Data Science Intern — Thaddeus Ressource center
Oct 2025 – Present · RemoteHealthcare analytics and forecasting; Python pipelines with Supabase; Power BI dashboards for ops teams.
M.S. Data Science ’25, Pace University · AI/ML • Analytics • Automation
I turn messy data into decisions—building dashboards, ML models, and useful tools.
I'm a data science graduate student focused on ML, analytics, and product-minded automation. I enjoy shipping practical solutions—Zoho/Glide apps, FastAPI services, and reproducible notebooks. Recently, I’ve built a source credibility scoring pipeline, a delivery ETA predictor, and a student mental health app.
Healthcare analytics and forecasting; Python pipelines with Supabase; Power BI dashboards for ops teams.
Built a real-time mental-health app (Glide + Sheets) with NLP insights, onboarding, scheduling, and early-alert logic.
Contributed to launch strategy for "Don’t Die Alone"; designed pitch decks, branding, and social content using AI tools.
Automated class-action workflow discovery; built survey/outreach tracker; prototyped document-processing pipeline.
Patient care specialist; collaborated with clinical teams; recognized for reliability and empathy.
Upload your CSV or select a built-in dataset (Iris, Titanic, California Housing). Automatically detects the task, trains models (e.g., Random Forest, Logistic/Linear Regression), and exports reports (Markdown, PDF, HTML, images). Built with Streamlit, scikit-learn, and Gradio; deployed on Hugging Face.
Streaming replies, follow-up suggestions, file export (txt/md/docx/pdf/json/csv/py), and image generation. Built with Gradio; deployed on Hugging Face.
Glide + Sheets app with role-based views, NLP insights, and weekly pulse tracking.
Interactive dashboard in Tableau with filters, tooltips, and trend highlights.
Real-Time Portfolio Analytics Dashboard powered by Google Analytics 4 and Looker Studio — tracking résumé downloads, chatbot engagement, and email interactions.
Interactive AutoML Dashboard built with Python, Streamlit, and scikit-learn. Upload any CSV or explore built-in datasets (Iris, Titanic, California Housing), auto-detect classification or regression task, and export full reports in Markdown, HTML, or PDF format. Trains and evaluates ML models in real-time — no coding required!
I’m currently open to full-time opportunities, internships, and impact-driven collaborations in data science and AI.