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Indian Institute of Technology,Ropar
Data Scientist
June 13, 2026 – Present
RapidFort_Assignment
September 30, 2023 – October 1, 2023
GitaGPT2: An AI-powered chatbot employing the profound teachings of the Bhagavad Gita. Find insightful solutions based on its wisdom. GitaGPT2, powered by Llama2, generates meaningful responses to help navigate life's challenges.
View ProjectAcademicManagement-CLI-
February 9, 2023 – April 4, 2023
AcademicManagement-CLI- — GitHub repository
View ProjectStudent_Management_DEP_demo_webapp
January 14, 2023 – May 14, 2023
Student_Management_DEP_demo_webapp — GitHub repository
View ProjectLogistic_Regression_with_a_Neural_Network_mindset
January 8, 2023 – January 8, 2023
Logistic_Regression_with_a_Neural_Network_mindset — GitHub repository
View ProjectBag-of-words-based-matching-on-the-MNIST-fashion-datasets
December 2, 2022 – December 2, 2022
Bag-of-words-based-matching-on-the-MNIST-fashion-datasets — GitHub repository
View ProjectRailway-Reservation-System
October 25, 2022 – December 14, 2022
Railway reservation system designed to handle concurrent requests while making sure of consistency of data. Course project CS301: DataBase Management Systems
View ProjectCanny_Edge_Detector
October 21, 2022 – November 29, 2022
Build Canny edge detector from scratch.
View ProjectMetaCommerce_The-future-of-shopping-with-Metaverse
August 1, 2022 – October 21, 2022
Fully Immersive AR/VR Metaverse created for Flipkart Grid 4.0 Challange
View ProjectLive-Pose-detection-using-Google-Mediapipe-and-Various-ML-technique
July 19, 2022 – July 19, 2022
Live-Pose-detection-using-Google-Mediapipe-and-Various-ML-technique — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from AR/VR to AI chatbots and traditional software development. This indicates adaptability and a willingness to explore different domains. However, the candidate's experience level is 0, and the only listed 'experience' is a future role, making it difficult to assess cultural fit based on past professional interactions. The projects are primarily personal, which is common for entry-level candidates.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and no psychometric test results are available.