Position: Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 2

TensowFlow Developer - Google:
Examination Areas: Integrating Machine Learning with time series, computer vision, convolutional networks, and natural language processing. EXAM SCORE: 24/25

Machine Learning Specialization - Stanford University/ DeepLearning.AI (via Coursera)

Deep Learning Specialization - DeepLearning.AI (via Coursera)

TensorFlow Developer Specialization- DeepLearning.AI (via Coursera)
Machine Learning Engineer with multi-disciplinary engineering background and strong research aptitude. 
Google Certified TensorFlow Developer. 

M.Sc. in Computer Engineering / Data Science from top European Engineering School.
B.Sc. in IT and Systems Engineering from top engineering school in the country  

Looking for applying state-of-art deep learning applications to help businesses advance

Well-versed in various Machine Learning fields e.g. Supervised/Unsupervised ML, Deep/Shallow Learning, Reinforcement Learning techniques.

Proficiency in Computer Vision, NLP, Time Series applications.

--- ML Engineer (2023)
•  Sole Machine Learning Engineer on team, 
•  Leading creation of custom datasets, developing ML algorithms using advanced NLP techniques
•  Contributing to early development plans for ML models.

--- First data scientist** in country`s largest online payment company (2017)
• Researched on applications of data science methodologies to help the company to grow.
• Processed data on overall sales/revenues of the company. 
• Calculated association rules on sale channels/products and built forecasting models etc. 
• Main tools used: Python, Excel, and R.
      ** in intern capacity

--- Flight Dynamics Intern at regions only satellite operator (2016)
• Assisted Flight Dynamics group members.
• Office was responsible for overseeing satellites` orbital parameters, station-keeping operations and general wellbeing of satellites