Анастасія

Anastasiia Kharchenko
Data Analyst
Phone
[открыть контакты](см. выше в блоке «контактная информация»)
Email
[открыть контакты](см. выше в блоке «контактная информация»)
Telegram
@anastasiia_kh_dev
GitHub
KharchenkoAnastasia
Scopus ID
57211625706
SKILLS
Data Analysis
• Excel & Google Sheets
• Python (Pandas, NumPy)
• SQL (PostgreSQL)
• Data Cleaning & Analysis
• Exploratory Data Analysis
• Statistics / Probability
AI & ML
• Scikit-Learn, TensorFlow
• Prompt Engineering
• RAG architecture
• OpenAI API
• LLM Evaluation
• Embeddings & Vector Search
Tools
• Docker
• GitHub Actions
• Label Studio
• Pytest, Mypy, Ruff
CERTIFICATION
TensorFlow Developer Certificate
EDUCATION
ML Zoomcamp from DataTalks.Club
Sep 2024 – Jan 2025
Mentoring Program from Vona Tech Community
Jun – Sep 2024
Data Science Summer Camp at Lemberg Solutions
Jul – Oct 2023
ML Bootcamp Ukraine from Google
Jul – Sep 2023
Master | Bachelor
Software Engineering
Zaporizhzhia Polytechnic
2016 – 2022
SUMMARY
Data Analyst with 4 years of experience analyzing large volumes of seller data on a marketplace. I have experience in business process automation; in particular, I developed an AI assistant (LLM, vector search, semantic analysis) for ad classification, which significantly reduced manual processing time and increased operational efficiency.
I regularly participate in training camps and mentoring programs, demonstrating my commitment to continuous professional development in the field of data analytics. I am eager to apply my expertise in data analysis, AI-powered solutions, and process automation to deliver impactful, data-driven solutions that directly enhance business outcomes.
WORK EXPERIENCE
Python AI Internship - Meduzzen
Dec 2025 – Feb 2026
• Developed AI assistant with RAG architecture using OpenAI APIs
• Integrated embeddings and vector search for context-aware responses
• Implemented audio transcription via OpenAI Whisper API, automatically indexing content for semantic search
• Implemented tool-calling, async processing, and structured prompt design
• Improved response quality through similarity thresholds and fallback strategies
Content Analyst - Jiji
Mar 2022 – Present
• Developed an AI-powered moderation assistant to automatically classify listings and identify prohibited content using LLMs (OpenAI API), vector databases, and semantic search, significantly reducing manual moderation time
• Collected, structured, and analyzed user behavior data to identify trends, anomalies, and potential risks
• Prepared analytical reports to support moderation decisions and improve platform safety
PERSONAL PROJECT
Ship Segmentation (Kaggle Airbus Ship Detection Challenge)
Developed a U-Net based deep learning model to perform binary segmentation of ships in satellite images.
Tech stack: TensorFlow, Scikit-Learn, NumPy, Docker, GitHub Actions
GitHub: Airbus-Ship-Detection
ACHIEVEMENTS
15 scientific publications in Scopus, h-index=5
3rd place in the All-Ukrainian competition of student scientific works in the specialty "Computer Science" 2020/2021 for the research paper "Modified genetic algorithm to determine the location of the distribution power supply networks in the city"