Building intelligent applications that transform raw data into business decisions. Specializing in AI, Machine Learning, NLP, and Data Analytics — from medical diagnosis to customer intelligence.
I'm a passionate AI & Data Analytics developer with a background in Data Science and Business Analytics — currently pursuing my BBA at Rider University with a 3.8 GPA and building intelligent applications that turn raw data into real business value.
My work spans end-to-end machine learning pipelines, NLP applications, and interactive data dashboards that tackle real-world problems — from predicting cancer diagnoses with 98.2% accuracy to automating executive KPI reports using Generative AI, to building live Google Analytics dashboards in Power BI.
I'm passionate about the intersection of Generative AI and business intelligence. I also bring hands-on experience as a Research Assistant on a National Science Foundation-funded climate project and as a Tutor teaching Excel and Business Data Analytics to fellow students.
End-to-end applications combining data science, machine learning, and web development
An intelligent business analytics tool that transforms raw sales data into executive-ready KPI reports — complete with trend analysis, AI-generated insights, and automated email delivery.
Business teams waste hours manually preparing sales reports and meeting summaries from scattered data.
Streamlit dashboard that auto-detects columns, generates trend charts, and emails PDF reports with one click.
Meeting prep time cut from hours to minutes. Automated week-over-week insights delivered to stakeholders.
A powerful NLP pipeline that automatically clusters any customer review dataset and performs sentiment analysis — works for products, restaurants, services, or social media.
Companies receive thousands of unstructured reviews making it impossible to manually extract trends and sentiment.
Universal NLP pipeline: spaCy lemmatization → TF-IDF vectorization → K-Means clustering → TextBlob sentiment scoring.
Processes up to 3,000 reviews per run. Groups into up to 10 topic clusters with per-cluster sentiment breakdown.
Interactive Streamlit webapp exploring 120+ years of Olympic history — from medal tallies to athlete age distributions and gender participation trends.
Over 135,000 Olympic athlete records spanning 51 games are complex and hard to explore without interactive tools.
Dynamic filtering webapp for medal tallies, heatmaps, athlete distributions, and men-vs-women trends.
Four analysis views: Medal Tally, Overall Stats, Country-wise, and Athlete-wise — all interactive.
A Flask-based medical AI tool using Support Vector Machine to classify breast tumors as benign or malignant — achieving 98.2% accuracy on the Wisconsin dataset.
False-positive cancer screenings lead to costly, unnecessary surgeries. Doctors need reliable ML decision support.
Flask web app with SVM classifier trained on 569 patient records. Both ANN and SVM evaluated — SVM won.
98.2% accuracy. Real-time predictions with confidence scores reducing unnecessary surgical interventions.
A full-stack event discovery platform for Rider University — students browse, filter, and submit campus events, with an admin dashboard for moderation and an organizer portal for tracking submissions.
Campus events are scattered across emails, Instagram, and flyers — students miss events they'd love, and departments see low attendance.
Centralized React web app with category filtering, @rider.edu email verification, admin approval workflow, and organizer status tracking.
Live at rider-eventhub.netlify.app. One hub for all campus events — searchable, filterable, mobile-friendly, and admin-controlled.
A conversational AI chatbot demo built with Streamlit and powered by the Claude API — showcasing how generative AI can be integrated into a clean, interactive web interface.
Explore how Claude AI can be embedded into a Streamlit app to create a responsive, intelligent chat experience.
Built a lightweight chat interface in Python using the Anthropic SDK, with conversation history, styled message bubbles, and real-time AI responses.
A working demo that proves how quickly a functional AI chat interface can be built end-to-end using modern generative AI tools.
A live, interactive Google Analytics dashboard built in Power BI using API integration, advanced DAX measures, and intuitive visualizations — achieving 95%+ data accuracy.
Marketing and business teams struggle to monitor real-time web traffic, user behavior, and engagement metrics in one place.
Power BI dashboard connected via Google Analytics API with complex DAX measures for engagement rates, session trends, and user conversion patterns.
95%+ data accuracy. Live KPIs including traffic sources, bounce rates, and geographic performance — updated in real time.
An interactive Streamlit web app for exploring Olympics history — medal tallies, country-wise performance, athlete statistics, and participation trends spanning decades of data.
Olympics data is vast and scattered — hard to explore trends, compare countries, and surface athlete-level insights in one place.
Built an interactive Streamlit dashboard with dynamic filtering by year and country, visual heatmaps, and athlete-level breakdowns.
Rich visual storytelling of Olympics history — from overall participation trends to individual athlete performance across sports and events.
Industry-recognized credentials validating my data analytics and BI expertise
Completed a rigorous 12-course specialization covering the full BI pipeline — from data cleaning and SQL to advanced Tableau visualization, business analysis, and data storytelling.
Certification covering the data ecosystem: databases, data warehousing, Tableau software, data management principles, and the full lifecycle from raw data to actionable business insights. Achieved a grade of 98.22%.
Key skills and concepts developed through coursework at Rider University
Watch the projects in action — real demos, real data
Full walkthrough of the GenAI KPI dashboard with Super Store sales data, trend analysis, AI-generated insights, and automated PDF report delivery.
Demonstration of the NLP pipeline: text cleaning, K-Means clustering, sentiment tagging, and per-cluster visualization.
Customer-first analytics demo showcasing real-time interactive insights and data-driven recommendations.
Extended demo showing advanced clustering configurations and email report generation workflow.
Full walkthrough of the Rider University campus event hub — browsing, filtering, submitting events, and the admin moderation dashboard.
A demo of a conversational AI chatbot built with Streamlit and the Claude API, featuring a clean chat interface and real-time AI responses.
Walkthrough of Google Analytics for tracking website traffic, user behavior, and key performance metrics to drive data-informed decisions.
Interactive walkthrough of the Olympics Data Explorer: medal tallies, country heatmaps, athlete stats, and participation trends built with Streamlit and Python.
A complete overview of my education, projects, skills, and experience in one document.
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Rider University
Data Analytics & AI
Python · ML · NLP
Analytics · BI Tools
98.2% ML Accuracy
Medical AI Project
4+ Production Apps
GenAI · ML · NLP
Data Analyst · ML Engineer
AI / BI Roles
DataFest 2025
Data Analytics Competition
I'm actively looking for data analytics, AI, and ML opportunities.
Let's talk — I'd love to connect!