Юлія

YULIIA
YULIIA
HABA

CONTAC T
PROFILE
INFORM AT ION
[open contact info](look above in the "contact info" section) I am a detail-oriented QA Engineer who wants to bring her knowledge and
experience into Data Science/Data Analysis positions. I have more than half
a year of working experience in an ML/AI-driven logistic project in which
[open contact info](look above in the "contact info" section) I was responsible for software and hardware testing, bugs reporting as well
as creating test cases, test suites, updating and maintaining documentation.
[open contact info](look above in the "contact info" section)
I have foundational knowledge of Machine Learning Algorithms, Python,
https://www.linkedin.com OOP. Currently, I am pursuing my degree as a fourth-year student of the
/in/yuliia-haba-530a00272 Lviv Ivan Franko National University, Faculty of Mechanics, and
Mathematics, "Data Analysis and Mathematical Modelling". My education
/
gives me a substantial knowledge of mathematics and my mathematical
SK IL LS abilities provide me with strong analytic skills, problem-solving ability, and
attention to detail.
 Solid knowledge of Mathematics
(Mathematical Analysis, Linear
Algebra, Statictics, Probability theory,
Number Theory etc.)
EDUCAT ION

DATA ANALYSIS AND MATHEMATICAL MODELLING
 Solid knowledge of Python (including
numpy, matplotlib, pandas, scikit-learn, Lviv Ivan Franko National University, Faculty of Mechanics, and
TensorFlow, Keras), OOP Mathematics
Lviv, Ukraine | 2021 - Present
 Machine Learning and Deep Learning

 Statistical analysis WORK EXPE R IENC E

 SQL, MySQL QA ENGINEER - LOGIVATIONS

 Git and Github Lviv, Ukraine | March 2024 – Present

 Linux command line, docker Working on the project which created innovative logistic decision of
Digital Twin Powered by Artificial Intelligence to be able to track goods
 Software and hardware testing throughout the entire warehouse and optimize warehouse operations.
During my work I was responsible for software (front-end/backend parts
 SDLC/STLC, QA processes as well as camera server part) and hardware testing (cameras), creating test
cases and scenarios, building customers and test models, writing
 R programming language documentation, and collaborating with engineers.

 Effective communication skills
C ERT IF IC AT IONS & COU RSES

 Deep Learning Specialization from DeepLearning.AI (4 courses):
1. Neural Networks and Deep Learning
LANGU AGES 2. Improving Deep Neural Networks: Hyperparameter Tuning,
Regularization and Optimization
 Ukrainian | Native 3. Structuring Machine Learning Projects
 English | Upper-Intermidiate (B2) 4. Convolutional Neural Networks
 French | Pre-intermediate (A2)
 Excel Skills for Data Analytics and Visualization Specialization
(Macquarie University)

 Applied Data Science with Python (University of Michigan) (2
courses)