Machine Learning Engineer at NielsenIQ | xAmazon

Vitthalsing Gushinge  • Peerlist

The project involves deciding on the mode of transport that the employees prefer while commuting to office. For this, multiple models such as KNN, Naive Bayes, Logistic Regression have been created and explored to check their model performa

Choosing preferable mode of transport by employees

This project explored the art of problem-solving with the aid of visual analytics. Tableau’s data visualization tools were used to create interactive dashboards to provide high-level insights to an Insurance company to drive the company's c

Visualizing Car Insurance Claims using Tableau

The objective of the project is to use the dataset Factor-Hair-Revised.csv to build a regression model to predict satisfaction. Project Approach:  Data Exploration  Collinearity of the variables  Initial Regression analysis  Factor Anal

Customer Satisfaction -- Hair product

The objective of the project was to predict the results of a forthcoming election in India. Developed a model using machine learning algorithms on historical election data to predict future election outcomes.

Built a machine learning model for predicting election outcomes

Initial text mining exercise was performed on a dataset of Shark tank episodes with 495 entrepreneurs making their pitch to VCs. Used that to build multiple models (CART, Random Forest, Logistic Regression) to predict keywords which have an

Pitch Analysis of Shark Tank contestants

This system works for taking attendance of student.The idea is reduce manual attendance system and help student to focus on lectures.

Face Recognition  Based Lecture Attendance System

This project used Hypothesis Testing and visualization to evaluate a new golf ball coating designed to resist cuts and provide durability by comparing the driving distances of the old and new golf ball.