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With an MTech from IIT Madras, my journey has led me to Fourth Frontier, where I leverage deep learning to drive innovative solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fourth Frontier
Data Scientist
June 16, 2026 – Present
personalized-learning
May 12, 2025 – June 2, 2025
personalized-learning — GitHub repository
View ProjectemotionRecognition
February 20, 2019 – February 20, 2019
Emotion recognition from short audio signals using RNN with MFCC and delta features.
View ProjectjunctionPredictionFromGeneSequence
February 17, 2019 – February 18, 2019
Splice junction prediction from gene sequences using recurrent neural networks
View ProjectIDCBreastCancer_histopathologyImages_deepResidualLearning
January 28, 2019 – June 19, 2019
IDC prediction in breast cancer histopathology images using deep residual learning with an accuracy of 99.37% in a subset of images containing a total of 7,500 microscopic images.
View ProjectPneumonia-diagnosis-using-deep-residual-learning-with-a-classification-accuracy-of-98.22
October 8, 2018 – August 8, 2019
Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.
View ProjectTesseract_ICR-Sheets
August 4, 2018 – August 4, 2018
A model was trained using Google handwritten Fonts using a text corpus containing only digits ranging from 0-9. The main aim was to recognize ICR sheets from such trained data. Our model gave an accuracy of 94.6% using Tesseract Version-4.
View ProjectEmotion-Recognition-from-speech-signals-over-the-TESS-dataset
March 21, 2018 – March 22, 2018
Emotion Recognition using matlab (Machine Learning using SVM and Random Forest)
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, demonstrating strong technical curiosity and initiative. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit. The projects align well with a Data Scientist role, particularly in areas requiring deep learning expertise.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical execution and problem-solving.