Machine Learning Engineer
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.
Classification, Regression, Feature Engineering, Data Visualization (MatplotLib and Seaborn).
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
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
Expected Base Salary
Total Professional Experience
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