Transforming data into actionable insights and intelligent solutions.
I'm a data analytics and machine learning professional with a Master's in Electrical and Computer Engineering specializing in ML and AI from the University of Florida. My expertise lies in transforming complex datasets into actionable business insights, building predictive models, and developing data-driven solutions.
With experience at IFAS and Wipro, I've worked on diverse projects ranging from ETL pipeline development to creating interactive dashboards that drive decision-making processes. I'm passionate about solving real-world problems through data science and machine learning.
MS in Electrical and Computer Engineering
University of Florida
(GPA: 3.7/4.0)
Machine Learning Engineer at IFAS
Software Engineer at Wipro
Research on AI for Leaf Wetness Detection
Published in Sensors 2024
Gainesville, Florida, USA
Smartphone Sentiment Analyzer: An end-to-end data science project that collects Twitter data to analyze and visualize consumer sentiment toward competing smartphone brands with interactive dashboards and NLP-powered insights.
An end-to-end data science solution that helps small businesses optimize their inventory management through demand forecasting, inventory modeling, and interactive visualizations—potentially reducing costs by up to 30% while improving service levels.
Developed MobileNetV2 network with 94% accuracy in pneumonia classification from X-ray images, optimized for resource and data constraints, and created an interactive application with explainability features.
Analyzed 100,000+ transactions across 32,000+ products, identified 4 high-value customer segments accounting for 70% of revenue.
Analyzed 3,000+ movies (1980-2022) to identify profitability factors, created interactive Power BI dashboard for visualizing trends by genre, studio, and budget.
Built a machine learning pipeline for predicting credit card defaults with 77% ROC-AUC score, created visualization dashboard highlighting customer risk segments.
Developed ML models to predict 30-day hospital readmissions for diabetic patients, demonstrated potential cost savings of $450,000 per 1,000 patients.
Analyzed 50,000+ transactions to identify sales patterns and product correlations, created Tableau dashboards with business recommendations to increase sales by 23%.
Looking for full-time positions in data science, machine learning, and analytics roles.
Available for contract work or freelance data projects with flexible scheduling.
Interested in collaborative research projects, particularly in ML and computer vision.
Open to mentoring aspiring data scientists and providing educational guidance.
Feel free to reach out to me using any of the contact methods below or by filling out the contact form.