Let me introduce myself
This is me.
Expanding my toolbox.
Working on things that interests me.
Exploring ideas.
Feeling social.
Hello. My name is Eren.
M.Sc. Candidate in Data Science
Welcome.
Let me introduce myself
This is me.
Expanding my toolbox.
Working on things that interests me.
Exploring ideas.
Feeling social.
I am a M.Sc. candidate in Data Science and Operations Research at the Özyeğin University, supervised by Prof. Erinç Albey and Prof. Enis Kayış.
My primary research interests lie at the intersection of Optimization and Machine Learning, with applications to Predictive Modelling, Nonlinear & Black Box Systems, Simulation Applications and Surrogate Models.
My vision is to address high impact problems with accurate and interpretable models that utilize state-of-the-art analytics methods.
I had the opportunity to do research on different problems and topics in many different fields, some of which started in the undergraduate period.
Main of these studies:
• Machine Learning & Optimization — Prof. Erinç Albey and Prof. Enis Kayış.
• Customer Analytics & Churn Modelling — Prof. Erinç Albey and Prof. Örsan Özener.
• Humanitarian Operations & Network Science — Prof. Burcu Balçık and Prof. Dilek Günneç.
• Supply Chain Segmentation & Product Pricing — Prof. Erinç Albey and Prof. Mehmet Önal.
—> For details, you can check publications section of my resume.
Alongside academia, I have worked in operations research and data science consulting at Optiyol, where I helped clients use advanced analytics and optimization to make transformative and sustainable performance improvement.
I develop solutions for real life network design, forecasting and routing problems with the Optiyol analytics team under the supervision of Dr. Tuba Gözbaşı and Dr. Ozan Gözbaşı.
If you want to know more about me, talk about my research or work outside of academia - feel free to get in touch, I would love to hear from you.
News:
• I have been invited to give a talk at INFORMS 2020 Annual Conference. (Session Info)
• I have been invited to lead a discussion on Supply Chain Management at INFORMS 2020 Annual Conference. (Session Info)
News - Publications:
“A Coordinated Repair Routing Problem for Post-Disaster Recovery of Interdependent Infrastructure Networks”, with B.Balcik, D.Gunnec, and B.Uydasoglu
• Annals of Operations Research
Resume
Python
R
Java
C++
Matlab
Simulation (SimPy, Arena)
Linear & Non-linear Solvers
and others..
I'm currently in my final year studying towards a Master of Science degree in Data Science at Özyeğin University.
Before starting my MSc, I graduated from Özyeğin University with high honors in industrial engineering. I also made a minor with computer science.
Before coming to OzU, I completed my high school education in the field of mathematics and science at Beşiktaş Atatürk Anatolian High School.
Bachelor of Industrial Engineering
Show Courses
2014 - 2019
Semester 1
Minor in Computer Science
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2016 - 2019
Semester 1
Master of Science in Data Science
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2019 - Present
Semester 1
2018
From
SD Project Engineer
2019
To
Senior Design Project with Unilever Supply Chain Department. Project: ”Supply Chain Segmentation”.
The decision support system proposing strategic decisions was made using R shiny in AWS cloud environment, so that clustering algorithms could run in real time.
2019
From
Data Science Intern
2018
To
Provided advance analytics solutions for retailers to enable them with maximum profitability with data-driven pricing and inventory planning.
The markdown optimization project, which includes various estimation, data mining and optimization algorithms that will significantly improve
the overall prediction accuracy, was performed using Random Forest, xgBoost and similar algorithms.
2017
From
Research Scientist
Present
To
Ongoing Research Projects:
• A Rank Aggregation Based Ensemble Method for Music Genre Classification (Submitting Phase)
• A Coordinated Repair Routing Problem for Post-Disaster Recovery of Interdependent Infrastructure Networks (Accepted)
• Profit Stabilizing Supply Policy for Multi Channel Problem (Submitting Phase)
• A Novel Approach for Churn Prediction in Private Pension System (Submitting Phase)
2019
From
Optimization Analyst
Present
To
Working on forecasting, facility location, network design and routing problems (LTL, FTL and various type of VRP).
Liri - Let Your Favorite Artist Be Your Voice
Yandex Online Music HackathonAs part of the Yandex online music hackathon, we developed LIRI with the emphasis on "social music". Liri enables music sharing within messaging applications; it is an application that makes conversations more fun and unique.
LIRI is the fastest, simplest way to search and share piece of sound chorus across all of your favorite social channels. Enjoy our powerful sound Keyboard and iMessage extensions that put LIRI at your fingertips. Spruce up boring conversations with our LIRI sound and LIRI music libraries - exclusively available in the mobile and deskop app.
You can check it out here.
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