Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

- R&D project on Reinforcement learning for deep neural-network accelerator hardware resources optimization with the top west laboratory (PyTorch, RL, genetic algorithms);
- Startup competitions, hackathons winner.
+ MSc in Artificial Intelligence
+ BSc in Computer Science (Internet of Things)

Computer vision engineer:
- Built detection/classification models, executed statistical data analysis.
- Constructed data pipelines, implemented backend for computer vision systems.
- Made mathematical investigation of the customer problems, researched scientific papers.
Technologies: Python, C++, OpenCV, data science libraries (NumPy, Pandas, …), GANs/AnyNet/ERFNet/etc.

Machine learning engineer:
- Expanded a logistic project with the process optimization and an object recognition part for improving AI-guided AGV & Tracking.
Technologies: Python, PyTorch, Raspberry Pі, RS-485, Docker

Python developer:
- Designed a data visualization system, rendering algorithms 
- Created a data flow infrastructure for the R&D IoT project.
Technologies: Python, Django, Flask, AWS (IoT Core, Lambda, DynamoDB), Terraform, LoRa, LoRaWAN

Data analyst:
- Worked on geospatial data acquisition, cleaning, and analysis.
- Improved product localization with the algorithms for geographic names normalization.
Technologies: Python, data science libraries (NumPy, Pandas, scikit-learn, …), maps, Excel
Interesting and challenging projects.