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healthsync-test-frontend
December 15, 2025 – December 15, 2025
frontend demo for healthsync
View ProjectHealthSync
October 23, 2025 – Present
AI-Powered Medical Transcription & Documentation System
View ProjectAI_TejinderSinghHunjan
September 15, 2025 – September 15, 2025
AIQ Space Ventures Prototype
View ProjectSpotify-Music-Recommendation-System
May 29, 2025 – September 15, 2025
Emulation of Spotify's ANNOY (Music recommendation system) using PCA-KMeans-KNN + TFIDF Vectorization
View ProjectFake-News-Detection-System
April 25, 2025 – September 17, 2025
Fake News Detection System using a fine tuned BERT. Has semantic understanding of text input, thus, has a lot higher accuracy than non NLP ML models
View ProjectML-From-Scratch
April 6, 2025 – April 7, 2025
A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like scikit-learn, TensorFlow, or PyTorch.
View ProjectCustomer-Churn-Prediction
March 26, 2025 – June 17, 2025
Customer Churn Prediction System using XGBoost Regressor, built on Telecom Industry dataset
View ProjectTradeVista
March 25, 2025 – September 18, 2025
A machine learning-based stock forecasting tool designed to provide accurate long-term stock predictions and real-time market insights. Lleverages ML models to analyze historical stock data and predict future price trends.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in Machine Learning and Data Science. The diversity of projects (NLP, recommendation systems, predictive analytics) suggests a broad curiosity and willingness to explore different domains within AI. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good technical communication.