I'm a data professional looking to make a positive impact via data science, data work and education.
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- 🏦 Data Scientist with experience at JPMorgan Chase & Co. and Annalect
- 📊 Data Analyst with experience at Prose
- 📝 Technical Writer with experience at Crash Course and DataLemur
- 🎓 B.S. Analytics from Rutgers University
- 🔎 Detail-oriented, dedicated, and driven
- 💻 Code: Python, SQL, Java, Lua, R, Max
- 📈 Analysis: Excel, Tableau, Looker
- 💭 Cloud: AWS S3, GCP/BigQuery, Jira/Confluence
- 🛠 Backend: Data Cleaning, Data Mining, Machine Learning, Django
- 📋 Frontend: Dashboarding, Technical Writing, Stakeholder Presentations
- 👩🏻💻 Technical Support Engineer at Sigma Computing
- Used classification algorithms to determine if a machine can differentiate between a band's musical styles
- Built and cleaned a music database using Spotipy and LyricsGenius APIs with Regular Expressions
- Developed logistic regression algorithm from scratch in Python and NumPy
- Implemented logistic regression as a single-layer neural network in PyTorch
- Compared performance with other binary classification models
- Resources: Report | Repository
- Researched methods of flood prediction and mitigation to combat climate change in NJ
- Analyzed time series flood data in Python and ArcGIS to predict future water levels and flood events
- Designed flood prediction and mitigation strategy using weather, geographic, and financial data
- Resources: Presentation | Repository
- Delivered data-driven marketing strategy within 6 days to increase Scholastic magazine subscriptions
- Resources: Presentation | Repository
- Created interactive program for bass players and producers to experiment with sound
- Resources: Image | Performance | Maxpat
Note: All projects were created in Python except for Bass Space, which is written in Max
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent