PROFESSIONAL SUMMARY Experienced in utilizing data science in industries such as Finance, Healthcare Medical Devices, Electronics, Telecommunications, Automotive, Food Services, Travel, Oil and Gas, and Facilities. Managed in environments with Big Data, Stochastic Modeling, Data Warehouse, Data Lake, Data Mart, Data Schema optimization, MongoDB, JSON API, BSON, Node.js, Neo4j, Cypher, NoSQL, Excel, SQL, VBA, SAP, R, Python (NumPy, Pandas, Matplotlib, Seaborn, Plotly, Cufflinks, Scikit-learn, Panda Series, Panda DataFrames, Panda Time Series, Regular Expressions, NLP NLTK tokenization, tableau, and time-series, tensorflow,deep learning, keras, HBase, Hadoop EDUCATION PhD and Master’s, Computer Engineering, Queen’s University, Canada: Stochastic modeling, Probability Theory, Queuing Theory, Discrete Event Simulation, Monte Carlo Simulation, Simulation and mathematical modeling, Artificial Intelligence (AI) MBA in Project Management, George Washington University School of Business Bachelor degree in Computer Engineering, The University of British Columbia, Canada Lean Six Sigma Master Black Belt Certification, Motorola, USA Experience with Cloud, Java Script, Programming Paradigms, Big Data, Finance, Tableau, and Time Series