This repository is for showcasing the following projects that I worked for the master's degree at Smith School of Business, Queen's University.
- GMMA 860 - Team Project on Data Management & Visualization
- GMMA 831 - Team & Individual Projects on Marketing Analytics
- GMMA 865 - Individual Project on Big Data & NLP
- GMMA 867 - Individual Project on Predictive Analytics
Based on F1 race data from Formula 1 World Championships (1950 - 2021) from Kaggle Competition, analyzed and visualized F1 data, and developed the predictive model, using R as programming language, and Tableau & Power BI for visualization.
Based on the BigBasket Case for the Product Recommendation, which is the India's largest online retailer, the real-life retailer's data was analyzed and models for the recommendation system were developed to optimize their business processes, using R as programming language.
Performed the sentiment analysis on the real-life "product sentiment" text datasets based on the Amazon review, using Python, various machine learning models and Natural Languague Processing (NLP) techniques.
Developed predictive models based on Kaggle competition, 'House Prices - Advanced Regression Techniques', and evaluated the machine learning performance, using R as programming language.