Aasritha M.

Key Skills

Software

Don't disclose

Top Subject Matter

Machine Learning and Deep Learning

Digital signal Processing

C++ programming

Top Data Types

Image

Audio

Computer Code Programming

Top Task Types

Classification

Computer Programming/Coding

Freelancer Overview

Research Intern - EEG Signal Processing for Speech Imagery Decoding (IIT Bhubaneswar). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Machine Learning, Deep learning and signal processing. Education includes Bachelor of Technology, Indian Institute of Technology Bhubaneswar (2026). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

Labeling Experience

Research Intern - EEG Signal Processing for Speech Imagery Decoding (IIT Bhubaneswar)

Don't discloseClassification

Conducted EEG preprocessing and supervised learning workflows for imagined and spoken speech decoding using Python-based signal processing and machine learning. Performed electrode-importance analysis on 64-channel EEG signals to interpret neural contribution patterns using SHAP-based methods. The work involved preparing model-ready inputs from electrophysiology recordings and evaluating classification performance for speech imagery tasks. • EEG data used for supervised classification of imagined vs spoken speech • SHAP-based interpretability to assess electrode contribution • Signal preprocessing and feature/representation learning pipeline development • Model evaluation using classification metrics across decoding scenarios

2025 - 2025

Education

Work History