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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.

License: Apache License 2.0

Dockerfile 13.91% Shell 30.34% Python 55.76%
apache-airflow aws-emr aws-redshift data-engineering-pipeline docker

data-engineering-batch's Introduction

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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