Danylo

Danylo Shmorhun

Email: [відкрити контакти](див. вище в блоці «контактна інформація») Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
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GitHub
Date of birth: 16/01/2002 Nationality: Ukrainian

ABOUT I am a final-year student majoring in Applied Mathematics seeking a Data Science/ Machine
ME learning internship position. I have developed a strong passion for statistical data collection,
preparation, data engineering, and analysis. I have also gained experience working with various
programming languages and tools like Python, C++, and SQL. I am a quick learner, a dedicated
worker, and a 100% team player.

WORK EXPERIENCE
[ 08/2022 – 09/2022 ]
Front-End Developer
"Ongate solutions": start-up project in Domestic Security
City: Kyiv Country:
UkraineDone:
1. Log-in page
2. Page with house residents requests
Tech stack:
1. Vue
2. TypeScript
3. CSS (sass)
EDUCATION AND
TRAINING
[ 09/2019 – 06/2023 ]
Bachelor's in Applied Mathematics
Igor Sikorsky Kyiv Polytechnic Institute, IPT faculty
Field(s) of study: Mathematical methods of modeling, pattern recognition and computer vision
Participated in several university projects, including developing a machine learning model
for data classification and clustering; computer vision system for object detection.

Skills obtained:

1. Data science:
 Confidence intervals and estimation for deviation, mean and distribution.
Probability estimation. Least squares method
 Kolmogorov-Smirnov, chi-squared, asymptotic theory for statistical
hypothesis test
Repository Link
2. Machine Learning:
 Data preprocessing, exploratory data analysis, data splitting, plotting
 Linear regression, XGboost (XGBRegressor)
 KNN classifier, MLP classifier, Random Forest classifier, C-Support vector
classification
 K-Means clustering
Repository Link
 3. Computer vision:
 Spatial and frequency methods of image processing
 Color, morphological image processing
 Image segmentation
 Pattern recognition of numbers using tensorflow keras
Repository Link
4. SQL:
 SQL db creation, insertion, Database normalization (Normal Forms)
 Advanced SQL (regular expressions, JOINS, UNION, Subqueries, WITH
expressions)
 SQL triggers, procedures, encryption
Repository Link
5. Relevant university
programs:
 Probability Theory
 Mathematical Statistics
 Computational Complexity Theory
[ 02/2023 ]
Introduction to Data Science in Python

Coursera
Mastered:
1. NumPy
2. python 're', 'lxml' libraries for text parsing
3. Pandas (df and series manipulations, merge, groupby, apply, etc.)
4. Data preparation skills
Repository of assignments link
Certificate link
LANGUAGE SKILLS
Ukrainian - native
Russian - fluent
English – upper intermediate

DIGITAL SKILLS
Junior Data science
Python | Matplotlib | Scipy | Scikit-Learn | Pandas | Numpy | Jupyter Notebook
| SQL
Junior Web Developer
HTML, CSS (sass), VUE | JavaScript
Junior development skills
Git | Github | LaTeX
Basic
Linux | C++ | Seaborn

COMMUNICATION AND
INTERPERSONAL SKILLS
PERSONAL SKILLS
- Self-education
- Positive mindset
- Analytical thinking problem-solving