Rajanika Debnath

Research Assistant @Illinois Institute Of Technology

Chicago, IL, US

Collaborated with Professor Andre Bauer on research focused on time series forecasting, machine learning, and model benchmarking. The work aimed to evaluate classical and modern forecasting models on real-world datasets to improve predictive accuracy and model interpretability- Conducted comparative analysis between traditional methods (ARIMA, ETS) and hybrid deep learning models such as ES-RNN, NeuralProphet, and Transformer-based approaches- Performed data preprocessing, feature engineering, and model validation, analyzing model accuracy through metrics such as MAE, RMSE, and MAPE- Developed automated evaluation pipelines to benchmark computational performance and scalability across datasets (e.g, retail sales and M3/M4 benchmarks)- Supported the preparation of research documentation and visualizations for publication and presentation purposes.

Illinois Institute of Technology

Master's degree, Computer Science

Manav Rachna Educational Institutions

Bachelor of Technology - BTech, Computer Science

Delhi Public School - India

High School Diploma, Mathematics and Computer Science