Кирило

Kyrylo Shamanskyi
As a data enthusiast student, I possess a strong foundation in statistical analysis , forecasting,
programming, and data visualization. Eager to expand my knowledge and contribute to the team's
success in accomplishing company objectives.

EDUCATION
[відкрити контакти](див. вище в блоці «контактна інформація»)
IT&Business Analytics
Ukrainian Catholic University
[відкрити контакти](див. вище в блоці «контактна інформація»)/2021 - Present, Lviv/Ukraine

Lviv, Ukraine
WORK EXPERIENCE
SKILLS
Junior Data Analyst
Python MySQL Philip Morris Ukraine
09/2023 - 11/2023, Lviv, Ukraine

Git Excel
Python programming assistant
Ukrainian Catholic University
Pandas Java R
09/2022 - 06/2023, Lviv/Ukraine

Power BI Flask

HTML CSS
PROJECTS
LaStrava (02/2023 - 06/2023)
Probability&Statistics Created an autonomous store for the LaStrava company, which produces restaurant-grade ready meals.
Gathered data. Defined the target audience. Сreated hypotheses and working with them. Financial model:
cost analysis for two formats, Profit&Loss, Break- even analysis.
Forecasting&Simulations
Price Predictor For Used Cars (03/2023 - 06/2023)
Conducted an analysis of the used car market, created a multiple linear regression model. Then, after
identifying the main factors affecting the price, created a model that can predict the price of a car

Face Recognition (03/2023 - 05/2023)
LANGUAGES We developed a program that identifies a person's face based on the provided dataset

English
Professional Working Proficiency Smart Float For Fishing (01/2020 - 05/2021)
Created a fishing device that help people with visual and hearing impairments to fish, by making remote
notifications with vibration and color change during biting with a significant signal transmission distance.
Ukrainian Implemented a float that assesses the current condition and a pocket device that will receive these signals.
Native or Bilingual Proficiency
Check The Integrity Of The Field Of View (01/2021 - 05/2021)
Implemented a game with an interesting script for checking the integrity of the visual field using Pygame.
During the game, gradation is performed and the field of vision is divided into good visibility and dead
INTERESTS zones.

Data Visualization
ACHIEVEMENTS
Data Manipulation and
Analysis Took second place at the All-Ukrainian Competition J.A.S, section Multimedia systems,
and Software (2021)
Statistical Modeling
Took second place at the All-Ukrainian Competition J.A.S, section Electronics, and
Instrument-making (2021)
Read literature on
programming or
business analytics

Programming to realize
ideas