Anna

Anna Mamchych
ML Engineer | Data Scientist
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PROFILE
Creative and disciplined data science enthusiast with a dual academic background in mathematics and informatics. Experienced
in data visualization, statistical analysis, and programming, with a strong interest in AI and machine learning. Outside of my
professional interests, I enjoy drawing, playing chess, as well as exploring the rich history of Ancient Egyptian mythology.
❖ Machine Learning Researcher 04/2025 – 11/2025
UAM and ID-UB
Grant-funded project
• Conducted ML research funded by the 'Excellence Initiative – Research University grant'.
• Collected and preprocessed CT images; created a new annotated dataset (to be published on Kaggle).
• Trained and evaluated several CNN architectures for rare brain pathology detection (6/8 model’s accuracy > 90%).
• Tools: Python, TensorFlow, OpenCV, NumPy, Pandas, Scikit-Learn.
❖ Programming trainer for children and youth 03/2025 – present
Coding Giants
• Led programming classes about Python, ML and AI, C++, C#, HTML and Scratch for youth.
❖ IT department Intern 06/2023 – 08/2023
PEPCO
• Processed, transformed, interpreted and visualized data.
• Managed and analyzed data using Excel functions, Pivot Tables and ERP.
• Developed reports in Power BI.
EDUCATION
❖ MSc in Data analysis and processing / Data Science
The Adam Mickiewicz University of Poznan
❖ BSc in Statistics and Data Analysis
The Adam Mickiewicz University of Poznan
• Thesis Project: Statistical analysis of the impact of the introduction of the "Safe Credit 2%" program on apartment prices in Poland (with
Python).
❖ BSc in System Analysis and Management. Data Science
The Ivan Franko National University of Lviv
Research Projects:
• Three-step method of minimizing a function in a basis gradient method (with Python).
• Three-step method of minimizing a function in a basis difference analogue of the Davidon-Fletcher-Powell method (with Python).
SKILLS
o Programming: Python (Numpy, Pandas, Scikit-learn, Requests, Flask, OpenCV, TensorFlow, PyTorch); R, C++, HTML, CSS
o Data: SQL (PostgreSQL), NoSQL (MongoDB, Neo4j), Tableau, Excel | Tools: GitHub, Docker, Power BI
o Soft: Flexibility of mind, Attention to details, Critical and Analytical Thinking, Time Management, Problem-solving, Communication,
COURSES
▪ DEEP LEARNING FOR BIOSCIENTISTS THE UNIVERSITY OF NOTTINGHAM
▪ Convolutional Neural Networks for Medical Images Diagnosis Udemy
▪ Umiejętności Jutra AI Google and SGH
▪ Applications of AI for Anomaly Detection; Getting Started with Deep Learning NVIDIA
ADDITIONAL ACTIVITIES
❖ Speaker at LIV International Biometrical Colloquium Conference- "Comparing Machine Learning Methods in Detecting Fahr's Disease"
❖ Speaker at Polish National Conference of Mathematics Students "Oblicze" - "Gradient, but it's not about colors - gradient methods
beyond mathematics"
❖ Speaker at Poznań Festival of Science and Art - "With Great Power Comes Great Responsibility! Artificial Intelligence in Creativity"
❖ Vice President Of KNM – Koło Naukowe Matematyków(Scientific Circle of Mathematicians)
❖ Member of the Data Analysis and Processing Curriculum Committee
❖ Volunteer at “I Love Marketing & Technology” Conference - Supporting the conference organization and coordinating the event
ACHIEVEMENTS
• Study@Research XI Edition - Laureate of the Excellence initiative- Research University (ID-UB) grant program.
• Women in Tech Camp - Participant of a 4-day camp for the most talented STEM students from Polish universities.
• New Technologies for Women - Laureate of the NTDD Ukraine grant program prize sponsored by Intel and Perspektywy.
LANGUAGES
English – Polish – Ukrainian