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Hi there šŸ‘‹

I'm Bulent Soykan, a Senior Operations Research (OR) Analyst with 27 years of experience, possessing an extensive skill-set in statistical analysis, OR, applied mathematics, simulation and modeling, machine learning, programming, strategic planning, and the streamlining of business policies and processes, with PMP certification and a track record of successful project completion and goal achievement.

āœØ About me āœØ

  • šŸ”­ Iā€™m a postdoctoral researcher at School of Modeling, Simulation, and Training, University of Central Florida and I am currently working on to solve large-scale scheduling problems with optimization (MIP), simulation and machine learning (reinforcement learning).
  • šŸŒ± Iā€™m currently learning graph neural networks, deep reinforcement learning to solve sequential decision making problems, and design/development of digital twins.
  • šŸ‘Æ Iā€™m looking to collaborate on optimization (MIP), simulation and machine learning (reinforcement learning) projects.
  • šŸ’¬ Ask me about optimization (MIP), simulation and experimantal design.
  • šŸ“« How to reach me: [email protected]
  • šŸ˜„ Pronouns: He/him
  • āš” Fun fact: I know it is not true but I truly feel like I'm still twenty years old.

Bulent Soykan's Projects

ds-career-resources icon ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

dwsolver icon dwsolver

Implementation of Dantzig-Wolfe decomposition built on GLPK.

emod icon emod

Source files for building the IDM EMOD disease transmission model.

ess icon ess

Enhanced Scatter Search Algorithm (under development)

ga icon ga

A Generic implementatin of Genetic Algorithms. So far only one strategy for each Genetic operatr is implemented. Feel free to contribute if you need more.

gangschedulingproblem icon gangschedulingproblem

All the data and source codes for the publication "Optimizing Rail Maintenance Gang Scheduling Problem with a Hybrid Genetic Algorithm"

go icon go

The Open Source Data Science Masters

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

introtopython icon introtopython

Files associated with our book Intro to Python for Computer Science and Data Science

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

islr.jl icon islr.jl

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

l2d icon l2d

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

manim icon manim

Animation engine for explanatory math videos

mbacourse icon mbacourse

Material from the Big Data course at Chicago Booth

mestradocc icon mestradocc

Automatically exported from code.google.com/p/mestradocc

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