Jason Pham

Projects

Background

Education

Blog

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Email

Technical Background:

• Algorithms
  • Written in Python
• Languages
  • Bash, Python, Go, Scala, Java, C++, Asm, SQL, Javascript, CSS, Html
• Data Science
  • Data Mining: BeautifulSoup, Selenium IDE, Scrapy, Imacros, Shell scripts
  • Data Analysis: Pandas, NumPy, Scipy, AWS Sagemaker, Dask, Spark/Hadoop, Jupyter Notebooks & Google Colaboratory, Tableau, SPSS Statistics, Excel VBA
  • Data Visualization: Matplotlib, Altair, Seaborn, Plotly
  • Machine Learning: SciKit-Learn, Xgboost, Lightgbm, Statsmodels, NLTK, Gensim, Keras, Tensorflow, OpenCV
• Database: Sqlite, MySQL, Postgresql, MongoDB
• Web Development: Flask, Django, Heroku, Node.js, Plotly, D3, Wordpress, OCI, AWS
• Cloud Infrastructure Automation: Docker, Ansible, Terraform
• Automation: Bash, PowerShell, Tmux, Keyboard Maestro, Imacros, Autohotkey

Business Ventures:

• JPAlex Holdings, LLC - Investment Company (Primarily Real Estate)
• Nylfamy, LLC - Ecommerce
• Peachtree Salon - Beauty Services
• Jpowerpc - Ecommerce

Work Experience:

• Georgia Tech - Sub Instructor (Data Science), T.A (Data Science), Tutor (Full Stack Web)
• Oracle - Cloud Infrastructure Consultant
• VA Hospital - Pharmacist
• Meritus Hospital - Pharmacist

Education:

• Doctor of Pharmacy - Shenandoah U. (Completed)
• Data Science Fellowship - Bloom Institute (Completed)
• Bachelor of Science - Georgia State U. (Completed)
  • Biology & Computer Science

Projects:

• Recommendation Engine for Spotify Using Supervised Machine Learning
  • https://github.com/Lambda-School-Labs/groovn-music-ds
  • Developed and deployed web recommendation API server to generate new Spotify playlist based on user’s previous listen history.
  • Tech Stack: Flask, Gunicorn, SKlearn K-nearest Neighbors
• Deployed an Experimental Web Application to Compare and Predict Tweets
  • https://extrajp2014-twitoff.herokuapp.com/
  • Application Demo: https://youtu.be/KPsPP50coS4
  • Tech Stack: Flask, SQL, and Basilica
• Deforestation Dashboard Site/App with Time Series Forecast
  • Utilized Time Series Forecast to Predict Worldwide Deforestation
  • Built in 4 days and collaborate in a team of eight developers
  • Tech Stack: Flask, SQL, Nodejs, Plotly, Statsmodels, Pickle
• Using Data Visualization To Monitor Disease Outbreak
  • Pertinent finding: rate of foodborne illnesses has been trending up in most counties in California from 2001 to 2015.
  • Tech Stack: Matplotlib, Seaborn, and Mpl_toolkits
• Predict Water Pump Failure in Tanzania using Machine Learning Model
  • 81% Prediction Accuracy Using Xgboost Model
  • Tech Stack: Sklearn Encoders, Xgboost, and Hyperparameters Tuning
• Predict Lending Club Loan Default Status
  • Performed ROC AUC Prediction Using Emsemble Method
  • Tech Stack: AWS SageMaker (process large dataset) & Sklearn Ensemble
• Atlanta Data Science & Business Intelligence Hackathon
  • Analyze and Predict Sale Lead Conversion
  • Tech Stack: Sklearn Encoders, Xgboost, Tensorflow, Keras

Interests

• Analytics, Automation and AI
• Research, Implement, Teach, and Repeat

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