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Achievement: YOLOAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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Mark-McAdam/README.md

Data scientist and machine learning engineer with a passion for learning and applying new technologies.

I look forward to deploying interactive machine learning models, architecting systems in accordance with the AWS well-architected framework, and bringing my experience with information security to your business.

It is a dream come true for me, being able to focus my studies on machine learning and the underlying technologies over the last nine months.
Expertise Python (NumPy, Pandas, Scikit-learn), Amazon Web Services, Elasticsearch, SQL, NoSQL
Frameworks FastAPI, Flask, Keras, Tensorflow, Plotly Dash, Elastic Beanstalk, Docker, Linux
Skills Natural Language Processing, Exploratory Data Analysis, Predictive Analytics, Machine Learning, Linear & Multivariate Regression, Information Security, Dev-Ops and Deployment

Previously I worked with: Full Stack Website Development - PHP - HTML - Javascript - CSS - LAMP Stack

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  1. kondoboard-etl kondoboard-etl Public

    Kondoboard - job search website aggregation. Extracts data from multiple job search website API, transforms the information into a common data structure,loads the uniform data into an ElasticSearch…

    Jupyter Notebook

  2. any-nlp any-nlp Public

    How to approach any Natural Language Processing (NLP) problem using Keras, Tensorflow, and Glove Vectors.

    Jupyter Notebook

  3. Data-Engineering-Batch Data-Engineering-Batch Public

    Takes product reviews and performs natural language processing to provide sentiment analysis. The new insight gets combined with matching product information in the central database to provide a cl…

    Python 1

  4. Build-K-Nearest-Neighbors Build-K-Nearest-Neighbors Public

    Implementation of K-Nearest Neighbors algorithm rebuilt from scratch using Python. Comparison to the Sci-Kit Learn implementation included.

    Jupyter Notebook

  5. spark-emr-airflow spark-emr-airflow Public

    Python