
CS @ IIITD
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IIITD
Data Scientist
June 25, 2026 – Present
GastroGenie
January 26, 2025 – July 12, 2025
GastroGenie is an open-source recipe recommendation system that leverages Retrieval-Augmented Generation (RAG) techniques to provide personalized culinary suggestions. By integrating proprietary data from RecipeDB, GastroGenie offers users tailored recipe recommendations based on their preferences and inputs
View Projectdish-nutrient-simplifier
December 14, 2024 – January 1, 2025
It provides a collection of ingredient from diverse cuisines worldwide including their enhanced profile (like gluten-free, raw, cooked). It includes detailed ingredient lists and nutritional profiles for each ingredient, allowing users to explore dishes that match their dietary preferences.
View ProjectPlaySense
October 20, 2024 – December 25, 2024
Developed a personalized game recommendation system combining K-Means clustering and Nearest Neighbors algorithms to suggest games based on user preferences and game attributes. The system mitigates decision paralysis by offering tailored recommendations using game features like price, platform, genres, and release year. We implemented content-base
View ProjectCGAS_Assignment_1
September 7, 2024 – September 8, 2024
Web Scraping using BeautifulSoup in Computational Gastronomy which deals with the Data that is present on recipeall website and plotting some relevant graphs
View Projectleetcode_automatic_submission
September 1, 2024 – September 3, 2024
automatic daily leetcode submission using selenium
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, some of which align with data science (e.g., recommendation systems, web scraping). However, the breadth of technologies used (including significant front-end development) suggests a broader interest beyond a focused Data Scientist role. The single listed experience as 'Data Scientist' at IIITD is current and starts in the future (2026), indicating a lack of professional experience in the target role. This raises concerns about immediate cultural fit for a senior-level Data Scientist position requiring established industry practices and team collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse personal projects, but there is no information on collaboration, problem-solving approaches, or communication style.