M.Tech in AI @ IISc, Bangalore
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Indian Institute of Science
Data Scientist
June 16, 2026 – Present
wordle-simulation
November 15, 2024 – November 15, 2024
wordle-simulation — GitHub repository
View ProjectPINN-for-Poisson-Equation
February 6, 2022 – June 11, 2022
This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
View ProjectRecommendation-System-Using-GNNs
October 28, 2021 – December 15, 2021
This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).
View ProjectMelanoma-Image-Augmentation-and-classification
October 28, 2021 – November 21, 2021
This repository deals with generating 'malign' synthetic samples from 'benign' samples using CycleGAN to mitigate class imbalance and detecting Melanoma using a new balanced skin lesion image dataset.
View ProjectStock-Market-Index-Prediction
September 10, 2021 – October 6, 2021
This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attention mechanism (DA-RNN) has been used in addition to it.
View ProjectNoise-Removal-from-Medical-Images
September 1, 2021 – September 28, 2021
In this repository, denoising of medical images has been performed using convolutional auto-encoder models.
View ProjectDifferential-Equations-using-Machine-Learning
August 17, 2021 – November 9, 2021
This repository deals with solving partial differential equations using Machine Learning.
View ProjectHuman-Face-Spoofing-Detection
August 11, 2021 – October 3, 2021
This repo proposes a spoofing detection system using Convolutional Neural Networks (CNN). The CNN model is very light-weight, easier and faster to load and run. It is ideally designed for real-time detection in embedded hardware.
View ProjectMusic-Speech-Classification
May 22, 2021 – October 5, 2021
Unsupervised Music Speech Classification using Gaussian Mixture Models (EM algorithm)
View ProjectNeural-Network-Backprop-using-C
May 21, 2021 – June 16, 2021
In this repo, the backpropagation algorithm in feedforward neural networks is implemented from scratch using C.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in advanced machine learning and deep learning research, which aligns well with an innovative and research-driven culture. However, all listed projects are personal, and there is no information on team collaboration or contributions to open-source projects, making a comprehensive cultural fit assessment difficult. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting potential data inconsistency or a very recent start.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approach, or communication style.