Position: Data scientist / Econometrist
Category: Data Science
English level: fluent
Years of experience: 1

- Achieved an accuracy of crop (yield) prediction in Ukraine and 2 neighbouring countries at 90% for 2 years in a row.
- Forecasted the 3-month price of several commodities with 85-88% accuracy.
My analytical and data science experience mainly deals with agricultural markets (commodity trading). I've been responsible for crop prediction & modelling, trade flows forecasting as well as estimation of future paper/physical prices using both conventional MS Office tools and programming software (Python, R). I am quite proficient in econometrics methods (feature engineering, regression analysis, clustering, heat maps) and comfortable with developing and improving ML/DL algorithms.
Looking for new opportunities and challenges in the field of data science, preferably where I can utilize my econometrics and ML/DL skills.