Oleksandr

CURRICULUM VITAE

Oleksandr Orlinskyi

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Professional Summary

Motivated Data Specialist (Data Scientist / Data Engineer) with a solid foundation in Computer
Science and Backend Development. Experienced in building data pipelines and performing data
analysis using Python (Pandas, NumPy) and SQL. Proven track record at SoftServe in optimizing
database queries and applying ML algorithms. Strong mathematical background (Advanced Linear
Algebra, Discrete Mathematics, and Probability Theory), and proficient in Linux/Bash scripting.

WORK EXPERIENCE

Outsourcing IT company, Lviv — Python Backend / Data Engineer (Project-based) 06.03.2023 –
20.05.2024

• Developed and maintained backend services using Python, focusing on efficient data
processing and ETL tasks.

• Performed data analysis and cleaning using NumPy and Pandas, preparing datasets for
Machine Learning models.

• Optimized complex SQL queries and database schemas in PostgreSQL, improving data
retrieval speed and system performance.

• Implemented ML algorithms for predictive analysis.

• Collaborated within an Agile team, utilizing Git for version control and participating in code
reviews.

EDUCATION

Ivan Franko National University of Lviv, Ukraine — Bachelor in Computer Science 01.09.2021 –
30.06.2025 (Graduated: June 2025)

• Focus Areas: Python, C#, SQL, Intelligent Information Technologies, Data Security, Algorithms
and Data Structures, Linear Algebra, Discrete Mathematics, OOP, Computer Networks (OSI,
TCP/IP), Database Design.

• Thesis: Development of an application for parallel programming in C# (Successfully
completed).

Ivan Franko National University of Lviv — Master (1st year)

(2025 – present)

• Faculty: Applied Mathematics and Informatics

• Major: Cybersecurity and Information Protection

PROJECTS

Parallel Programming Application & Performance Optimization Research (Bachelor Thesis)

• Analyzed parallel computing techniques to optimize data processing tasks.
 • Implemented high-performance algorithms demonstrating significant speed-up in
computations.

Digital Asset Fraud Detection (GitHub Project)

• Developed a system to analyze data from smart contracts and decentralized trading pools
(Uniswap V2 and V3) to identify fraudulent tokens.

• Implemented algorithms to detect fraudulent schemes such as Rug Pulls (liquidity pumping)
and Honeypots (selling restrictions).

• Project Link: github.com/Alexorlin/Digital-Asset-Fraud-Detection

Smart Delivery Duration Prediction (GitHub Project)

• Developed an interactive Streamlit web application powered by a Random Forest Regressor to
predict shipment delivery times.

• Implemented a dual-prediction system supporting both batch processing via CSV file upload
and manual input parameter forms.

• Project Link: github.com/Alexorlin/smart-delivery-prediction

Smart Market Competitor Intelligence Dashboard (GitHub Project)

• Developed an automated ETL pipeline collecting market news, crypto analytics, and social
media data for competitor intelligence.

• Integrated ChromaDB vector store and LangChain (RAG) to enable natural language querying
of market trends and sentiment.

• Created an interactive Streamlit dashboard featuring AI-generated summary reports and real-
time visual analytics.

• Project Link: github.com/Alexorlin/Smart-Market-Competitor-Intelligence-Dashboard

SKILLS

• Programming Languages: Python (Expertise in NumPy, Pandas, Scikit-learn), SQL, Bash/Shell,
C#.

• Data Engineering & Databases: PostgreSQL, MySQL, ETL processes, Database Design &
Normalization, Query Optimization.

• Data Science Tools: NumPy, Pandas, Jupyter Notebooks, Git.

• Computer Science & Math: Probability Theory, Linear Algebra, Discrete Mathematics,
Algorithms & Data Structures.

• System & DevOps: Linux (User Management, Permissions), Networking (TCP/IP, HTTP).

LANGUAGES

• Ukrainian: Native

• English: B2 (Good)

HOBBIES

Programming hobby projects, Video games, Reading technical literature, Sports.

I agree to the processing of my personal data for the purposes of the recruitment process in
accordance with the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27
April 2016 on the protection of natural persons with regard to the processing of personal data and on
the free movement of such data, and repealing Directive 95/46/EC (GDPR).