Implemented a Flask-based web application automating PostgreSQL connectivity & table retrieval, slashing manual data handling time by 95%. Enabled spatial analysis workflows, producing coefficient maps & visualizing spatial patterns based on shapefile inputs

Engineered a scalable and secure customer data management system that handled over 1 million customer records using MongoDB as a NoSQL database. Utilized Mongoose for Object Data Modeling (ODM), reducing data retrieval time by 43%.

Constructed a scalable inventory management system for a retail business handling over 100,000 product entries, using PostgreSQL as database. Integrated Spring Scheduler for automated low-stock alerts, reducing stockouts by 67%.

Analyzed storm-event narratives from NOAA Database to gain insights into severe weather characteristics and impacts using Python and Pandas. Performed sentiment analysis on newspaper articles with NLTK to assess public perception and media biases regarding storm events.

Developed a dengue outbreak prediction model leveraging rainfall and temperature data, achieving 98% accuracy, 100% recall, and 97% precision with advanced machine learning algorithms (Random Classifier, Logistic Regression), and utilized Pandas and NumPy for data preprocessing. Conducted comprehensive geospatial analysis using GeoDa.

Developed an advanced image recognition application by integrating Google Vision API with custom machine learning models, utilizing RESTful APIs for seamless data exchange. Achieved 95% accuracy in facial and label recognition, improving model precision by 23% through custom model fine-tuning and optimized algorithm integration.