Machine Learning Engineer

Summary

Im a seasoned Engineer with close to 8 years of experience with Data Science, Machine Learning, Big Data, Python, Tableau and PLSQL programming. I am a Self-taught Programmer with a strong interest in Data Science, and Deep Learning Technologies.
Previously, I worked as a Graduate Research Assistant at Northern Illinois University for Database Management Department, where I enjoyed teaching and helping undergrads with Database Projects.
When Im not coding, I enjoy playing video games, I love hiking and exploring new places.
Competencies: Python 3.0, Apache Spark 2.4.5 with Python, Big Data, Machine Learning, Data Science, Tableau, Data Visualization, Oracle PLSQL, SQL, GitHub, GitLab and Agile Methodology (JIRA).
Cloud Services: AWS EC2, S3, Kinesis Stream Services (Data Stream, FireHose), EMR Cluster on Spark, RDS, Dynamo DB, Redshift, Lambda, Elasticsearch, Quicksight and ElasticCache.
Machine Learning:
Classification, Regression, Feature Engineering, Data Visualization (MatplotLib and Seaborn).
Deep Learning:
Deep Neural Networks (Hyperparameter Tuning, Regularization, Optimizations), Convolutional Neural Networks, Transfer Learning.
Tools: Jupyter Notebook, Google Colab , IntelliJ, PLSQL Developer, SQL Developer & Toad.
Libraries: Pyspark, Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Keras and TensorFlow 2.0
Im currently seeking full-time Job opportunities in the field of Data Science, and Machine Learning, so if youd like to work together, please feel free to contact me: Contact

Expectations

I would like to understand complex business flows and recommend Data-Driven solutions using Machine Learning and Data Science, that can scale the companies profitability.

Work in United States
Employment Preferences
Expected Base Salary

**0,000 USD

Academic Degree
Experience

Total Professional Experience

8 years

Startup Experience

no experience

Big-Tech Companies

no experience

Enterprise Experience

8 years
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Contacts

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