Pritam User

I've built data-driven applications in Python, SQL, and Flask that turn raw records into usable reports and decisions. My work combines data extraction, cleaning, analysis, and API development.

For an IT Asset Management System, I processed 1,000+ records from six source sheets with Pandas, applied normalization rules to identify anomalies, and loaded clean data into PostgreSQL. I built REST APIs and an HTML/CSS interface for tracking nine asset categories across 20+ locations, reducing manual data collection time by 60%.

In a Twitter Sentiment Analysis project, I trained and evaluated three classification models using Scikit-learn and TF-IDF. By preparing text data with Pandas and NumPy and using five-fold cross-validation, I improved prediction accuracy from 74% to 87%+ and deployed the model as a Flask REST API tested across 500+ inputs with zero failures.

I'm a Computer Science graduate from KIIT University and communicate findings clearly through documentation, reports, and presentations. I'm eager to build my career in data analytics through hands-on, ambiguous, data-driven work.