ALI ZARREH

Ali R. Zarreh

Data Scientist, Ph.D.
Enterprise Data Science
Data Science Center of Excellence
H-E-B

Skills

Analytical Skills

  • Big data analytics and data visualization
  • Machine learning at scale
  • Deep learning and Neural Network
  • Complete data science life cycle from data
    collection and architecture to deployment
  • Regression, Classification, Clustering for
    machine learning
  • Time-series forecasting and sequence
    analysis, Recurrent Neural Network
  • Network and graph analysis
  • Operational research and discreet
    optimization
  • Mathematical modeling and programming
  • Game theory and behavior forecasting
  • Image processing using Convolutional Neural
    Network
  • Natural language processing
  • Project management and team management

Data Skills

Programing languages: Python, SQL, Scala, Spark, MATLAB, SQL, R, JavaScript, C++, HTML, CSS
Visualization: Tableau, MS BI, Google Data Studio
Cloud platforms: Azure Databricks, GCP, AWS R studio
Database: Oracle, Teradata, DBFS
Statistical software: Minitab, Advanced Microsoft Excel, MS Project

Python Packages

Data wrangling: Pysaprk, Pandas, Numpy
Exploratory data analysis: plotly, seaborn, mathplotlib
Statistical analysis: mllib, scipy, statmodel
Feature engineering and selection: feature-engine, Category Encoders, MLxtend, imbalanced-learn
Machine learning: Sklearn, XGBoost, Spark Mllib
Deep learning: Keras, Tensorflow, Pytorch
Bayesian Gaussian process: GPY, sklearn
Hyperparameter Optimization: skitopt, hyperopt, optuna
Model tracking: mlflow
Deployment: Apache airflow
UI/UX: Dash, plotly, Django
Time Series: FPProphet, Statmodel, Keras RNN, pmdarima

Education

Ph.D. The University of Texas at San Antonio, 2019
M.Sc. University of Tehran, 2008
B.Sc. Azad University, 2005

Professional Experiences

2020-Present H-E-B, Data Scientist II
2016-2019 The University of Texas at San Antonio, Research Assistant
2013-2015 Reef Chemical, Manufacturing/Enterprise Data Analytics Manager
2009-2013 Isfahan Still Complex, Data Analyst

Teaching Experiences

2016-2019 The University of Texas at San Antonio
2014-2015 Naeini University
2008-2014 Azad University

Selected Publication

  • Bracho, A., Zarreh, A., Saygin, C., Wan, H., & Lee, Y. (2020). Evaluation of Dynamic Scheduling Policies against Cyber-attacks on an Open-Shop Manufacturing System using Simulation. Journal of Industrial and Management Optimization, Under Review.
  • Zarreh, A., Lee, Y., Wan, H., & Saygin, C. (2021). Evaluation of Cybersecurity in Cyber-Physical Manufacturing Systems with Game Theory Approach and Quantal Response Equilibrium. Emerging Science Journal, Under Review.
  • Zarreh, A., Lee, Y., Wan, H., & Saygin, C. (2021). Cybersecurity Risk Management Framework in Cyber-Physical Manufacturing Systems Using Failure Mode and Effects Analysis (FMEA) and Game Theory. Journal Risk Analysis, Under Review.
  • Al Janahi R., Lee Y., Zarreh A., Wan H. (2020). Effectiveness and Fitness of Production Line to meet customers' demand.Procedia Manufacturing, 51, 1348-1354.
  • Zarreh, A, Lee, Y., Al Janahi, R., Wan, H., & Saygin, C. (2020). Cyber-Physical Security Evaluation in Manufacturing Systems with a Bayesian Game Model. Procedia Manufacturing, 51, 1158-1165.
  • Shahin, M., Bouzary, H., Zarreh, A., Chen, F. (2020). Frameworks Proposed to Address the Threat of Cyber-Physical Attacks to Lean 4.0 Systems. Procedia Manufacturing, , 51, 1422-1430.
  • Nie, L., Zarreh, A., & Wan, H. (2020). A game-theory approach for optimizing of shop floor scheduling in virtual manufacturing network. Journal of Scheduling, Under review.
  • Al Janahi, R., Wan, H., & Zarreh, A. (2019). Implementing Kaizen through a Lean RACE Model: A Case Study. Proceedings of IISE. Presented at the Institute of Industrial and Systems Engineers (IISE) Annual Conference, Orlando, Florida.
  • Zarreh, A., Wan, H., Lee, Y., Saygin, C., & Al Janahi, R. (2019). Cyber-Security Concerns for Total Productive Maintenance in Smart Manufacturing Systems. Procedia Manufacturing, 38, 532-539.
  • Zarreh, A., Wan, H., Lee, Y., Saygin, C., & Al Janahi, R. (2019). Risk Assessment for Cyber Security of Manufacturing Systems: A Game Theory Approach. Procedia Manufacturing, 38, 605-612.
  • Zarreh, A., Janahi, R. A., Wan, H., & Lee, Y. (2019). Factors Contributing to Success in an Introductory Mechanical Engineering Course: A Data-Driven Case Study. Proceeding of ASEE GSW. Presented at the American Society for Engineering Education Gulf-Southwest Section, Tyler, Texas.
  • Zarreh, A., Saygin, C., Wan, H., Lee, Y., & Bracho, A. (2018). A game theory based cybersecurity assessment model for advanced manufacturing systems. Procedia Manufacturing, 26, 1255–1264.
  • Zarreh, A., Saygin, C., Wan, H., Lee, Y., & Bracho, A. (2018). Cybersecurity Analysis of Smart Manufacturing System Using Game Theory Approach and Quantal Response Equilibrium. Procedia Manufacturing, 17, 1001–1008.
  • Bracho, A., Saygin, C., Wan, H., Lee, Y., & Zarreh, A. (2018). A simulation-based platform for assessing the impact of cyber-threats on smart manufacturing systems. Procedia Manufacturing, 26, 1116–1127.