DataPhil17
👋🏾 Hi, I’m Philippe Louis Jr.
| **Aspiring Data Scientist | AI/ML Enthusiast** |
I am currently pursuing a Master’s in Applied Data Science at Syracuse University’s School of Information Studies (iSchool). With over 3 years of experience in data analysis, 1+ year in compliance reporting, and 2+ years in program development, I bring both technical expertise and strategic insight to my work.
Much of my professional career has been as a Science and Math teacher, where I approached teaching with the mindset of a data-driven problem solver, tailoring lessons to measurably improve student performance. As I transition into data science, I have secured a role as a Data Coordinator, advancing my career pipeline by leveraging machine learning and data storytelling to solve real-world challenges and deliver impactful insights.
Featured Projects
📝 NLP: Student Feedback Sentiment Analysis
Using NLP and machine learning to classify student feedback and uncover what drives satisfaction.
🎶 Machine Learning: Spotify Genre Prediction
Predicting music genres with machine learning models trained on audio features.
🏙️ Data for Social Good: NYC Eviction Trends
Mapping eviction patterns in NYC and analyzing their relationship to income and housing programs.
🩺 Predictive Analytics: Healthcare Outcomes
Building models to forecast patient readmission risk and improve healthcare efficiency.
📊 Dashboard Visualization: US Unemployment Trends
Interactive data dashboard tracking U.S. unemployment trends over the past decade.
About This Portfolio
This portfolio showcases my skills in:
- Machine Learning & AI: Predictive modeling with Python, TensorFlow, and scikit-learn
- NLP: Sentiment analysis, text classification, and explainable AI
- Data Visualization: Interactive dashboards with Tableau, Power BI, and Python
- SQL & Data Engineering: Database design and management for research and compliance
- Data for Social Good: Turning data into actionable insights for communities
⭐️ Check back soon — I’ll be actually getting these projects done and more as I continue my journey to becoming a Data Scientist.