Ievgen Perederieiev

- Currently enrolled in a 16-week, full-time data science & machine learning bootcamp (960 hours). - Applying Python, SQL, and modern data tools (Pandas, EDA, visualization) in practical project work. - Building supervised/unsupervised ML models and neural networks using scikit-learn and TensorFlow. - Working in agile team environments (Scrum, Kanban) on multiple hands-on data projects. - Developing an end-to-end capstone project covering data pipeline design, model training, and deployment.

- Developed and enhanced ARXML generator and advanced diagnostic tools for Diagnostic Cluster (Python), improving automation and efficiency. - Developed and published a cross-platform mobile application for Android and iOS using Flutter. - Designed and implemented multiple Backend and API features for application using Python and FastAPI. - Designed, implemented, and maintained IDE.HUB, CLI tool and Eclipse & VS Code plugin, introducing key features and transitioning the LCOV feature from PoC to MVP.

- Developed core features for IDE.HUB platform, a multi-environment development tool supporting CLI, Eclipse, and Visual Studio Code integration - Engineered concurrent execution mechanism using lock files, eliminating race conditions and improving system reliability - Created and maintained comprehensive user and technical documentation on Confluence, reducing support inquiries and accelerating new developer onboarding

- Delivered end-to-end solutions across image processing, data analysis, and control systems domains using Python, MATLAB/Simulink, and JavaScript - Built predictive ice detection simulator for wind turbines using MATLAB/Simulink, optimizing big data processing with parallel computing techniques - Architected and deployed serverless big data pipeline on Microsoft Azure Functions for IQinABox and Danish Crown, enabling real-time analytics

- Designed electrical control schematics for motor systems with flywheel energy storage, ensuring optimal performance and safety compliance - Assembled and wired electrical control cabinets for industrial tunnel systems in collaboration with CERMEX (France) - Created and maintained electrical drawings and technical project documentation according to industry standards - Collaborated with cross-functional teams in the Department of Mechanization and Automation to deliver production-ready solutions

- Delivered electrical installation and maintenance services for residential and commercial properties - Read and interpreted electrical schematics, wiring diagrams, and technical specifications - Tested, installed, and replaced circuit breakers and electrical components - Provided IT support: OS installation (Windows/Linux), hardware repairs, and system configuration - Configured networks and implemented security solutions for business clients

Designed and implemented visual servoing control system for Quanser 3-DOF helicopter, combining computer vision with real-time feedback control Built comprehensive simulation environment in MATLAB/Simulink for model validation and parameter tuning before hardware deployment Applied advanced control theory (PID, state-space) to achieve stable autonomous operation across multiple flight conditions Presented research findings to faculty, demonstrating practical applications of mathematical modeling in robotics

- Supported cutting-edge aerospace research, contributing to stability analysis calculations for the Cyclone-4 orbital launch vehicle program - Delivered hands-on laboratory sessions in robotics and electrical engineering, mentoring undergraduate students in practical skills development - Represented university research at two International "Human and Space" Conferences (2010, 2011), presenting findings to international scientific community

Intensive 16-week, full-time (960 hours) data science and machine learning program covering the complete modern data workflow. The curriculum included Python for data analysis (NumPy, Pandas), data visualization (Matplotlib, Seaborn, Plotly), SQL with PostgreSQL, and essential development tools such as Unix Shell, Git, and GitHub. Python · Machine Learning · Artificial Intelligence · Scikit-Learn · TensorFlow · Git · PostgreSQL · EDA · Pandas · NumPy · Matplotlib · Seaborn · Github

Key courses: Control of the Robots (COROB), Modelization of Robots (MOROB), Visual Servoing (ASVIS), Humanoid and Walking Robots (RMH)

Key courses: Dynamic of Manipulators, Technology of Robot-Based Manufacturing, Digital Control Systems, Basics of Data Capturing, Transferring and Processing

Key courses: Physics, Theoretical Mechanics, Theory of Machinery, , Machine Components, Electrical Engineering and Electronics and Microprocessor Technology, Technique of Machine Engineering, Industrial Robot Technology, Advenced Mathematics, Instruments of Electronics and Automation