysis call volume of a call center and to create a man power estimation to optimize customer satisfiction
Debarati-Chatterjee/Global-Terrorism-Analysis
Global Terrorism Analysis dashboard created in power bi to analysis terrorist activities around the worldt
Debarati-Chatterjee/Hiring-Process-Analysis
This project analyze Trends such as- number of rejections, number of interviews, types of jobs, vacancies etc before hiring freshers or any other individuals. I performed Exploratory Data Analysis to clean, manipulate, data, check outliers and visualize data further using MS Excel. I discovered among 7164 applicants 66% had been hired .
Debarati-Chatterjee/Impact-of-Car-features-on-Price-and-Profitability-
This project is constructed to optimize car manufacturer's pricing and product development decisions for maximum profitability while meeting consumer demand.
Debarati-Chatterjee/Instagram-Analytics
This project is created to analyze Instagram Users, Hastag, Likes of photos using SQL
Debarati-Chatterjee/Operation-Analytics
This project predicts the overall growth or decline of a company’s fortune, better automation, better understanding between cross-functional teams, and effective workflows. Using Advance SQL, I analyse 450k data over different tables and find a insight of 47% user growth rate and 34% of email engagement rate
Debarati-Chatterjee/Credit-Card-Risk-Prediction
This project is created to predict risk credit card loan of a bank using Classification Machine Learning Model
Debarati-Chatterjee/Customer-Segmentation-with-RFM-Analysis
This project is created to segment customer based on their buying pattern using RFM Analysis. Further creating K-Mean Clustering model for more precise segmentation for optimize result
Debarati-Chatterjee/Sentiment-Analysis-of-Indigo-Customer
This model is produced to analyze sentiment of customer of Indigo Flights using NLP
Debarati-Chatterjee/Car-Price-Prediction
In this project developed multiple linear regression machine learning model to predict car price