Summary
Overview
Work History
Education
Skills
Websites
Skill Highlights
Publications
Certification
Timeline
Generic
Özhan Kayacan

Özhan Kayacan

Data Scientist
Leipzig

Summary

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in AI-based modelling.

Overview

30
30
years of professional experience
2
2
Certifications
2
2
Languages

Work History

Machine & Deep Learning Engineer

ScaDS.AI (Leipzig University)
1 2023 - 12.2023
  • Developed and implemented machine learning and deep learning algorithms
  • Focused on supervised, unsupervised, and reinforcement learning
  • Created data visualizations using Matplotlib and Power BI.

Researcher

University of Leipzig
10.2019 - 12.2023
  • Developed pheromone-dependent models using reinforcement learning
  • Implemented supervised and unsupervised machine learning and deep learning models (NLP, ANN, CNN)
  • Supervised master's thesis students as a secondary reviewer.

Intern Data Scientist (Part-Time)

Mynes Home LTD
02.2022 - 03.2023
  • Extracted and pre-processed data from databases for analysis
  • Conducted exploratory data analysis (EDA) and statistical analysis
  • Developed models using machine learning, deep learning, NLP, and computer vision
  • Visualized data insights with Matplotlib, Seaborn, Power BI, and Tableau.

Data Analyst

Iztech IT Project
10.2018 - 09.2019
  • Data Preparation (Collecting, cleaning, and preprocessing raw data for analysis)
  • Managed spam email detection and implemented a successful prevention algorithm
  • Developed machine learning models to monitor fraudulent activities in ecommerce
  • Visualized data insights for effective analysis.

Junior Data Scientist

Yali Infotech
09.2016 - 10.2018
  • Developed AI-based fraud prevention models
  • Built statistical models for global market monitoring
  • Visualized data using Matplotlib, Seaborn, Power BI, and Tableau.

Research Scientist

Celal Bayar University & Ege University
10.1993 - 09.2016
  • Published 29 papers in SCI journals (available upon request)
  • Developed machine learning and deep learning algorithms for academic research
  • Supervised master's and Ph.D
  • Students in thesis research.

Education

Postdoctoral Researcher (HPC-Europa Fellowship) -

University of Bologna

Ph.D. in Physics - undefined

Ege University

M.Sc. in Physics - undefined

Ege University

Bachelor's Degree in Physics - undefined

Ege University

Skills

  • Data Acquisitions
  • Time Management
  • Business requirements gathering
  • Professional Demeanor
  • Agile Methodology
  • SQL Databases
  • Analytical Thinking
  • Reinforcement Learning
  • Teamwork and Collaboration
  • Data Visualization
  • Adaptability
  • Statistical Analysis

Skill Highlights

Analytical Thinking: Expert in logical problem-solving and deriving actionable insights.

Statistical Analysis & Computing: Proficient in statistical methods and computational tools.

Machine Learning: Experience with predictive modeling and data mining algorithms.

Deep Learning: Skilled in neural networks, TensorFlow, PyTorch, and related frameworks. 

Data Visualization: Strong in dashboard creation, data presentation, and storytelling.

Team Player: Collaborates effectively with cross-functional teams.

Communication Skills: Able to convey complex ideas clearly and effectively to different audiences.

Multi-Tasking: Handles multiple projects efficiently while maintaining high-quality results.

Problem Solving: Developing creative solutions for complex issues.

Decision Making: Makes informed decisions based on data-driven insights.

Self-Motivated & Self-Driven: Independently seeks opportunities for improvement and growth.

Leadership Skills: Leading and mentoring teams to achieve project goals.

Publications

Available upon request. Published 30 articles in "Science Citation Index" (SCI) journals, being the sole author of 11 of them. Eight of these articles focus on Artificial Intelligence (Swarm Intelligence, Reinforcement Learning) and Image Processing (Image Segmentation).

Certification

Intern Data Scientist, Mynes Home LTD, London, UK (02/2022 - 03/2023)

Timeline

German Language B1-level Certificate, interDaF, 31/07/2023

07-2023

Intern Data Scientist, Mynes Home LTD, London, UK (02/2022 - 03/2023)

03-2023

Intern Data Scientist (Part-Time)

Mynes Home LTD
02.2022 - 03.2023

Researcher

University of Leipzig
10.2019 - 12.2023

Data Analyst

Iztech IT Project
10.2018 - 09.2019

Junior Data Scientist

Yali Infotech
09.2016 - 10.2018

Research Scientist

Celal Bayar University & Ege University
10.1993 - 09.2016

Machine & Deep Learning Engineer

ScaDS.AI (Leipzig University)
1 2023 - 12.2023

Postdoctoral Researcher (HPC-Europa Fellowship) -

University of Bologna

Ph.D. in Physics - undefined

Ege University

M.Sc. in Physics - undefined

Ege University

Bachelor's Degree in Physics - undefined

Ege University
Özhan KayacanData Scientist