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Data scientist
- Рассматривает должности:
- Data scientist, AI engineer, Data analyst, Data engineer
- Город проживания:
- Винница
- Готов работать:
- Винница, Удаленно
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Daria Iskusnykh
Graduate student in Data Science and Machine Learning with basic experience in
data analysis, neural networks, and visualization. I learn quickly, have analytical
thinking skills, and pay attention to detail. I am ready to work productively in a
team and easily adapt to new tasks and changes in the technological sphere. I
would be glad to have the opportunity to join your team.
PERSONAL DETAILS PROJECTS
[открыть контакты ](см. выше в блоке «контактная информация») Bachelor Thesis "Information System for Analyzing the Quality of
[открыть контакты ](см. выше в блоке «контактная информация») Object Recognition in Pictures"
Linz, Austria Python, Pandas, NumPy, Jupyter Notebook, YOLOv8, Google Cloud
Vision API, Clarifai
SOFT SKILLS
Assessing the accuracy of neural networks in image recognition,
focusing on algorithms' resistance to CAPTCHA. Comparing several
Adaptability open-access algorithms. Investigating methods of distorting
Attention to detail images, making them difficult for neural networks but readable for
Flexibility humans. Assessing the effectiveness of human vision vs. image
Willingness to learn recognition algorithms.
Stress management
Responsibility Investigating bias of recommended systems datasets
Conflict resolution Python, Pandas, NumPy, Decision Tree Classifier, Bias Detection,
Data Analysis
LANGUAGE Several datasets from open WEB sources and/or web scraping with
user interaction data were analyzed to identify bias in
ENGLISH - B2 (IELTS 2020) recommendations. Key types of bias in data were identified
GERMAN - A2 (Position bias, Exposure bias, Popularity bias). Analysis of the
UKRAINIAN - Native influence of element popularity on the results of recommendations
RUSSIAN - Native and methods for solving the problem was considered.
Custom GPT AI Assistant
EDUCATION Python, OpenAI GPT, Prompt Engineering, AI in Education
Explored the application of AI in teaching. Developed a custom GPT
Johannes Kepler Universität Linz (JKU Linz)
assistant for teaching a specific subject using Prompt Engineering.
Bachelor Artificial Intelligence
Configured a response system to ensure academic integrity and
2021 - now
personalized learning.
Vasyl' Stus Donetsk National University (DonNU)
Power BI Data Visualization & SQL Analysis
Bachelor Computer Science
Power BI, SQL (MySQL, PostgreSQL), Data Analysis
2020 - 2024
Experience with Power BI includes creating interactive reports,
CERTIFICATES processing data in Power Query, and using DAX calculations to
analyze trends and sales. Data models and relationships between
tables were developed.
Operations Research: Optimization Algorithms
Coursera, National Taiwan University Comparative Analysis of Classification Algorithms (ML Pattern
Classification)
Маркетинг IT-продуктів Python, Machine Learning, Classification, k-Fold Cross-Validation,
(IT-products marketing) Model Evaluation
EdEra, Genesis IT
Conducted a comparison of several machine learning algorithms
Створення і розвиток IT-продуктів (Naïve Bayes, Decision Trees, k-NN, Random Forest) using 10-fold
(Creation and development of IT-products) cross-validation. Comparative analysis of model accuracy and error
EdEra, Genesis IT metrics.
Graduate student in Data Science and Machine Learning with basic experience in
data analysis, neural networks, and visualization. I learn quickly, have analytical
thinking skills, and pay attention to detail. I am ready to work productively in a
team and easily adapt to new tasks and changes in the technological sphere. I
would be glad to have the opportunity to join your team.
PERSONAL DETAILS PROJECTS
[
[
Linz, Austria Python, Pandas, NumPy, Jupyter Notebook, YOLOv8, Google Cloud
Vision API, Clarifai
SOFT SKILLS
Assessing the accuracy of neural networks in image recognition,
focusing on algorithms' resistance to CAPTCHA. Comparing several
Adaptability open-access algorithms. Investigating methods of distorting
Attention to detail images, making them difficult for neural networks but readable for
Flexibility humans. Assessing the effectiveness of human vision vs. image
Willingness to learn recognition algorithms.
Stress management
Responsibility Investigating bias of recommended systems datasets
Conflict resolution Python, Pandas, NumPy, Decision Tree Classifier, Bias Detection,
Data Analysis
LANGUAGE Several datasets from open WEB sources and/or web scraping with
user interaction data were analyzed to identify bias in
ENGLISH - B2 (IELTS 2020) recommendations. Key types of bias in data were identified
GERMAN - A2 (Position bias, Exposure bias, Popularity bias). Analysis of the
UKRAINIAN - Native influence of element popularity on the results of recommendations
RUSSIAN - Native and methods for solving the problem was considered.
Custom GPT AI Assistant
EDUCATION Python, OpenAI GPT, Prompt Engineering, AI in Education
Explored the application of AI in teaching. Developed a custom GPT
Johannes Kepler Universität Linz (JKU Linz)
assistant for teaching a specific subject using Prompt Engineering.
Bachelor Artificial Intelligence
Configured a response system to ensure academic integrity and
2021 - now
personalized learning.
Vasyl' Stus Donetsk National University (DonNU)
Power BI Data Visualization & SQL Analysis
Bachelor Computer Science
Power BI, SQL (MySQL, PostgreSQL), Data Analysis
2020 - 2024
Experience with Power BI includes creating interactive reports,
CERTIFICATES processing data in Power Query, and using DAX calculations to
analyze trends and sales. Data models and relationships between
tables were developed.
Operations Research: Optimization Algorithms
Coursera, National Taiwan University Comparative Analysis of Classification Algorithms (ML Pattern
Classification)
Маркетинг IT-продуктів Python, Machine Learning, Classification, k-Fold Cross-Validation,
(IT-products marketing) Model Evaluation
EdEra, Genesis IT
Conducted a comparison of several machine learning algorithms
Створення і розвиток IT-продуктів (Naïve Bayes, Decision Trees, k-NN, Random Forest) using 10-fold
(Creation and development of IT-products) cross-validation. Comparative analysis of model accuracy and error
EdEra, Genesis IT metrics.
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