Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 5

Strong professional experience with tabular data, time series, 3d.
Deep knowledge in CV and NLP task proven with courses and competitive ML, pet projects.
Interested in lots of fields of AI: generative models, RL, etc.

Took part in lot's of hackathons and finished most of them in top-3
Instant education: lots of MOOCs passed
MSc in Applied Mathematics

A lot more info in my CV
3D Body Reconstruction project
preparation of a pipeline and testing hypothesis related to different cases of camera and body params to get useful insights about issues of the core 3d technology
developing fitting and analytical features for parametric body reconstruction pipeline
presenting insights to business-side colleagues (including C-level managers)
tech team lead
ML (linear and tree-based models, clustering models), DL (MLPs, CNNs), Python (scientific toolkit, libraries to work with 3d, basics of Django), PyTorch, SQL (PostgreSQL)


Predictive maintenance project
machines’ sensors time series data analysis, detection and forecasting possible machine failures
development of different improvements in existing ML and automatic reporting system
ML (tree-based models), DL (MLPs, CNNs, RNNs), Python (scientific toolkit), PyTorch, Matlab, FastAPI


FinTech project - HFT
research in the field of time series forecasting to enhance technology with latest advances in machine learning and deep learning, 
models validation and selection; productionizing of models, development of application for real time high velocity data stream processing
ML (linear and tree-based models), DL (MLPs, CNNs, RNNs), Python (scientific toolkit), R (dplyr, caret, shiny), TF, Keras, SQL (PostgreSQL)
Challenging tasks in fields of machine learning / deep learning
Knowledge sharing environment
Preferably R&D team

Minimum legacy
Minimum bureaucracy

Ready to consider non-profit initiatives as spare time volunteer (especially connected to Ukraine)
Ready to consider early-stage startups to help them grow