Skills

Scientific Python Stack

pandas, numpy, scikit-learn, statsmodels

Statistics

Inference, Reporting, Frequentist and Bayesian Methodology

Machine Learning

TensorFlow/Keras, PyTorch

Natural Language Processing

NLTK, spaCy

Experiment Design

A/B Testing

Docker

Production-Ready Data Products

Experience

Please see Resume for full history

 
 
 
 
 

Instructional Associate - Python Programming

General Assembly

Jun 2019 – Jun 2019 New York, NY
Returned to help teach Python programming and basic data science skills to UTC dX’s leadership program cohort
 
 
 
 
 

Instructional Associate - Python Programming

General Assembly

Oct 2018 – Oct 2018 New York, NY
Taught Python programming and basic data science skills to UTC dX’s leadership program cohort
 
 
 
 
 

Data Analyst

uBiome

Oct 2018 – Present New York, NY
  • Productionized Random Forest Customer Classification Model
  • Developed Internal Dashboarding Platform
  • Created ETL for Google Ads and Facebook Ads Reporting

Recent Posts

How to mirror a git repository while preserving history.

Setting up a WSL2 based Data Science environment

Projects

Capstone Project for General Assembly Data Science Immersive

Summary : This was a group project that presented many opportunities to engineer features and try out different visualizations and models. Bokeh was used for visualizing map data, and the XGBoost library was used for the models. There were additional considerations to be made due to the unbalanced classes, geospatial data, and missing data. Objective: Help the City of Chicago combat West Nile Virus spread by analyzing weather, previous spraying efforts, and mosquito trap data.

Recent Publications

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Contact

  • New York, NY