SuhasTantri
Data Analytics professional leveraging data to generate insights and help organizations in making data driven decisons.
Senior Analyst - KantarBangalore
Pinned Repositories
Atliq-Sales-Report
Sales Report to Empower businesses to monitor and evaluate their sales activities and performance.
Bike-Demand-Prediction
This repository consists of Rental Bike demand prediction required at each hour of the day so that stable supply of rental bikes can be made possible. This is done by applying various Regression Machine Learning Algorithms.
Cardiovascular-Risk-Prediction-Classification
This repository consists of Cardiovascular Risk Prediction problem which has been solved by applying classification machine learning algorithms.
IPL-Analysis
I have analyzed IPL data in this project using Python libraries like Numpy and Pandas and provided some insights.
Netflix-movies-and-tv-shows-clustering
This repository consists of a project on clustering of content on Netflix streaming platform based on the description given about the content in the datset.
Promotion-and-sales-analysis
Analysis of sales of Atliq Mart for its 50 stores in 10 cities of India before and after the promotional period of Diwali (Nov 2023) and Sankranti (Jan 2024) , where each festive campaign is of 7 day duration.
Real-time-emotion-detection
This repository consists of a project where deep learning algorithms have been used to analyze facial emotions of the students in the class in real time using Open CV. A web app has also been created using streamlit for demonstration purposes.
Telecom-Churn-EDA
This repository consists of EDA project on Telecom Churn Analysis using Orange Telecom Dataset where useful insights have been obtained and few measures have been suggested for customer retention
SuhasTantri's Repositories
SuhasTantri/Real-time-emotion-detection
This repository consists of a project where deep learning algorithms have been used to analyze facial emotions of the students in the class in real time using Open CV. A web app has also been created using streamlit for demonstration purposes.
SuhasTantri/Atliq-Sales-Report
Sales Report to Empower businesses to monitor and evaluate their sales activities and performance.
SuhasTantri/Bike-Demand-Prediction
This repository consists of Rental Bike demand prediction required at each hour of the day so that stable supply of rental bikes can be made possible. This is done by applying various Regression Machine Learning Algorithms.
SuhasTantri/Cardiovascular-Risk-Prediction-Classification
This repository consists of Cardiovascular Risk Prediction problem which has been solved by applying classification machine learning algorithms.
SuhasTantri/IPL-Analysis
I have analyzed IPL data in this project using Python libraries like Numpy and Pandas and provided some insights.
SuhasTantri/Netflix-movies-and-tv-shows-clustering
This repository consists of a project on clustering of content on Netflix streaming platform based on the description given about the content in the datset.
SuhasTantri/Promotion-and-sales-analysis
Analysis of sales of Atliq Mart for its 50 stores in 10 cities of India before and after the promotional period of Diwali (Nov 2023) and Sankranti (Jan 2024) , where each festive campaign is of 7 day duration.
SuhasTantri/Telecom-Churn-EDA
This repository consists of EDA project on Telecom Churn Analysis using Orange Telecom Dataset where useful insights have been obtained and few measures have been suggested for customer retention