Ishwar Gupta

Introduction to Data Science

Issued by CISCO

Business Analytics with Excel

Issued by Simplilearn

Python

Issued by HackerRank

SQL

Issued by HackerRank

SmartEstateHub: Property Analytics and Recommender System using ML/ ML Ops

In my capstone project, I delved into the exciting realm of real estate analytics and recommendation systems. Leveraging the power of machine learning, I crafted a robust solution tailored for estate property enthusiasts and potential buyers.

Movie-Recommender-System

I'm delving into the creation of a Movie Recommender System, leveraging advanced machine learning algorithms to provide personalized suggestions. This project aims to enhance user experience by analyzing preferences and patterns, delivering tailored movie recommendations for an engaging cinematic journey.

IPL Data Science and Analysis Project WebApp

Dive into the world of cricket with our IPL Data Science and Analysis Project WebApp. Explore comprehensive insights and analysis derived from IPL cricket matches using advanced data science techniques. From player performance to team strategies, uncover the hidden patterns and trends within the game.

India Census Statistics Dashboard WebApp

Embark on an insightful journey into India's demographic landscape with our interactive Census Statistics Dashboard WebApp. From population trends to literacy rates, explore comprehensive visualizations and data insights derived from India's census data. Experience the power of data visualization in understanding the dynamics of India's diverse population.

HR Analytics Dashboard

In HR analytics project, I developed a comprehensive dashboard to analyze employee performance and engagement metrics. It includes turnover rates, performance evaluations, enriched with sentiment analysis from employee feedback. This tool enables proactive decision-making and fosters a data-driven approach to improving workplace satisfaction. .

US Complaints Dashboard

In US Complaints dashboard created in Tableau, I utilized advanced features like Level of Detail (LOD) calculations to analyze and visualize consumer complaints across sectors. This interactive tool showcases trends, frequencies, and geographical patterns, providing valuable insights for regulatory bodies and businesses to enhance customer satisfaction and operational efficiency.