
IIIT(G) | Software Engineer | AI/ML/DL
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Assessing your cultural and operational fit
BISPL
Data Scientist
June 16, 2026 – Present
EEG-Emotion-Recognition-
June 2, 2026 – Present
EEG-Emotion-Recognition- — GitHub repository
View ProjectAlzheimer-s-Disease-Detection
April 11, 2026 – Present
Attention-Driven Transformer Approach for EEG Signal Classification in Early Alzheimer’s Disease Detection
View ProjectA-FILTER-DOMINATING-HYBRID-SEQUENTIAL-FORWARD-SEARCH-method-for-channel-selection-in-EEG-based-BCI-
April 24, 2022 – April 24, 2022
M.Tech Final Year Project
View ProjectEEG-Channel-Selection-for-Emotion-Recognition
September 4, 2021 – May 1, 2022
Developed an best EEG Channel Selection Model Using Technique like MIMR
View ProjectVisible-Light-Communication-Using-Android-Devices
September 4, 2021 – September 4, 2021
An application capable of sending and receiving data and control signals between android phones using flashlight.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on academic and research-oriented data science tasks, which aligns with roles requiring analytical depth. The diversity of projects is limited to specific areas of data science (EEG, emotion recognition, Alzheimer's detection). The single professional experience is directly in the target role, which is a positive indicator for cultural fit within a data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.