Nikos Karakasis

Built a data-driven pricing model in Python using historical workshop order data and SQL to analyze cost and customer demand trends through exploratory data analysis (EDA), statistics, and Plotly visualizations.
Engineered and trained a machine learning model using scikit-learn to predict optimal pricing for new orders, applying data analysis and machine learning fundamentals to reducing manual estimation time.

• Reported back to instructor to receive day-to-day tasks and responsibilities.
• Communicated effectively with faculty and staff and accepted critiques and suggestions for areas of improvement.
• Sorted, organized, and maintained files.
• Maintained database systems to track and analyze operational data.
• Assisted in preparation and application of powder coatings on various substrates.
• Maintained equipment and tools to ensure operational efficiency and safety standards.

• Assisted with special events and programs.
• Maintained clean, neat, and operational facilities to serve program needs.
• Used strong interpersonal communication skills to convey information to others.
• Represented organization positively and professionally while providing community with much-needed services.
• Approached issues proactively to best meet current and future community needs.
• Coordinated with different service providers to meet clients' individual needs.