Yevhen

Yevhen If you are considering me for the position
of Data Scientist, I have relevant education
Pruhlo and experience in data analysis, statistical
processing and the use of statistical methods.
I also have programming and database skills.
My candidacy would be valuable for any
company seeking
a specialist with creative and problem-
solving thinking

Desired position Contacts Information

Data Scientist [open contact info](look above in the "contact info" section)

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

 Understanding of fundamental principles and concepts of
https://t.me/I_amEugene
machine learning
 Understanding of statistical methods and their application to data
analysis https://github.com/pruhlo/
 Experience working with Python and its scientific computing and
data analysis libraries, such as numpy, pandas, scipy, matplotlib, [open contact info](look above in the "contact info" section)
scikit-learn, and others
 Experience working with SQL for database management
 Experience in web scraping and data collection from websites
Language proficiency
using tools such as Requests and BeautifulSoup Pre-Intermediate Level
 Ability to prepare data for analysis, including removing unwanted
observations, fixing structural errors, managing unwanted Courses
outliers, and handling missing data
Data Science Foundation
 Ability to use data visualization tools and statistical methods to Main Academy, Kyiv 2023
uncover data set characteristics, such as sweetviz and pandas- Stepik courses (2022)
profiling libraries Fundamentals of Statistics,
 Experience in applying machine learning methods, including interactive SQL trainer,
linear regression, gradient descent, k-means method, logistic Data analysis and machine learning
regression, decision trees and random forests, as well as extreme Demo version of the course "Data Analyst"
gradient boosting Python Development
 Knowledge of basic concepts of git and github for version control Brain Academy, Zaporizhzhia 2019
and collaborative work on projects English
 Basic understanding of neural networks and experience working Polyglot, Zaporizhzhia 2019
with TensorFlow
 Ability for self-directed learning and information search,
including working with documentation and Stack Overflow

Tools
 Education and Qualification Hobbies and Interests
 Doctor of Science (pharmaceutical chemistry) 2019  Professional development
 Candidate of Science (pharmacology) 2012  Music
 Specialist (pharmacy) 2003-2008  Fishing

Employment History
Period Position held Education Useful experience gained in the position
2008-2009 Senior Pharmacist Pharmacist Internship
laboratory
2009-2010 Data mining, statistical significance
technician PhD candidate
testing, finding patterns in experimental
2010-2013 Assistant Vice-
data (probit analysis, correlation analysis)
Senior chairman of
2013-2016 visualization of results using MS Excel,
lecturer Trade Union
Statistica
2016-2018 of Workers
Application of Python programming
language for processing accumulated
experimental data, namely EDA, A/B
testing of hypotheses. Calculations of
getting
sample sizes for experimental research.
Doctor
Brain Checking the distribution of experimental
of
Academy data for normality. Mathematical
Science
2019 course justification for the selection of promising
degree
"Python tools based on the results of experimental
Development" research, mathematical justification for
substance dosage and extrapolation of
dosing to humans. Regression and
correlation analysis. Mathematical
calculations of salary and taxes -
development of a console application.
Online trainers HTML
Academy (HTML, CSS). Consultations on statistical processing of
2020 Head of
Associate Working with bootstrap-4 experimental data.
Experimental
professor documentation.
Research
Wrote and posted the website for the
Department Youtube lessons on
2021 experimental research department on
Django
hosting.
Stepik.org courses:
Mathematics for Data Science (function
Fundamentals of
limits, derivatives, gradient descent).
Statistics, interactive SQL
Refreshed knowledge of statistical
2022 trainer, Data analysis and
analysis methods. Learned minimal
machine learning Demo
theoretical aspects of databases and SQL
version of the course
language.
"Data Analyst"
Refreshed knowledge of Python, libraries
numpy, pandas, matplotlib, seaborn.
Learned all error metrics and standard
Main Academy “Data machine learning models in the sklearn
2023
Science Foundation” library. Built a neural network for photo
recognition. Completed numerous
laboratory works on machine learning and
visualization.