Professional Experience

Education

Skills

• Coding: Python, SQL, Familiar with R & Java.
• Statistical Learning Methods: Traditional Regression, Classification & Clustering (SVM, KNN, K-means, Logistic Regression), Ensemble methods (XGBoost, EBM), Neural Network (DNN, RNN), Time Series (RNN, SARIMA), Recommender Systems, Reinforcement Learning (Thompson Sampling).
• Cloud & Developing Platform: Azure Databricks.
• Version Control: Git.

• Pricing: Cost-based, Consumer behavior.
• Supply Chain Management: Supply Chain Network Design, Competition, Production Strategy.
• Regulation Design: Environmental, Transportation, Healthcare Services.

Certificates

From Deeplearning.ai, IBM, Stanford University, University of Michigan and LearnQuest on Coursera and EdX platforms.

• Deep Learning,
• Java as a Second Language,

• Python for Data Science and AI,
• The Java Language,
• Machine Learning,
• Neural Network and Deep Learning,
• Data Visualization with Python,
• Databases and SQL for Data Science,
• Data Analysis with Python,
• Machine Learning with Python,
• Statistical Inference,
• Statistical Learning,
• Using Databases with Python,
• Convolutional Neural Network,
• Structuring Machine Learning Projects
• Writing Java Application Code,

Awards & Recognitions

• 2020: Winner of Air Canada AI Hackathon competition of 2020, Air Canada.
• 2019: Python, Statistics and SQL Gold Badges from HackerRank

Publications, Conference Proceedings & Presentations

1. Pazoki, M., & Samarghandi, H. & Behroozi, M. (2024). Increasing Supply Chain Resiliecy Through Pricing and Stipulating Transportation Quota Regulation, Omega. 103097.
2. Pazoki, M., & Zaccour, G. (2021). Dynamic Strategic Interactions between a Municipality and a Firm in the Presence of an Extended Producer Responsibility Regulation, Journal of Cleaner Production . 125966.
3. Pazoki, M., & Samarghandi, H. (2021). Regulating patient care in walk-in clinics. Omega, 99, 102200.
4. Pazoki, M., & Samarghandi, H. (2021). Word-Of-Mouth and Estimating Demand Based on Network Structure and Epidemic Models, European Journal of Operational Research . 291(1), 323-334.
5. Pazoki, M., & Samarghandi, H. (2020). Take-back regulation: Remanufacturing or Eco-design?. International Journal of Production Economics, 227, 107674.
6. Pazoki, M., & Zaccour, G. (2019). Extended producer responsibility: regulation design and responsibility sharing policies for a supply chain. Journal of Cleaner Production, 236, 117516.
7. Pazoki, M., & Zaccour, G. (2019). A mechanism to promote product recovery and environmental performance. European Journal of Operational Research, 274(2), 601-614.
8. Pazoki, M., & Abdul-Kader, W. (2016). Optimal disposition decisions for a remanufacturing system considering time value of products. Computers & Industrial Engineering, 99, 124-136.
9. Pazoki, M., Ghomi, S. F., & Jolai, F. (2012). A multiproduct dynamic model to design a converge–diverge supply network with supplier partnership considerations. Scientia Iranica, 19(6), 1911-1920.

1. Pazoki, M., & Abdul-Kader, W., “A comparative study to investigate the effect of number of sub-lots in a multi-stage multi-product flowshop lot-streaming problem with consistent sub-lot sizes: A casestudy”, Industrial & Systems Engineering Research Conference, Montreal, Canada, (June 2014).
2. Pazoki, M., & Abdul-Kader, W., “Considering holding cost in optimal core acquisition and remanufacturing policy under deterministic process times”, International Conference of Industrial Engineering and Operations Management, Bali, Indonesia, (January 2014).
3. Pazoki, M., Fatemi Ghomi, S.M.T., & Jolai, F., “A new approach in supply chain modeling”, The IEEE International Conference on Industrial Engineering and Engineering Management, Singapore,(December 2011).

1. “A mechanism to promote product recovery and environmental performance”, 2nd Conference of the EURO Working Group on Sustainable Supply Chains, Amsterdam, Netherlands, July 2018.
2. “Impact of Regulations and Horizontal Integration on Manufacturer Profitability”, Optimization Days, Montreal, Canada, May 2016.
3. “Optimal core acquisition and remanufacturing decisions with market-driven product acquisition policy”, CORS/INFORMS International Conference, Montreal, Canada, June 2015.
4. “Incorporating WIP cost and sorting returned products in a remanufacturing process”, CANQUEUE conference, Waterloo, Canada, August 2013.