Aspirant Data Scientist || Google Certified TensorFlow Developer || Kaggle Expert
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National Institute of Technology Silchar
Data Scientist
June 15, 2026 – Present
LLM-Syn-Data-Gen
November 30, 2025 – December 1, 2025
LLM-Syn-Data-Gen — GitHub repository
View ProjectDurgance-W11_Graded-Assignment
January 28, 2024 – January 28, 2024
Durgance-W11_Graded-Assignment — GitHub repository
View ProjectUniversal-Job-Scrapper
August 6, 2023 – August 6, 2023
The following scraper can be used to scrape jobs on any website, even if the site is blocked for scrapping. Majorly focusing on Scrapping jobs from website and sending the link for the same to the respective mail ids.
View ProjectKaggle-Utility
July 22, 2023 – July 22, 2023
This repository has some of code snippet that can be used to fast pace the development when exploring through data
View ProjectCoding-Problems
December 18, 2022 – December 14, 2025
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
View ProjectBlog-Summarization
December 10, 2021 – December 11, 2021
Ussing Hugging Face Transformers , Summarizing the text data
View ProjectTomato_disease_pred
November 16, 2021 – November 19, 2021
Predicting the type of disease on a tomato plant using Tomato leaf
View ProjectDiabetes_Risk_Prediction
November 15, 2021 – November 16, 2021
A Machine Learning end to end project where the objective is to predict the risk of Diabetes in regular individuals, given the data about the health of the person.
View ProjectCultural Fit Analysis
The candidate's projects indicate a self-starter attitude and a focus on practical applications of machine learning. The diversity of projects, from disease prediction to text summarization and job scraping, suggests a broad interest in problem-solving using data science techniques. The single listed experience as a 'Data Scientist' at a National Institute of Technology, while current, lacks detail regarding responsibilities and achievements, making it difficult to fully assess alignment with a senior role. The candidate's experience level is listed as 0, which contradicts the 'Data Scientist' role and suggests this is an entry-level or academic position. This indicates a potential mismatch for a senior-level Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.