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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

Mark McAdam's Projects

any-nlp icon any-nlp

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

build-k-nearest-neighbors icon build-k-nearest-neighbors

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

col_calc icon col_calc

Cost of living calculator for unit 2 build week

cookbook icon cookbook

Collection of recipes, snippets, and cleverness where possible

data-engineering-batch icon data-engineering-batch

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 clearer picture of user behavior.

ds-unit-2-build-heroku icon ds-unit-2-build-heroku

This is a repo to hold files and information for my heroku app, it will be a combination of jupyter notebook and ipynb files

etl-cron icon etl-cron

this is the extract load transform function converted to run as a lambda function, starting with the blank-python repo from the aws docs

kondoboard-etl icon kondoboard-etl

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 database for rapid and precise full text search capabilities.

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