DEEP LEARNING FOR BIOSCIENTISTS
THE UNIVERSITY OF NOTTINGHAM
About me
A creative and disciplined individual with a strong background in the arts, having graduated after seven years of study at an art school. I am passionate about continuous self-improvement, regularly attending industry conferences, seminars, and events related to the IT world. Outside of my professional interests, I enjoy strategic thinking through chess, as well as exploring the rich history of Ancient Egyptian mythology. I maintain an active lifestyle, regularly going to the gym, and bring a combination of creativity, problem-solving skills, and dedication to any project or team I am part of.
Recent projects
Wasted
Team project
Used technologies: Android Studio | Flutter | Kotlin | Tensorflow - TFLite | Python
The main idea of the project was to create an application that would help determine which bin to throw garbage in. As well as spread awareness of the importance of proper garbage sorting and caring for the environment.The program allows to take a photo and, using a trained classifier, identify which trash can to throw the object in. In addition, the application provides information about trash cans, what you can/cannot throw in them. There is also a quiz available to help you test your knowledge.
Fahr's disease detection
Research project
Used technologies: Python | Jupyter | VS Code
Used libraries: pandas | numpy | matplotlib | cv2 | random | time | PIL | Tensorflow | Keras | sklearn | splitfolders | os | seaborn | imutils
This project aimed to investigate the effectiveness of various CNNs in detecting a rare brain pathology - Fahr's disease, using CT images. As part of the study, a new unique dataset was created, which will soon be available on Kaggle.
Statistical analysis of the impact of the introduction of the "Safe Credit 2%" program on apartment prices in Poland
Bachelor thesis
Used technologies: Python | Jupyter | VS Code
Used libraries: pandas | numpy | matplotlib | statsmodels
This project aimed to show how the government's "Safe Credit 2%" programme has affected housing prices in Poland. The analysis used data on housing prices from 2010 to 2022 in the 5 largest cities of Poland, taken from the GUS website, as well as data for 2023 on housing prices from Kaggle. The research used multiple regression analysis and repeated measures analysis.
Movie analysis by Tableau
Course project
Used technologies: Tableau
This project aimed to show ability to use Tableau for creating dashbords.
Certificates
Convolutional Neural Networks for Medical Images Diagnosis
Udemy
Umiejętności Jutra AI
Google and SGH
Applications of AI for Anomaly Detection
NVIDIA
Getting Started with Deep Learning
NVIDIA
Google Analytics for Beginners
Google Analytics Academy
Advanced Google Analytics
Google Analytics Academy
M320: MongoDB Data Modeling
MongoDB
12 MongoDB proofs of competition
MongoDB
C1 Advanced
EF SET Certificate
Diplomas
New Technologies for Women
Perspektywy and Intel
Women in Tech Camp
Perspektywy
Other certificates
Social activity
Speech at LIV International Biometrical Colloquium Conference
Polish Biometrical Society
Representing KNM during Job Market at UAM
KNM and UAM
Speech at National Conference of Mathematicians' Students "Oblicze"
KNM and UAM
Speech "With great power comes great responsibility! - Artificial intelligence in creativity" .
Poznański Festiwal Nauki i Sztuki
Polish Biomedical Engineering Conference
PBEC and PP
EYE2025 (European Youth Event)
European Parliament in Strasbourg
Transforming live-cell analysis with AI
DDN