Vova Taran is an engineer and junior data analyst based in Kyiv with a strong interest in machine learning and 12 years of technical experience across electronics manufacturing and audiovisual engineering. He combines hands-on hardware troubleshooting, maintenance and production optimization with practical data skills gained from GoIT and Python courses, applying Python, TensorFlow, scikit-learn, NumPy and Pandas in pet projects like a Django web-blog and a handwritten character recognition system. Comfortable with SQL (Postgres, BigQuery) and visualization tools such as Tableau and Looker Studio, he translates messy data into actionable insights and clear visual reports. His background in radioengineering (Master’s) and field work in broadcast production give him a practical systems mindset that helps bridge model development and real-world deployment constraints. Currently engaged in device module manufacturing and documentation, he brings disciplined reporting and process optimization experience to data projects. Reachable via email or Telegram, he is actively building his portfolio on GitHub and exploring ways to apply ML to practical automation problems.
12 years of coding experience
1 year of employment as a software developer
Master's degree, Radioengineering, Master's degree, Radioengineering at National Aviation University
Data Analytics, Data Analytics at GoIT - start your career in IT
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