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Был меньше недели назад

Мужчина

Москва, не готов к переезду, готов к командировкам

Data scientist

Специализации:
  • Аналитик
  • Дата-сайентист

Тип занятости: полная занятость, частичная занятость, проектная работа/разовое задание, стажировка

Навыки

Уровни владения навыками
Computer vision
Machine learning
Python
Neural network
DSP
Data science

Обо мне

From 2017 to 2023 I study at the Bauman Moscow State Technical University (BMSTU). I took part in scientific conferences, in technology exhibitions, including as a speaker. I am especially good at completing term papers and projects, doing them with high quality and on time. When working with university assignments, I use modern means and algorithms for calculation and design. Examples of such tasks: program code of algorithm for calculating optimal parameters of a confocal resonator; project on the topic "Light-energy calculation of the tracking system for airborne objects"; program code for studying the effects of the function of a entrance pupil on a light wave passing through it; etc. One of these tools is the Python programming language, which I started learning two years ago. Skills acquired over the years of studying the Python language: - Knowledge of the basics of the Python language - Knowledge of the basics of object-oriented programming. - Ability to conduct exploratory data analysis (EDA) - Understanding how the machine learning model works and how adapt it for any project. Preparing data for training. Knowledge and ability to use basic machine learning algorithms (regression, classification, cluster models). Ability to assess the quality of the model. - Knowledge of digital signal processing (DSP) with Python - Knowledge and ability to work with algorithms for processing and analyzing images and video data. - Ability to create classifiers (using not only CNN) for pattern recognition in images and video data. I also have experience with YOLO technology. - used technologies: NumPy, Pandas, Matplotlid, Seaborn, SciPy, Sklearn, PyQt5, OpenCV, Keras, TensorFlow, SymPy. - I have skills with git version control system (My GitHub with projects https://github.com/ivanyshkabaym) In the past three years, I have been working on projects in the field of digital signal processing and classification of acoustic influences recorded by a phase-OTDR at the Photonics and IR Technology Scientific Center at the BMSTU. I am distinguished by: diligence, resistance to stress, dedication. Ability to search for information (including in foreign sources), to understand other people's projects. I work well in a team, I have a pronounced sociability, I can resolve conflicts and compromise. I quickly generate unusual ideas - I use brainstorming, mind mapping and other techniques. I am actively involved in sports.

Высшее образование

2023
Высшее образование
BMSTU, Moskow
Optoelectronic devices and systems (engineer)

Знание языков

Русский — Родной

Английский — B1 — Средний

Повышение квалификации, курсы

2022
Профессия Data Scientist
Skillbox

Гражданство, время в пути до работы

Гражданство: Россия

Разрешение на работу: Россия

Желательное время в пути до работы: Не имеет значения