Sarthak User

I’m a final-year Computer Science Engineering student with strong fundamentals in machine learning algorithms, statistics, linear algebra, and data structures & algorithms, backed by a CGPA of 9.0. I translate that theory into hands-on predictive modeling and evaluation using clear, experiment-driven workflows.

I’ve built and compared ML solutions like a Fake News Detection System that classifies articles using tokenization, stopword removal, and TF-IDF, achieving 94% accuracy with Logistic Regression and Passive Aggressive Classifier. I take pride in documenting experiments end-to-end—from data ingestion to prediction—using metrics like confusion matrix, precision/recall, and F1-score.

I also enjoy cloud and data engineering work: I designed a cloud-native YouTube Trending Data Pipeline on AWS using Medallion Architecture (Bronze → Silver → Gold), PySpark, and ETL orchestration with Step Functions, including data quality validation via Lambda and failure alerting. I’m now seeking an AI/ML Engineering fresher role to apply ML to enterprise-scale business problems under mentorship.