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aurelienmorgan/README.MD

My LinkedIn Account My Tableau Public portfolio

Hi ! Thanks for stopping by !

My name's Aurélien-Morgan. I'm French, based in Paris. So far I've lived and worked several years respectively in Finland, Germany, China (Guangdong province) and the USA (North Carolina). Since the early 2000's, I've specialized in Applied Data Management.

I've lead teams from small to very large. Among other things, I have been a major (Full stack) contributor to several corporate applications of 500k+ lines of code.

I am quite well versed in Java programming, am advanced in the usage of SQL, and am fairly knowledgeable in many other areas (C++, Scala, HTML/CSS/Javascript, Data Warehousing, noSQL, Distributed Systems, High Performance Computing, Continuous Integration / Continuous Deployment, Containers, Infra. as Code, etc).

However holder of an Executive MBA, I am still very much hands-on and geeky !

Dr. HOUSE typing

In my public repositories on GitHub, I focus on real-life everyday applications in the areas of Data Science, Machine Learning and Deep Learning (in R and Python).

For what I publish here, I prioritize on modularity and re-usability. I try to make my end-to-end projects as appealing, engaging, documented and easy-to-follow as possible.

I hope you enjoy browsing my GitHub !

learn O.S.I. know

Pinned

  1. abnormal_vibrations_watchdog abnormal_vibrations_watchdog Public

    Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.

    Python 12 2

  2. defect_detection_webservice defect_detection_webservice Public

    Surface Defect Detection as a Tensorflow/Keras model microservice container.

    Python 2

  3. french_text_sentiment french_text_sentiment Public

    Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)

    Python 1

  4. online_retail_growth online_retail_growth Public

    Laying some of the "Know Your Customers" / "Know Your Markets" fundations to strategizing on how to grow a business (from insight dug from the business data).

    Python 1

  5. edx-movielens edx-movielens Public

    Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'

    R