egorskb / egorskalozub

🚀 My Projects & Achievements

📊 Predicting Car Prices

• Date: 10/2022 - 11/2022
• Location: SAMK - Pori, Finland
• Highlights:
  • Worked with libraries: Pandas, Numpy, Matplotlib, Seaborn
  • Utilized standardization, normalization, and linear regression
  • Managed categorical variables using get_dummies function
  • Divided dataset into training and testing subsets

🗃️ Python SQL App for Data Collection and User Queries

• Date: 01/2023
• Location: SAMK - Pori, Finland

📜 Python Script to Generate XML File

• Date: 01/2023
• Location: SAMK - Pori, Finland
• Highlights:
  • Object-Oriented Programming approach
  • Incorporated inertia matrix formula

🚗 From Pedal Car to Phone-Controlled Vehicle

• Date: 02/2023
• Location: EPHEC - Brussels, Belgium
• Highlights:
  • Developed a web app using HTML, CSS, and JavaScript
  • Motor operations handled with Arduino and Python

🌐 AWS Academy Courses

• Completed courses on:
  • Machine Learning Foundations
  • Cloud Foundations
  • Cloud Security Foundations

🎓 Scholarships & Academic Achievements

• 🥇 First-year academic university scholarship: Achieved by ranking in the top 20% with a GPA above 3.5
• 🥇 Second-year academic university scholarship: Maintained top 20% ranking with a GPA above 3.5

🤖 AI in Education

• Developed an AI solution in a team for efficient time management in the educational sphere

💼 Skills

• Programming & Scripting: Python, JavaScript
• Web Development: HTML, CSS
• Data Analysis: Pandas, Numpy, Matplotlib, Seaborn
• Databases: SQL
• Hardware Programming: Arduino
• Cloud: AWS
• Techniques: OOP, Data Partitioning, Standardization, Normalization