ABOUT SPACE SLAM

Welcome, I'm Sofianos.

At Space Slam, we believe in the power of AI and automation to drive business success. Whether you're an entrepreneur, coder, or tech innovator, this is your space to unlock the full potential of AI. Let us help you slam through the barriers holding your business back.

Sofianos

Technical Skills

  • python
  • postgresql
  • node
  • react
  • git
  • tensorflow
  • pytorch
  • pandas
  • numpy
  • matplotlib
  • docker

Soft Skills

Business Analysis & Project Management

Requirements Elicitation & Stakeholder Communication: Expertise in gathering key business requirements and translating them into actionable insights. Skilled in facilitating effective communication between stakeholders and technical teams to align project objectives and deliverables.

Business Requirement Documentation

Documentation: Proficient in drafting comprehensive business requirement documents (BRDs), ensuring clear and concise articulation of business needs and proposed solutions.

Kanban & Agile Methodologies

Kanban & Agile: Experienced in Agile and Kanban project management methodologies, utilizing tools like Trello for efficient project tracking, workflow management, and team collaboration.

Experience

Nexi Greece Logo

Application Developer at Nexi Greece - Greece

  • Engaged in the design, development, and maintenance of software applications.
  • Collaborated with cross-functional teams to gather and address software requirements.
  • Employed agile methodologies for timely delivery and quality code.
  • Utilized debugging and troubleshooting skills to ensure optimal application performance.
  • Continuously updated technical knowledge and skills to adapt to emerging technologies.
  • Participated in code reviews to maintain code quality and ensure consistent design patterns.
Oliveex Logo

Data Engineer Intern at Oliveex - Volos, Thessaly

  • Assisted with the design and implementation of database schema.
  • Conducted exploratory data analysis and descriptive statistics.
  • Performed feature engineering for enhanced model performance.
  • Developed machine learning models for time series prediction of sensor label data.
  • Applied deep learning techniques for outlier detection in sensor time series data using LSTM, LSTM Autoencoder, Isolation Forest, DBSCAN, and Interquantile Range.
  • Utilized Git for version control and collaboration.

Education

UTH Logo

5-year Diploma (Integrated M.Sc.) in Electrical and Computer Engineering, GPA: 7.63/10

SL