Alparslan Erol

- Mercedes-Benz Trucks Mechatronics Systems Software Development Team - Advanced Driving Assistant System (ADAS) - Working on functions in (ADAS). -Developing a python back-end "Search Engine" software to filter specified data that collected from test drive on Vector CANape tool. - Generating "Artificial Test Data" with a deep learning method on python. - Working "Agile" with Using "Git" to work all together.

- Working on a specific R&D project based on a Machine Learning algorithm which provide know-how about production line and bring an AI competency. - Algorithm is based on an ensemble method which is Light Gradient Boosting Method (LGBM). - Data collected from production line measurements (~240k product with 100 features). - Spending 80% of time for "Data Preparation". - Frequently used Libraries: pandas, numpy, matlibplot, seaborn, sklearn, xgboost, lightgbm, Tensorflow, Pythorch, Keras...

- Energy Management Division, Digital Grid unit Internship. - Covers Substation Control Systems with SCADA (Supervisory Control and Data Acquisition) and PLC(Programmable Logic Controller) Programming specialization.

Data Science and Business Analytics Master's Program

MSc. Student in Computer Science (Engineering of software, business processes and databases specialized)

Senior Design Project : Network Anomaly Detection by Using Machine Learning Algorithms - Control Option - Linear Systems Theory - Control Technologies and Design - Robot Control - Optimization Theory - Artificial Neural Network