Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 2


Clustering and relationships between plant speciesClustering and relationships between plant species. Institute of Botany of the Ukrainian Academy of Sciences · FreelanceInstitute of Botany of the Ukrainian Academy of Sciences · Freelance. Apr 2023 - May 2023
A rating system for clustering plant species has been developed. The created system made it possible to develop a well-founded methodology for rapid assessment of the expansive potential of plant ecosystems.
The results were presented in the form of an interactive dashboard Power BI.

Automation of trading signals evaluation. Freelance. January 2023. Introduced a trend reversal signal "hanging man" and "hammer" as a formula for analysis. Created a program that tracks these signals in any time series of trading pairs. The ratio of true and false indicators of trend change for 5 currency pairs has been calculated. Pandas.

Analysis of anime descriptions. Freelance.  December 2022. Parsed descriptions of anime, created Sqlite3 database. Used a frequency dictionary and neural networks to test the hypothesis that the anime rating depends on its description. Create a PowerBI dashboard to present results of parsing.

Estimation of the financial performance of a trader. Freelance. November 2022. Parsed two years trading data. Tested hypotheses about the most successful actions using regression analysis and confidence intervals. Pandas, Scikit-learn.

Kaggle competition  Big Data Derby 2022. September 2022 - November 2022. Analyzed data to increase the chances of winning for jockeys during the races. Developed a Statistical Model to determine winning strategy.  The result: plots with visual representation of the winner's patterns. Pandas.

Internship at the University of Artificial Intelligence.  July 2021 — July 2022. 
Improved NN credit score accuracy by 2.6% compared to the old SVM model. 
Designed a model with better accuracy from Random Forest, KNN and a neural network (better by 6%) for the base of no-showing  clients at the barbershop. 
Diploma project. Collected a database of words with the correct pronunciation. Wrote functions for parsing, evaluation and visualization. Designed an autoencoder and classifier to evaluate the pronunciation of the sound [ai] of the English language.