Position: Manager of Data Science
Category: Data Science
English level: fluent
Years of experience: 5

- Over 20 successfully delivered ML projects 
- Extensive experience in ML applications in variety of business problems
- 4 years of experience working within Data Science field to design, and develop ML models using Python, pySpark, PyTorch, Tensorflow and Keras
- 10 years of data analytics and data management 
- Academic background in Statistics/Engineering from leading North American university
- Certified Azure Data Scientist
- Experience working with high-volume, high-dimensional data
- Eager data scientist, constantly working on self development, presenting on meetups and data events
I have a broad experience in Machine Learning development in a variety of business areas for companies in the USA and Canada.
Сurrently working as Lead Data Scientist for engineering and Oil and Gas solutions. Apart from being  certified Microsoft Azure data scientist I have a substantial record of ML project management, client engagement and client oriented product delivery. 

Here is a list of some projects I have been working on. 
*Financial sector projects*
- Trained Macroeconomic forecasting model (RNN, LSTM, SARIMAX, MLP) 
- Developed Market structure labeling pipeline (XGB, MLP, Bayesian DL, Ridge)

*Engineering sector projects*
- Utilized Genetic algorithm and ML hybrid model for well completions optimization
- Performed Pile Engineering optimization (PSO, Basin hopping, SA, GA, etc.)
- Created bid assessment and filtering pipeline (NLTK, Fuzzy match)
- Constructed artificial lift pump failure detection pipeline (Birch, Keras)
- Built exterior window production line timing prediction model (RF, MLP)

*Agriculture and GIS sector projects*
- Delivered Bayesian based route safety predictions and driver scoring algorithms
- Implemented GPS anomalies detection pipeline (unsupervised, supervised ML)
- Built signal compression ML model (auto-encoders solution)

*Marketing/Sales sector projects*
- Trained and deployed furniture detection engine utilizing deep learning solutions in Python
- Constructed ad channel efficiency characterization ML model
- Built and deployed ML sales predictions model for e-commerce client
I'm looking forward to getting involved into challenging and intriguing Data Science 
projects. Willing to work in a small team or big project but prefer smaller teams. Can deliver outsourcing solution or work on a product development from A to Z. Enjoy working on exceptional ML products.