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Data Science specialist

Рассматривает должности:
Data Science specialist, Data engineer, Data researcher, Data Entry Operator, Data scientist, Data annotator, Data labeling specialist
Возраст:
47 лет
Город проживания:
Кропивницкий
Готов работать:
Удаленно

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CONTACTS IRYNA KOSENKO
[открыть контакты](см. выше в блоке «контактная информация»)
DATA SCIENTIST
[открыть контакты](см. выше в блоке «контактная информация») SUMMARY
I am a career-changer from public finance with completed training in Data Science,
LinkedIn including data analysis, visualization, Python libraries, and core machine learning
concepts. Currently working as an IT instructor teaching Python, HTML/CSS, and
GitHub Roblox to children, which keeps my fundamentals sharp and helps me explain
complex concepts clearly to learners with different starting levels. Building hands-on
experience through pet projects in data analysis, NLP, and backend development, with
Kaggle
a particular interest in practical AI/ML applications to real-world problems. Now
actively looking for remote opportunities in data science and analytics where I can
Telegram combine analytical thinking, technical skills, and clear communication of results.
SKILLS
Kropyvnytskyi, Ukraine
Python for Analytics & Automation
Data processing using Pandas and NumPy
Working with dates and time zones. automating data collection and updates
EDUCATION Data Analysis & Visualization
Exploratory data analysis (EDA) with Pandas and Matplotlib
DAN.IT | 2025 - 2026 Cleaning and transforming raw datasets
Data Science Training and evaluating classification and regression models (Scikit-learn)
Feature engineering and cross-validation
Basic neural networks with TensorFlow
SCHOOL++ | 2022 - 2024 Developed backend REST APIs
Computer Science Express.js/Nest.js/Flask in educational pet projects
Designed and implemented backend routes methods
Stanford CSA106 + CSB106
Worked with relational databases (SQL)
Backend (Node.js) Tools & Environment
Version control with Git, GitHub, GitHub Actions
CENTRAL UKRAINIAN Gained hands-on AWS experience through pet projects
Docker basics
NATIONAL TECHNICAL
UNIVERSITY | 1996 - 2001
PROJECT
Fashion product review
Accounting and Audit
NLP classification of fashion product reviews: predicting rating (1–5)
and product recommendation (binary).
CERTIFICATIONS What was done: classical NLP pipeline, Bag-of-Words baseline,
followed by a BiLSTM model with two inputs.
Technologies: Python, spaCy, scikit-learn, TensorFlow/Keras, SciPy,
Hillel IT School | Prompt
pandas, NumPy.
Engineer: A Complete Practical
Metrics: F1-score, classification report.
Guide 2026 Credit Card Fraud Detection
Binary classification of fraudulent transactions using neural networks.
Google IT Support Professional Technologies: Python, TensorFlow/Keras, scikit-learn, pandas, NumPy.
Certificate 2024 Metrics: precision, recall, F1-score, ROC-AUC.
EXPERIENCE
Google Cybersecurity
Professional Certificate 2024 Logika IT school 2024 - PRESENT
Python/HTML/CSS teacher for children
Teach classes in Python, HTML/CSS, and Roblox Studio
Conduct both individual and group classes
LANGUAGES Explain complex concepts in a simple, child-friendly way
Provide regular feedback to parents, help students build projects
ENGLISH - B1 (IN PROGRESS) School++
2023 - 2024
Peer Code Reviewer (Volunteer)
Reviewed fellow students' code during the Backend course, providing
feedback on readability, structure, and clean code practices

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