Orhan B.
Senior Data Engineer
Orhan is a Senior Data Engineer with seven years of experience. He has extensive experience in Python, Numpy, Machine Learning, Pandas, Apache Spark, AWS Technologies and SciPy.
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He also has experience as DevOps Engineer.
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Orhan worked in Energy, Insurance, Defense Systems industries as a Data Engineer, Data Scientist and Team Leader with local and international companies.
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Currently, he is working at R2NET, Inc. as a Senior Data Engineer, utilizing AWS Technologies and Python skills to design and maintain efficient data pipelines for a company in diamond industry.
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He has experience in Scrum
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Acted as a team lead for different teams and mentored junior colleagues.
Main expertise
- Data Science 6 years
- Machine learning 6 years
- NumPy 7 years
Other skills
- Apache Spark 3 years
- PyTorch 3 years
Selected experience
Employment
Senior Data Engineer
R2NET, Inc. - 1 year 3 months
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As a skilled Data Engineer, main responsibilities are:
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Utilizing AWS cloud technologies and Python to design and maintain efficient data pipelines for a prominent company in the diamond industry
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Effectively handling and processing large-scale datasets
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Sourcing data from multiple APIs and databases, performing data cleaning and transformation, and scheduling jobs through Airflow to deliver accurate business intelligence to the team
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Developing custom scripts and libraries to automate data processing tasks and ensure high data quality checks
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Proficient in working with renowned data processing frameworks
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Proficiency in AWS services such as S3, Redshift, Glue, and Lambda has enabled the creation of efficient, scalable, and fault-tolerant data processing pipelines
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Responsible for creating clean source data for Tableau reports presented to C-level managers, providing them with valuable insights into the business
Technologies:
- Technologies:
Apache Spark
NumPy
Pandas
Python
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Data Scientist
General Electric Power - 9 months
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Engaged in projects aimed at improving profit margins and productivity by executing initiatives that align with the goals and expectations of our business partners
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Engaged in effective stakeholder communication throughout the project development phase
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Working in the finance domain involves the development and implementation of artificial intelligence-based estimation methods, which enhances the operational capabilities of our business lines
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Leveraged cloud-based technologies, such as Amazon Web Server, employing services such as SageMaker, Glue, and Lambda for project development and production stages
Technologies:
- Technologies:
- Data Science
Machine learning
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Associate Team Leader of Signal Processing and Machine Learning
Baykar Defense - 2 years 2 months
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Was responsible for overseeing a team of employees to achieve organizational growth objectives
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Conducted meetings with senior managers to determine project requirements and guide engineers and technical staff in alignment with these requirements
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Organized Scrum meetings and ensured that project progress remained in line with the overall business plan
Technologies:
- Technologies:
- Data Science
Machine learning
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Artificial Intelligence Software Engineer
Baykar Defense - 10 months
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Contributed to several projects to enhance Unmanned Aerial Vehicle (UAV) capabilities across multiple domains. This included projects related to Machine Learning, Mathematical Modeling, Optimization, and the development of Rule-Based Systems
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Played a role in all stages of these projects, from conception to production, and improved the implementation of Machine Learning algorithms by enhancing the Python language
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Relied heavily on data science libraries such as scikit-learn, TensorFlow, and Keras, and generally utilized the MAT- LAB platform for mathematical modeling
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Conducted performance-oriented studies and developed Deep Learning models using C++ TensorRT, while also integrating algorithms in C/C++ languages for embedded systems
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Made notable contributions to several projects, including:
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Anomaly Detection; This project involved detecting faults in high-frequency time series sensors based on their compatibility with other sensor data. LSTM-based systems from artificial intelligence methods were utilized.
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Data-Driven Physical Modelling; In this project, complex physical systems were modeled using data science methods, resulting in more robust outcomes than those produced by classical physical models
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Landing Detection; The objective of this project was to determine the moment of an aircraft’s landing rapidly. To achieve this, rule-based solutions were developed using signal-processing algorithms for feature extraction.
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Missile Evasion Algorithm; This project focused on calculating the optimal path instantly by utilizing optimization methods on models based on the kinematics of the aircraft and the missile.
Technologies:
- Technologies:
- Data Science
Machine learning
Python
TensorFlow
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Education
MSc.Mathematics in Operations Research
Technical University of Munich · 2015 - 2018
BSc.Mathematics
Istanbul University · 2009 - 2014
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