• Authored a research paper “Air Pollution Prediction using AI & ML: A Case of Indian Cities” under Dr. Tarakeswara Rao• Contributed to the subspace of AQI prediction where time temporality of data is respected by designing a novel ML/AI framework• Compared Decision Tree algorithms with/without lagged variables using Expanding Window cross-validation, optimizing hyperparameters within each fold and justifying recommendations for optimal fold sizes based on data availability across cities• Explored the integration of exogenous factors to develop a hybrid forecasting model for cities adapting to issues in data availability

• Hyper-tuned Regression Based Models such as L1/L2 Regularization, XGBoost, Random Forest, SVMs in a price prediction model• Employed Linear Interpolation, One-Hot Encoding & Yeo-Johnson Scaling to pre-process various data types by using pipelines• Reduced Dimensionality of 340+ features using Principal Component Analysis; Performed Sentiment Analysis using TF-IDF

• Created a PowerBI Report visualising (10+) KPIs for placement seasons; Curated a data retrieval strategy for its yearly updation• Developed the front-end UI and back-end data pipeline of a Wix-based internship fair website, incorporating complex eligibility filters for 239+ profiles across 62+ companies https://ifairlogistics.wixsite.com/ifair-24; Facilitated 595+ registrations, resulting in a 66% surge in offers• Led the Research Arm (comprising of 33 students) towards bridging the gap between corporates and students of SVC; Formulated & Directed 3 Research Projects to convert potential employers; Supervised the Back-End Logistics & PR for 20+ companies