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Cem Özen

Cem Özen

Computational Meteorologist

Vitus Commodities | İstanbul

Technologies

My Portfolio Highlights

My New Track

Data Scientist

My New Course

Introduction to Python

My New Track

Data Scientist

Data dreamer, envisioning a world powered by intelligent insights.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Introduction to R

course

Introduction to Python

course

Introduction to SQL

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Fiba Yenilenebilir Enerji Holding A.Ş. | Dec 2022 - Present

Data Analyst

N/A

Buluttan Meteorology & Technology | Oct 2022 - Dec 2022

Data/Atmospheric Scientist

N/A

Sancak Enerji Hizmetleri A.Ş. | Apr 2017 - Oct 2022

Assistant General Manager

One of the most important parts of my job is increasing the accuracy of the power generation forecasts of wind farms and making day-ahead, weekly and monthly forecasts. I am also developing my independent energy generation forecast model which is my Ph.D. thesis that couples numerical weather prediction and machine learning models. Besides, data analytics, wind resource assessment, wind due diligence, designing and optimizing wind and solar farm layouts are also among my duties. Lastly, I am also working as a coordinator of the energy trading team. Some studies that I’ve been working on can be seen below; • Using machine learning (Boosting Trees, Neural Networks) and statistical models by using R programming language to increase the accuracy of the forecast. • Short-term wind power forecasting by coupling WRF which is an NWP model for downscaling and machine learning. • Energy analysis, micro siting, and analyzing monthly planned production of wind farms. • Power curve verifications of wind turbines by comparing the theoretical power curves of the manufacturer with calculated power. https://github.com/cemoze/3d-wind-turbine-power-curve-model • Assessing wind turbine performances and availability based on their alarm and warnings and, preparing weekly and monthly reports autonomously generated by R. • Forecasting Turkish electricity market clearing prices by using auto- regressive models (AR, ARIMA). • Calculating and visualizing wind speed anomalies over Turkey by using ECMWF ERA5 data. • Leading the energy trading team.
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TARBİL - Tarımsal İzleme ve Bilgi Sistemi | Dec 2015 - Apr 2017

Data Analyst

Doing statistical analyses, data quality management, and imputing missing data by using the R programming language were my primary tasks at TARBIL. Some studies that I've worked on at TARBIL can be seen below; • Assigning the cloudiness by using solar radiation data and specifying the clearness index for different regions of Turkey. • Applying different spatial interpolation methods over Turkey by using automatic weather observation station data (InverseDistance Weighting and Kriging Method). • Managing and configuring real-time farm simulation. These algorithms include plant-water relationship and irrigation efficiency analysis by using FAO equations like the Penman-Monteith evapotranspiration formula. This study has also been applied to the mobile application which was developed for increasing the awareness of the farmers and this project and technical management of this project has been carried out by me. •Writing academic papers for conferences.

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Atmospheric Sciences and Meteorologyİstanbul Teknik Üniversitesi | 2022
Master of Science - MSc, Atmospheric Sciences and Meteorologyİstanbul Teknik Üniversitesi | 2016
Bachelor of Science - BSc, Meteorological EngineeringIstanbul Technical University | 2014

About Me

Cem Özen

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