Özhan Kayacan
Angestellt, Data Scientist & AI & Big Data | Machine & Deep Learning Engineer, ScaDS.AI (Center for Data Science, AI and Big Data)
Leipzig, Deutschland
Über mich
Passionate Data Scientist with 10+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning for business applications, as well as expertise in network analysis and visualization. I have a proven track record of delivering data-driven insights and implementing action-oriented solutions to complex business problems through the use of data modeling, data regression models, and data mining algorithms. With 29 publications in SCI-indexed scientific journals, I bring a wealth of knowledge and expertise to every project. Proficient in Python, C++, Hadoop, Apache Pig, Apache Hive, Google Sheets, Tableau, Power BI. • Solid knowledge of Python (Pandas, Numpy, Scikit-learn, PyTorch) • Experience with SQL (PostgreSQL, MSSQL), Excel, git, AWS • Data visualization using Power BI and Tableau • Strong communicational skills, committed, responsible, flexible, agile, analytical, proactive, solution-oriented • Team player, self-motivated, self-driven
Werdegang
Berufserfahrung von Özhan Kayacan
Bis heute 1 Jahr und 5 Monate, seit Jan. 2023
Data Scientist & AI & Big Data | Machine & Deep Learning Engineer
ScaDS.AI (Center for Data Science, AI and Big Data)
• Applying Machine & Deep Learning algorithms to perform Monte Carlo simulations and statistical analysis of the collective behavior of swarms/agents • Using Logistic Regression, KNN, Random Forest, Decision Tree, Bayes, Support Vector Machine, ANN, CNN, and RNN) to analyze the obtained data from computer simulations • Implementing Python codes using Jupyter, Pandas, Numpy, Scikit-learn, PyTorch
Bis heute 4 Jahre und 8 Monate, seit Okt. 2019
Research Scientist
University of Leipzig
• Developed and implemented swarm & artificial intelligence (AI) approach using pheromone-dependent interactions for studying predator-prey relations using Python and C++ • Application of Machine Learning algorithms to perform statistical analysis of the obtained data based on the pheromone-dependent model, Python used to perform analysis • Supervised students as a secondary reviewer in MSc Thesis
1 Jahr und 2 Monate, Feb. 2022 - März 2023
Internship Project - Data Scientist
Mynes Home LTD, 4 Union Street, Barnet, Hertfordshire, EN5 4HZ
• Data extraction using SQL and Excel, implementing pre-processing • Statistical modeling using Python (Jupyter, Pandas, Numpy, Scikit-learn, PyTorch) • Data visualization, building dashboards using Excel, PowerBI, and Tableau • Using Machine Learning models such as Logistic Regression, KNN, Random Forest, Decision Tree, Bayes, Support Vector Machine, ANN, NLP, etc. • Time Series Analysis, Cohort Analysis, Basket Analysis, A/B test, Basket Analysis, Churn Prediction Analysis, etc.
1 Jahr, Okt. 2018 - Sep. 2019
Data Analyst
Iztech IT Project
• Identifying data using SQL, Excel, Google Sheets, Python • Preparation of data for analysis (EDA) • Preprocessing using Excel, SQL, and Python • Time Series Analysis, Profitability Analysis, Seasonality Analysis, Basket Analysis, Advertising A/B Test, Effect Size Analysis • Visualization of data using Excel, Tableau, and Power BI
2 Jahre und 2 Monate, Sep. 2016 - Okt. 2018
Data Scientist
Yali Infotech
• Extracting data using SQL, MS Excel, and Python • Preparation of data for analysis (EDA) • Preprocessing using Python (Jupyter, Pandas, Numpy, Scikit-learn, PyTorch) • Cohort Analysis, A/B tests, Churn Prediction, Basket Analysis, Seasonality Analysis, etc. • Logistic Regression, KNN, Random Forest, Decision Tree, Näive-Bayes, Support Vector Machine, ANN, CNN, etc. • "Sentimental Analysis", and "Returns Analysis" with NLP • Data visualization with Excel, Tableau, and Power BI
14 Jahre und 2 Monate, Aug. 2002 - Sep. 2016
Associate Research Scientist
Manisa Celal Bayar University
• Developed and implemented AI-based models • Application of Machine Learning models to perform statistical analysis of the obtained data based on the models used in projects • Developed models for image segmentation, luminescence, liquid crystals, and nucleation-growth phenomena • Solid knowledge of Mathematical Physics, Statistical Physics, and Computational Physics • Supervised students in M.Sc. Thesis (2 students) and Ph.D. Thesis (2 students) • 29 publications in SCI journals
4 Monate, Mai 2005 - Aug. 2005
Postdoctoral Researcher
Alma Mater Studiorum - Università di Bologna
Performed computer simulations for defects in nematic liquid crystal displays
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Englisch
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Deutsch
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Türkisch
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