Performed large-scale data conversions, transferring raw data into standardized formats using Talend.
Collaborated with DE team on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
Monitored incoming data analytics requests, executed analytics, and efficiently distributed results to support business strategies.
Designed and developed a capsule-based deep learning model for emotion classification using EEG signals.
Developed and deployed an emotion classification NLP model using PyTorch, FastAPI, Firebase, and GCP.
Developed a 3D pose-detection model using skeleton data, giving state-of-the-art results on a huge 3D video dataset.
Designed an opinion mining system using OpenER which collects data using Twitter API and displays the results in colorful interactive visualizations using D3.js.
Developed an online Secure Paper Printing portal, Sprint, using ASP.NET to be used by Faculty Members in the University for efficient and organized paper printing.