ADEL KHODAKARAMI
Bothell,WA
Summary
Determined and well-rounded individual with more than 5 years working as Scientist within applied science in tech industry. Sharp and focused professional offering skills in optimization, ML, and problem solving.
Overview
13
13
years of professional experience
1
1
Certification
Work History
Senior Applied Scientist
Amazon
11.2022 - Current
- Led meticulous development of cutting-edge optimization, simulation, and forecasting models, strategically engineered to elevate the efficiency of in-house grocery operations for order fulfillment. This encompassed a comprehensive overhaul aimed at refining the intricate process of item-centric order picking
- Developed the formulation and implementation of advanced algorithms, specifically utilizing Column Generation and Large Neighborhood Search (LNS) methodologies to model and solve grocery pick planning model. The developed algorithms enhanced the runtime over originally developed Vehicle Routing Problem (VPR) formulation and caused annual 1.5 millions $
- Crafted and implemented a robust causal model designed to discern and attribute intricacies within the inbound operations of the grocery warehouse. This model not only facilitated a deeper understanding of the underlying factors influencing efficiency but also served as a strategic guide for enhancing the overall performance and and responsiveness of inbound processes planning.
Principal Algorithm Engineer
Kinta AI
10.2021 - 11.2022
- Led design, develop, and implementation of the scheduling algorithm for producing a production plan
- Developed 'Constraint Programming' models to enhance the existing algorithm using OR-Tools
- Worked closely and regularly with product managers on a fast-paced feature development
- Close communication and collaboration with development team members and comply internal software development processes and procedures.
Sr. Operations Research Scientist
Apple
10.2019 - 10.2021
- Developed, coded and managing production level optimization tools, algorithms, and ML models supporting sales operations
- Closely collaborating with business owners/partners and prepared business requirement documents
- Continuously collaborating with front-end/back-end engineers to create and maintain databases, pipelines, and UIs
- Designed/Developed a carbon-optimization model to minimize the carbon emission through strategical shift between air and ocean modes of transpiration
- Designed/developed/deployed a state-of-the-art decision assist production tool to optimize products transferring between retail stores
- Used a network optimization model and achieved more than 100s of hours reduction in the decision process and saved hundreds of thousands of dollars by shortening travelled distances
- Managed/developed a retail fulfilment logistics tool that makes the final recommendations on logistics decision on all the products for all apple retail stores
- Developed/maintained a huge code base pipeline that handle data connections, data processing, optimization models, and publish the reports
- The tool provides the crucial invaluable production piece in managing the retail fulfilment
- Consulted/collaborated a machine learning model to identify the missing product
- The resulted model succeeds in achieving hundreds of thousands of dollars saving by reducing the unnecessary workload
- Developed/implemented OR, AI, and ML models, object-oriented codes, version control, memory performance profiling and automated testing.
Sr. Operations Research and Advanced Data Scientist
BNSF Railway
02.2017 - 10.2019
- Developed decision support tools using optimization and forecasting models to solve business problems
- Communicated and interacted with internal customers to understand the business problems and identified opportunities for enhancement proposed solution techniques
- Led/Developed an end-to-end forecasting models to predict the trains length
- Led data preparation, explanatory analysis, and feature engineering of ML models used for empty car forecasting and repositioning optimization
- Managed the project of empty car repositioning optimization that optimally assigns empty cars to customers
- Managed/Developed intermodal hubs supply forecasting models and supply simulation
- Developed simulation models for intermodal hubs
- Led developing and designing a model for daily evaluation of rail health and detecting the defected rails based on Geo-car using random forest model
- Led data analysis on Positive Train Control (PTC) system and developed analytical models to improve PTC performance.
Graduate Research Assistant
Texas A&M University – Department of Civil Engineering & Texas Transportation Institute
01.2011 - 01.2016
- The Southwest Region University Transportation Center (SWUTC) Ph.D
- Fellowship: Developed optimization models (Mixed Integer Linear, and Stochastic Models) for US Army Corps of Engineers to obtain the optimal maintenance plans for US waterway network
- The National Cooperative Freight Research Program (NCFRP): Developed multimodal freight transportation performance measures, to support MTS maintenance investment decision making.
Education
PhD - Transportation Engineering
Texas A&M University
01.2016
Minor Degree - Applied Statistics
Texas A&M University
01.2016
Master of Science - Transportation Engineering
Sharif University of Technology
01.2006
Bachelor of Science - Civil Engineering
Bu-Ali Sina University
01.2003
Skills
- Python
- SQL
- GRUBI
- Cplex
- FICO Xpress
- R
- Java
- C
- MATLAB
- Tableau
- Power BI
- Azure ML Studio
- Statistical Inferences
- Design of Experiments
- Applied Categorical Analysis
- Statistical Modeling
- Linear/Integer Programming
- Non-Linear Programming
- Probability Theory
- Machine Learning
- Hypothesis Testing
publications
- Using a Prospect Theory Approach to Studying the Car-Following Model, Advances in Human Aspects of Transportation, pp.287-300
- Modeling Maintenance Project Selection on a Multimodal Transportation Network, Transportation Research Board, 93rd Annual Meeting, 2014.
- Waterway maintenance budget allocation in a multimodal network, Transportation Research Part E: Logistics and Transportation Review 146, 102215
- Budget Allocation for Dredging Projects Selection to Maximize the Waterway System Capacity Improvement, Transportation Research Board, 92nd Annual Meeting, 2013.
- Passenger Origin-Destination Matrix Estimation Employing the Path-Based Formulation of Transit Assignment Problem, Transportation Research Board, 89th Annual Meeting, 2010.
Certification
- Machine Learning- Johns Hopkins University by Coursera (2016)
- Society of Actuary- P Exam (2016)
- Machine Learning and Deep Learning (2017)
Timeline
Senior Applied Scientist
Amazon
11.2022 - Current
Principal Algorithm Engineer
Kinta AI
10.2021 - 11.2022
Sr. Operations Research Scientist
Apple
10.2019 - 10.2021
Sr. Operations Research and Advanced Data Scientist
BNSF Railway
02.2017 - 10.2019
Graduate Research Assistant
Texas A&M University – Department of Civil Engineering & Texas Transportation Institute
01.2011 - 01.2016
PhD - Transportation Engineering
Texas A&M University
Minor Degree - Applied Statistics
Texas A&M University
Master of Science - Transportation Engineering
Sharif University of Technology
Bachelor of Science - Civil Engineering
Bu-Ali Sina University