Filip Tolovski

Design and development of a supervised machine learning system for energy consumption prediction

⎯ Design and development of a supervised machine learning system for path loss prediction in autonomous vehicles communication, resulting with an improvement of 14.51% in accuracy over the baseline model ⎯ Design of a reinforcement learning agent for advancing renewable electricity consumption and a suitable simulation environment, published at ICLR 2020 ⎯ Building a data generation pipeline ⎯ Application of a correlational clustering algorithm to signal measurements for finding the most suitable cell tower

• Data Integration, Data Analysis and Data Reporting using the Resource Management System for the needs of the Logistics, Sales and Marketing departments • Developing new modules and maintenance of the existing Business Support System for Resource Management • Developing new software in .NET Framework and SQL for the needs of the BSS department for Data Reporting and Data Integration between different Business Support Systems

• Developed Business Solution for Data Reporting and Data Management used in a medical practice in Skopje, Republic of Macedonia • Microsoft Access database development for various clients using SQL for querying and VBA for the backend development

• Development and maintenance of Wordpress websites • Content writing for Wordpress websites • Web Development with HTML, CSS and JavaScript

• Maintenance of the existing UFB database • Developing new queries, interfaces and tables in Microsoft Access • Backend development of new functionalities for the UFB database using VBA

• Introduction to Web Development with ASP.NET • Training in software development with C#

- Supervised Learning - Reinforcement Learning - Telematics, Distributed Computer Systems - Master Theses: ‘ Comparison of Machine Learning algorithms for path loss prediction in V2V Communications’

- Software Development and Engineering - Computer Engineering - Mathematics, Probability Theory and Statistics