Лідія

Lidiia Horbach
Junior Data Analyst / Data Scientist / Product Analyst
Hamburg, Germany · [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn ·

SUMMARY
Recent graduate with a Bachelor’s degree in Statistics and a strong mathematical background. Experienced
in Data Science, Machine Learning (Computer Vision), and Product Analytics. Proficient in the full data
lifecycle—from data collection and annotation to building predictive models and visualizing business metrics.
Fast learner with strong organizational and leadership skills.

SKILLS
• Programming Languages: Python (Pandas, NumPy, PyTorch, Ultralytics), SQL, R.
• Tools & Technologies: Tableau, Docker, CVAT, Google Colab, Unix/Linux Terminal, Git, Google Sheets
(Advanced).
• Hard Skills: Data Analysis, Product Analytics (A/B testing, Unit Economics, Product Metrics), Machine
Learning, Deep Learning, Computer Vision (Object Detection, YOLOv11), OCR, Statistical Modeling.
• Soft Skills: Leadership, Project Management, Teamwork, Time Management.
• Languages: Ukrainian (Native), English (B2), German (A1).

EXPERIENCE
Data & Analytics GmbH Hamburg, Germany (Remote)
Intern / Trainee in Machine Learning & Computer Vision Jan 2025 – Mar 2025
• Topic: Data Manipulation for AI Computer Vision task of Object Detection on Video Data.
• Worked with artificial neural network architectures (perceptrons, hidden layers, activation functions) and
the PyTorch library.
• Configured the development environment using Docker and navigated the Unix terminal.
• Annotated hockey match video data (classes: player, referee, goalkeeper) using CVAT.
• Utilized the Ultralytics framework to prepare data, tune, and train the YOLOv11 neural network in
Google Colab for real-time object detection.
• Investigated and successfully resolved model overfitting issues.
• Manager’s Evaluation: "Excellent" (100/100). Recognized for rapid assimilation of new concepts and high
efficiency.

EDUCATION
State University of Trade and Economics Kyiv, Ukraine
Master of Science, Systems Analysis and Data Science (Distance Learning) Sep 2026 – Present

Taras Shevchenko National University of Kyiv Kyiv, Ukraine
Bachelor of Science, Faculty of Mechanics and Mathematics, Major: Statistics 2022 – 2026 Graduated: June
2026

COURSES & CERTIFICATIONS
Product IT Analytics — Quarks & Genesis 2026
Intensive 3-month program (16 modules) on product analytics
• SQL: Wrote complex queries (JOINs, Window Functions, CTEs) for data extraction and transformation.

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• Python: Utilized Pandas and NumPy for Exploratory Data Analysis (EDA), data cleaning, and dataset
preparation.
• BI & Visualization: Built interactive dashboards in Tableau to track key product performance indicators.
• Product Metrics: Analyzed Retention, LTV, CAC, ARPU, and funnel conversions.
• A/B Testing & Unit Economics: Designed experiments, calculated statistical significance, and evaluated
the profitability of product decisions.

ACADEMIC & PET PROJECTS
• Mathematical Text Recognition System (OCR): Participating in a scientific project to build computer
vision models for recognizing handwritten math tests. Working with OCR algorithms to digitize complex
mathematical formulas and symbols.
• Music Popularity Analysis (Coursework): Analyzed data retrieved via the Spotify API. Developed and
applied a Multi-Layer Perceptron neural network in Python to identify trends and predict track popularity.
[Link to GitHub]
• Statistical Modeling in R: Developed scripts for hypothesis testing, built regression models, and applied
Monte Carlo methods to solve analytical problems. [Link to GitHub]

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