Dynamic and result-oriented Data Scientist & Engineer, Technical Trainer, Mathematician, and PhD in Computational Data-Enabled Science and Engineering with over 8 years of hands-on experience working and using Python, Matlab, Oracle Database, Structured Query Language, Data Analytical Tools, Monte Carlo Simulation and performing Global Learning Delivery. More than 8+ years of hands-on experience developing mathematical, statistical, econometric, and machine learning (ML) models and algorithms. My specializations are in Geospatial Data Analysis, Artificial Intelligence, Machine Learning, Oracle Database Management, Computational Biology, and Computer Model Simulation. I possess several years of hands-on experience with optimization algorithms and data engineering. More than 8+ years of experience teaching Undergraduate and Graduate mathematics and Data Analytics classes with courses ranging from Survey of Calculus, PreCalculus, Calculus 1, 2, & 3, College Algebra, Contemporary Mathematics, Linear Algebra, Differential Equations, Introduction to AI & Data Science, Machine learning and Numerical Analysis, to mention a few. I coach and mentor junior team members and help develop their technical, business, and communication skills. I use my quantitative and analytical skills to help proffer solutions to challenging scientific and business problems. I transfer my knowledge through the teaching of the next generation of professionals. Platform: GIT, GitLab, Github, BitBucket, Jira, Jupyter Notebook & Lab, PyCharm, Spyder, PyTorch, Tensorflow, Keras, Conda, Confluence, Kafka, Snowflakes, Terraform, Gurobi Languages: Python, R, C++, Bash, MPI, OpenMP, Unix/Linux, Shell Scripting, MatLab, (My)SQL, Snowflake, PySpark, HTML, Teradata, Kafak, MapReduce, Hive, Spark, Scala, and Hadoop. Analytics: Tableau, PowerBI, Alteryx, MS Excel, MS Word, MS PowerPoint, MS OneNote. Cloud: AWS, MS Azure, and Databricks