All students
Nathan Dalton Data Analytics track
Skills
- Python
- SQL
- CTEs
- Window Functions
- Excel
- Power Query
- Supervised Learning
- Unsupervised Learning
- ETL Workflows
- Tableau
- Git/GitHub
- Machine Learning
- Classification
- Clustering
- Data Cleaning & Wrangling
- Exploratory Data Analysis (EDA)
- SQL Joins
- Dashboard Design
- Project Management
- Pandas
- NumPy
- Seaborn
- Matplotlib
- Scikit-Learn
- Power BI
- Microsoft 365
- MS Visual Studio
- Streamlit
- Plotly
- XGBoost
- Generative AI
- LLMs
- APIs
- Prompting
- Statistical Testing
- Time-Series Forecasting
- Logistic Regression
- KNN
- Random Forest
- SVM
- SMOTE
Featured project
City Cycle
A team of three engineered a Python and Pandas data pipeline that processed 69.7 million Citi Bike trip records integrated with MTA ridership and delay data to identify transit-reliability gaps. The team built an XGBoost demand-forecasting model that achieved 32% higher accuracy than naive baselines. They also deployed a Streamlit/Plotly platform that modeled a $22 million, 250-station expansion with ROI and payback-period estimates.
Resume
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Beyond the resume
Clubs and activities
- Machine Learning & Data Science Club
- Peer Tutor at Baruch College
- Led 3-person airline passenger satisfaction project team
Meet Nathan
Tell us who you are and what the role is. Darion Cole from TTPR will follow up by email and introduce you to Nathan.