To develop a model that will give an accurate prediction of stock prices along with an accurate representation of the current sentiments for the stock in social media

Risk modelling approach for Indian Stock Market to develop smart future prediction system

Domain Marketing and Retail Analytics

To develop a model that will give an accurate prediction of stock prices along with an accurate representation of the current sentiments for the stock in social media

Course Web and Social Media Analytics

Brand perception of a multi-national organization was analyzed by extracting Twitter mentions for the brand and conducting text mining (Correlation, Frequency, Topic Modelling, Sentiment Analysis) on it

Course Supply Chain and Logistics Analytics

Analyzed the existing capacity as well as the projected product demand of Mapleleaf Corporation. Evaluated the economic viability of the investment to be made for capacity expansion and provided detailed analytical justifications.

The project involved an in-depth analysis of identifying customers who will default on their loan payments. Logistic regression using R was used to build a prediction model for predicting defaults on loans.

Course Data Visualization using TABLEAU

This project explored the art of problem-solving with the aid of visual analytics to identify properties of sale and factors affecting it. Tableau’s data visualization tools were used to create interactive dashboards to uncover hidden insights for sellers of the properties as well as prospective buyers

Course Marketing and Retail Analytics

Market Basket Analysis was conducted on 1000 grocery receipts to understand what goods can be bundled and what types of promotions or discounts can be offered on the products either online or at the retail store.

Analyzed the employee database of a firm with around 500 employees. Built a Machine learning model that best explained the employee's decision to use a specific medium as his/her main means of transport.

Course Data Mining

The Project investigates the factors that cause employee attrition in organizations. An Employee attrition model was built using moderate Neural Network Model and Random Forest. After generating common performance parameters for both the models, an Ensemble Model was created that identified the cause of employee attrition.