Pinned Repositories
Amazon-Global-Sales-Dashboard
This project performs data analysis on Amazon Global Sales using Power BI. It implements data preprocessing, data cleaning, Power Query and data visualization.
Amazon_Alexa_Review_NLTK
In this project, a sentiment analysis model was developed to analyze Amazon Alexa reviews using NLP techniques and machine learning classifiers. Through data preprocessing, model training, and deployment, actionable insights were derived to understand customer sentiments effectively.
Payment-Fraud-Detection
The Project implements ML algorithms for Online Payment Fraud detection
Pre-owned-_Car_Analysis
This project project on pre-owned car analysis provides comprehensive insights into the secondary automotive market using POWER BI. By analyzing factors such as car age, selling prices, and present values, it enables users to identify trends, pricing strategies, and market opportunities within the used car industry.
Sales-Analytics
This project performs Global Sales analytics using MS-Excel. It include data cleaning, filtering, conditional formatting, calculated columns, formulas, LOOKUP functions, pivot table and data visualization.
SMS-Spam-Detection-using-NLP
This project implements NLP and Classification models for Spam SMS detection
JanviSK's Repositories
JanviSK/Amazon-Global-Sales-Dashboard
This project performs data analysis on Amazon Global Sales using Power BI. It implements data preprocessing, data cleaning, Power Query and data visualization.
JanviSK/Amazon_Alexa_Review_NLTK
In this project, a sentiment analysis model was developed to analyze Amazon Alexa reviews using NLP techniques and machine learning classifiers. Through data preprocessing, model training, and deployment, actionable insights were derived to understand customer sentiments effectively.
JanviSK/Payment-Fraud-Detection
The Project implements ML algorithms for Online Payment Fraud detection
JanviSK/Pre-owned-_Car_Analysis
This project project on pre-owned car analysis provides comprehensive insights into the secondary automotive market using POWER BI. By analyzing factors such as car age, selling prices, and present values, it enables users to identify trends, pricing strategies, and market opportunities within the used car industry.
JanviSK/Sales-Analytics
This project performs Global Sales analytics using MS-Excel. It include data cleaning, filtering, conditional formatting, calculated columns, formulas, LOOKUP functions, pivot table and data visualization.
JanviSK/SMS-Spam-Detection-using-NLP
This project implements NLP and Classification models for Spam SMS detection