I am a Machine Learning and Deep Learning enthusiast who loves to work on complicated problems while also learning new stuff.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
swiggy-private
Data Scientist
June 20, 2026 – Present
Single-image-dehazing-using-improved-cycleGAN
January 7, 2021 – February 13, 2021
This is the code for the work "Single image dehazing using improved cycleGAN" published in the Journal of Visual Communication and Image Representation.
View Projectpersonal-expenses-app
September 12, 2020 – September 13, 2020
This is a Flutter app that is being developed for practice
View ProjectMachine-Learning-Engineer-Nanodegree
August 21, 2020 – September 19, 2020
Machine-Learning-Engineer-Nanodegree — GitHub repository
View Projectchatter-box-angular
July 31, 2020 – April 21, 2023
chatter-box-angular — GitHub repository
View Projectimage-descriptor
June 13, 2020 – December 8, 2022
This repository contains the work done as part of Made With ML Incubator. The goal of the project is to generate dense captions for images by learning visual representations from the rich text descriptions.
View ProjectAction-Recognition-Using-LSTM
March 7, 2019 – May 31, 2020
Code for Action recognition in hazy videos using LSTM's and Bi-directional LSTM's
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on academic and personal machine learning projects, primarily in computer vision and natural language processing. The future-dated experience as a Data Scientist aligns with the target role. However, the diversity of technologies outside of Python/ML is limited, and project descriptions are brief, making it difficult to fully assess breadth and depth of engagement. The 'personal-expenses-app' project using Dart/Swift/Kotlin/Objective C seems out of place with the primary ML focus, suggesting either broad but shallow interests or an older, unrelated project.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.