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Planning & Learning
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Planning & Learning

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mdh266/README.md

AI/ML Engineer and Data Scientist based in New York with 10+ years of experience building and scaling production machine learning systems. I specialize in end-to-end development of machine learning and AI solutions, from data pipelines to deployed models, with a track record of delivering business impact. My work spans distributed systems (Spark, Python/Scala), optimization, NLP, econometrics, marketing and LLM-powered applications. I’ve led high-performing teams and built tools used by 100+ data scientists, blending hands-on engineering with strategic leadership.

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  1. TextClassificationApp TextClassificationApp Public

    Building and Deploying A Serverless Text Classification Web App

    Jupyter Notebook 19 10

  2. NYCBuildingEnergyUse NYCBuildingEnergyUse Public

    Creating Regression Models Of Building Emissions On Google Cloud

    Jupyter Notebook 19 6

  3. SQL-Practice SQL-Practice Public

    Solutions to Problems For SQL on Leetcode, Hackerrank & DataLemur

    373 100

  4. AirflowDataPipeline AirflowDataPipeline Public

    Example of an ETL Pipeline using Airflow

    Python 39 20

  5. RandomForests RandomForests Public

    Random Forest Library In Python Compatible with Scikit-Learn

    Python 14 6

  6. BayesMLE BayesMLE Public

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

    Jupyter Notebook