Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 0

Certifications:
- Machine Learning Specialization | Coursera
- TensorFlow: Advanced Techniques Specialization | Coursera
- Bayesian Machine Learning in Python: A/B Testing | Udemy

Achievements:
- All-Ukrainian Collegiate Programming Contest - 2d stage
(Ranked 37 / 264)
- All-Ukrainian Mathematical Olympiad - 1st stage
(Ranked 4 / 115)
I am a 3rd-year Applied Mathematics student at Kharkiv Polytechnic Institute. Throughout my academic journey I have gained comprehensive knowledge in applied mathematics, including areas such as linear algebra, calculus, and statistics.  I have also implemented several noteworthy projects that demonstrate my practical skills:

FACIAL KEYPOINTS DETECTION | Python, TensorFlow, Pandas
- Created a program using Python and TensorFlow to predict keypoint positions on face images
- Implemented common data augmentation techniques to increase size of the dataset
- Designed and built a neural network model based on ResNet50 architecture using TensorFlow

SOIL EROSION DETECTION | Python, TensorFlow, Rasterio
- Created a model to classify if there is an erosion of a field given a raster dataset
- Designed and built a neural network model based on InceptionV3 architecture using TensorFlow

MICROBUSINESS DENSITY FORECASTING | Python, XGBoost, Pandas
- Pedicted monthly microbusiness density in US counties with a model based on gradient boosting algorithm.
- Used an ensemble of XGBoost, CatBoost and LightGBM models to predict the values of the time series.