Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1

Accomplished achiever with a proven track record of success! Highlights include:
-- receiving two prestigious scholarships from top universities in New York
-- placing 2nd in a hackathon with a cutting-edge algorithm for creating personalized excursions
-- winning multiple programming contests
-- being a medalist with the Physics Junior Academy of Sciences of Ukraine
-- possessing strong math expertise in multivariate calculus, probability & statistics, and linear algebra.

Ready to bring a winning attitude and extensive skillset to your team!
As a skilled and experienced Machine Learning Engineer and Researcher, I have a passion for applying math and emerging technologies to solve real-world problems. With a recent scholarship, I am currently working on a project focused on predicting the 3D structure of proteins using their amino acid sequence. Led by Dima Kozakov, I am part of a team of experts in Applied Mathematics and Computational Biology, responsible for training, evaluating, and improving the AlphaFold model by DeepMind.

In my previous role at MindCraft, I demonstrated my ability to tackle complex challenges by predicting house prices. Working with PostgreSQL data, I meticulously cleaned and prepared features for neural networks, resulting in an impressive MAPE of 9% for sellers and 3% for buyers. I also conducted research on Object Detection and Tracking, reading several papers on contemporary technologies like CNN, Faster R-CNN, DSOD, DSSD, and YOLO.

With a wealth of experience in math applications and machine learning, I am proficient in NumPy, Pandas, SciPy, Matplotlib, TensorFlow, Keras, Git and Docker. I am deeply committed to my data science-related study projects, going beyond the task statement to develop a wide range of expertise.

My projects include forecasting time series data, utilizing statistical approaches such as exponential smoothing, AR, MA, ARMA, SARIMA, and SARIMAX, as well as machine learning techniques like RandomForestRegressor, FB Prophet, LSTM, and CNN. With NLP, I am adept at corpus preprocessing, lemmatization, vectorization, normalization, and advanced techniques such as POS and NER. I am skilled in signal processing, specializing in Spectral analysis using Fourier transform and wavelets, and linear filtering.

I have also completed business analysis projects, including working on the loyalty program renovation for a food retailer with 51 shops in the Lviv region. I am dedicated to empowering businesses with data insights and profoundly understanding their processes. Additionally, I have completed the winter school from Just Answer, where I gained knowledge in LTV, A/B testing, and cohort analysis. I have also worked on other machine learning-related projects, such as a spam filter using Naive Bayes and statistical tests, and radioactive decay of Cesium-137 using Poisson distribution.

Overall, I bring a wealth of expertise and a passion for solving complex problems, and I look forward to bringing my skills and experience to new opportunities.