
CSE@IIIT Delhi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIIT Delhi
Data Scientist
June 20, 2026 – Present
Leetcode_Solutions
May 19, 2022 – May 19, 2022
This Repository contains all the leetcode practice solutions.
View ProjectRecall-Java
June 13, 2021 – June 23, 2021
This Repository contains java files for recall.
View ProjectReal-vs-Random-Graph-Analysis
January 30, 2021 – February 20, 2021
This repository contains graph analysis for Us flight data.
View ProjectDiabetes-Prediction-using-different-Machine-Learning-and-Ensemble-Classifiers
December 27, 2020 – December 27, 2020
This repository contains different modes for Diabetes Prediction using different Machine Learning and Ensemble Classifiers.
View ProjectMeal-Classification-and-Recipe-Recommendation-system
December 26, 2020 – December 26, 2020
This repository contains files for Meal Classification and Recipe Recommendation system. Which was developed in the course of Food in Data Science.
View ProjectUnsupervised-Clustering-and-Visualization
December 24, 2020 – December 27, 2020
This repository contains different clustering methods and cluster visualisation.
View ProjectEnhanced-Copy-Mutate-model-to-genetate-new-recipes.
December 23, 2020 – December 27, 2020
This repository contains enhanced version of copy mutate model of recipe generation as well as its visual analysis.
View ProjectFood-recipe-Scrapping-and-Analysing
September 24, 2020 – December 27, 2020
This repository contains Food recipe Scrapping from BBCgoodfood Website and Analysing the world recepies.
View ProjectCompetitive-Programming
June 4, 2020 – May 19, 2022
Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and others.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science, which aligns with a proactive and self-driven culture. However, the projects are predominantly academic/personal, and there is only one listed professional experience which is current and future-dated, making it difficult to assess real-world team collaboration or project delivery experience. The diversity of projects within data science is good, but the overall breadth of technologies outside of core data science tools is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.