Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 5

- Completed projects from PoC to production with reliable results
- Researched and made prototypes for techniques and algorithms for efficient solving of Landcover classification problem
- Designed and implemented efficient solutions on image segmentation (clouds and shadows detection)
- Strong mathematical background (completed master's degree on applied mathematics, PhD student)
- Developed and researched for cutting-edge projects concerning satellite imagery processing and data analysis. Participated in full cycle projects from PoC to production with reliable results on both well-defined and open-ended practical problems. (Data preprocessing, Neural network architecture design and implementation, Calibrating model and parameters based on results analysis, Developed production-ready code, Setup and ran in Docker via Airflow)

- Statistical analysis of probability distribution of stochastic variables, including confidence intervals estimation, check of uniformity, independence and other types of hypothesis building and validation

- Statistical analysis for corporate attendance bot: average lateness and working time, schedule and attendance visualization, personalized attendance prediction based on regression analysis results

- Text mining using statistical pattern learning (Zipf’s law, Heaps’ law, tf–idf) with further visualization and semantic network building
Ready to work hard and wisely on demanding projects, preferably related to Computer Vision. 
Not a Data Engineer. Don't prefer gambling industry projects. 
Expecting sane level of schedule flexibly.