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mdh266/README.md

Hi there 👋 I'm Mike

I am an Applied Machine Learning Lead in New York City that is always trying to learn new things and grow. I earned a PhD in Computational Applied Mathematics from the University of Texas at Austin in 2016 where my research was the intersection of numerical analysis, high performance computing and renewable energy. In grad school I spent most of my time studying discontinuous Galerkin methods and finite element methods for simulating photo-electrochemical solar cells. I was also a contributor to the C++ based finite element library deal.ii.

I tend to lean more towards to engineering side of data science and spend most of my time writing in Python, SQL, Scala & Bash. I am big fan of Apache Spark and have been using it extensively since 2017. Now days I am focusing on my learning as much as I can about Natural Language Processing, Deep Learning and Cloud Computing.

⚡ Fun fact:

For over 17 years I was a competitive athlete in Brazilian Jiu Jitsu, during which I won the World Championships and achieved the rank of 1st degree Black Belt from 2x Pan American, Champion Professor Dave Ginsberg. I was fortunate enough to have an amazing coach along with great mentors, sponsors, friends, teammates and students.

Pinned

  1. TextClassificationApp TextClassificationApp Public

    Building and Deploying A Serverless Text Classification Web App

    Jupyter Notebook 17 10

  2. NYCBuildingEnergyUse NYCBuildingEnergyUse Public

    Creating Regression Models Of Building Emissions On Google Cloud

    Jupyter Notebook 18 6

  3. SQL-Practice SQL-Practice Public

    Solutions to Problems For SQL on Leetcode, Hackerrank & DataLemur

    206 69

  4. AirflowDataPipeline AirflowDataPipeline Public

    Example of an ETL Pipeline using Airflow

    Python 31 19

  5. RandomForests RandomForests Public

    Random Forest Library In Python Compatible with Scikit-Learn

    Python 15 6

  6. BayesMLE BayesMLE Public

    Bayesian and frequentist statistics in Python with data sampled from a distribution in Scala

    Jupyter Notebook