Oleksii

Oleksii Aleinikov
Data Scientist
Kyiv, Ukraine • [відкрити контакти](див. вище в блоці «контактна інформація») • [відкрити контакти](див. вище в блоці «контактна інформація») • LinkedIn

Data Scientist with 2 years of practical experience, proficient in simplifying complex data challenges and automating
processes to save time. Committed to applying analytical skills and problem-solving abilities combining thoughtful
approach and creative ideas to deliver actionable insights and ensure the timely success of data-driven initiatives.

Professional Experience
Verdict Capital Kyiv, Ukraine
Data Engineer March 2024 – January 2025

• Developed Python scripts to automate debt updating system for contracts of total worth over 350 billion
hryvnias
• Redesigned and optimized a database containing 17 million clients that resulted in an increase in the
accuracy and speed of data processing.
• Maintained a database of 50 million rows
• Controlled transaction flow of nearly 200 million hryvnias
• Wrote documentation on accounting and transaction systems
• Designed a template for an accounting project to transfer data to the National Bank of Ukraine
• Mentored new analytics and onboarding into the company knowledge base

Skills
• Python scripting and automation • Problem-solver
• Data manipulation, EDA, ETL • Analytical thinker
• Machine learning model development • Attentive to detail
• OOP, Pandas , NumPy, sklearn • Team player
• BigData, SQL, NoSQL • Mentor
• Familiar with PowerBI, Tableau, seaborn • Curious

Projects
IASA Champ '24 Kyiv, Ukraine
ML Engineer January 2024 – February 2024

• Created a CNN to identify 21 different hand-drawn UI elements with 78% accuracy
• Used matplotlib to visualize original and generated images, build loss plots and heatmaps from the confusion matrix
of the results
• Generated images with Keras to augment data
• Optimized the process of getting images from 21 different sources into 1

Datacamp NYC, USA, remote
Data Science Assosiate July 2023 – September 2023

• Developed hypotheses regarding the expected impact of sport classes on performance
• Planned and designed A/B tests to check if there are benefits of attending classes
• Conducted statistical analysis to compare the performance metrics between the control and treatment groups
• Provided insights into whether the sports classes have a meaningful impact on gym members' performance

Robot dreams Kyiv, Ukraine, remote
Data Science student May 2023 – June 2023

• Successfully classified the top 15 coffee-producing countries with 76% f1-score
• Applied SMOTE algorithm to balance data by oversampling small classes.
• Implemented different machine learning algorithms like DecisionTree, RandomForestClassifier, and
GradientBoostingClassifier to get the best f1-score.
• Used seaborn to create histograms for EDA and heatmaps for model evaluation.

Education
Kyiv National Economic University Kyiv, Ukraine
Bachelor, Computer Science 2020 - 2024