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Hi 👋 My name is Nat

I am a data scientist passionate about helping organizations make strategic decisions and meaningful impacts through data.

  • 🌍  I'm based in Boston
  • ✉️  You can contact me at [email protected]
  • 🚀  I'm currently working on A time series forecast for birdwatchers
  • 🧠  I'm learning Recommendation Systems, Deep Learning, A/B Testing
  • 🤝  I'm looking for full-time data science roles, as well as volunteering opportunities for social goods

Skills

PythonrlangGitMySQLPostgreSQLAmazon Web ServicesPyTorchTensorFlowGoogle Cloud

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Nhat Pham's Projects

awesome-readme icon awesome-readme

A guide to writing an Awesome README. Read the full article in Towards Data Science.

crowdfunding-analysis icon crowdfunding-analysis

Predictive Analysis of Success and Failure on Crowdfunding Platforms Kickstarter and Indiegogo. This is an ongoing project as part of my class DS5010: Programming for Data Science

ecommerce-marketplace-analysis icon ecommerce-marketplace-analysis

This repo serves as the code base for our DS5110 - Intro to Data Management Final Project. The datasets are provided by Olist on Kaggle.com. It contains anonymized records of 100k orders made on the platform from 2016 to 2018.

hartford_home_mortgage icon hartford_home_mortgage

The project assesses patterns of bank lending in Hartford’s neighborhoods and determine what banks are effective at investing in Hartford’s low income neighborhoods and which are not.

impacts-of-the-environment-on-us-stock-price icon impacts-of-the-environment-on-us-stock-price

Through EDA, we are interested in exploring how the environment indicators and stock market performance might be correlated. The project was submitted as part of the Texas A&M University's annual datathon, and received Honorable Mention.

medicare-fraud-analysis icon medicare-fraud-analysis

In this project, we analyze Medicare claim data and develop classification models in Python to detect fraudulent claims. The project was submitted to the University of Toronto's Management Analytics' annual datathon.

scalable-bird-detection-forecast icon scalable-bird-detection-forecast

This project aims to forecast weekly detection rate of every bird species in Massachussetts to assist birdwatching and conservation effort.

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