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YAROSLAV KORCH [open contact info](look above in the "contact info" section)

CS STUDENT
[open contact info](look above in the "contact info" section)

Lviv, Ukraine
An enthusiastic student with a keen interest in learning. I thrive on confronting
real-life challenges, predominantly in applied mathematics and coding.

Education Relevant Courses: Calculus, Probability & Statistics, Algorithms and
Data Structures, OOP, Principles of Computer Organization, Linear
Bachelor's Degree 2021-Present Algebra, Web Dev.
Ukrainian Catholic University Average Grade: 95.8

Web Computing Course Summer 2022 An online English course.
DePaul University JavaScript, HTML and CSS; server-side programming skills.
Communication and Soft skills

Online courses Spring 2023 Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning,
Coursera: DL Courses Regularization and Optimization
Structuring Machine Learning Projects

Experience At my first year of studying at UCU I proved great skills at Calculus,
so the next year I was chosen as a Teacher Assistant.
Fall 2022 - Winter 2023 I have created interesting labs for freshmen, helped them with
Calculus Teaching Assistant learning new topics and conducted consultations when possible.

Spring 2023 I developed a NN framework in C++, which supported ANN, CNN,
and parallelization with a PipeDream algorithm.
Neural Network Framework Report

Projects My team decided to analyze how top music charts changed 10 months
before the full scale invasions, after it and up until recent days.
The data was taken from the audio and media streaming service
Fall 2022
“Spotify”.
Ukrainian Spotify Analysis Report

I developed a dynamic website that allows users to easily search for
Spring 2023 movies based on their preferences using multiple filters. Leveraging my
skills in React, I implemented complex queries to interact with a
Interactive Movie Search Database API, ensuring efficient and accurate retrieval of movie data.
with Filters GitHub

My team applied both ICA and NMF algorithms to tackle
Spring 2023 the cocktail party problem, where multiple sound sources are mixed
Audio Source Separation together within one recording. The objective of the project was to
separate the mixed audio into original sources.
Report