SDE at Housing.com

Anadi Tiwari  • Peerlist

•	Researched and acquired daily, state-wise cases data for India from Jan’20-Jun’21 from Kaggle
•	Using the scikit library in Python, trained various supervised regression algorithms (e.g., KNN, SVM, Random Forest, etc.), generating models to predict daily positive cases for each state
•	Improved upon the above predictions using time-series forecasting models (VAR, ARIMA)
•	Trained an unsupervised learning clustering algorithm (K-Means Clustering) using the ARIMA model parameters to generate clusters of states
•	Interpreted the resulting clusters generated by the model to map to the real-world scenarios observed during the first and second wave of COVID-19 in India

COVID-19 Predictions using Machine Learning

•	Using Black Friday sales data from Kaggle, trained a KNN algorithm to classify products into their product categories
•	Generated models using different train-test-split and analysed their accuracy to determine best performance
•	Created a report for visualization of results obtained using the above models

Product Classification using K-Nearest Neighbour

• Designed and created interactive web pages using JavaScript, HTML and CSS.
• Developed a program that recommends movies based on the user’s preferences and ratings
• Gained practical experience of OOPS concepts such as Polymorphism, Inheritance, Abstraction and Encapsulation