Machine Learning Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quick-tutorials-for-pytorch
February 26, 2024 – September 29, 2025
Just a refresher on pytorch before taking any deep learning project.
View ProjectProtein-Feature-Engineering-Framework-for-AMPylation-Site-Prediction
February 3, 2024 – May 22, 2024
Protein-Feature-Engineering-Framework-for-AMPylation-Site-Prediction — GitHub repository
View ProjectXAI-for-Energy-Prediction-and-Anomaly-Detection-on-GEP-dataset
November 18, 2023 – November 18, 2023
This repository contains code for our short paper. DOI - https://doi.org/10.1145/3600100.3626638
View ProjectEnergyTS-GANomaly-with-Parallel-Reconstruction
November 16, 2023 – June 14, 2024
Code for our paper "Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection" and its extension.
View Projecthardikprabhu.github.io
August 22, 2023 – November 30, 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
View ProjectApplication-of-Gaussian-Process-for-designing-a-CNN
May 6, 2021 – May 6, 2021
Application-of-Gaussian-Process-for-designing-a-CNN — GitHub repository
View ProjectMathematical-Foundations-OF-Principal-Component-Analysis
October 22, 2020 – May 5, 2021
Mathematical derivation of the Principal Component Analysis and its python implementation.
View ProjectTemenos-Doc2script
July 21, 2020 – August 25, 2020
Mapping functionality script to documents using LDA
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, indicating a strong drive for independent learning and exploration in data science. However, there is no information on collaborative projects, open-source contributions beyond personal repositories, or community involvement, which limits the assessment of cultural fit for a team-oriented environment. The focus on academic/research projects aligns well with roles requiring deep technical investigation and innovation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.