About Me

I help companies understand their customers through data and behavioral science.

I combine behavioral science, NLP, and data analysis to extract actionable insights from customer feedback at scale. I've built systems that analyze thousands of customer reviews to detect emerging product risks, designed churn prediction models identifying at-risk customers 3 months in advance, and created automated sentiment analysis pipelines that turn messy qualitative data into clear business strategy.

What I deliver: Customer sentiment analysis | Churn prediction models | LLM-powered feedback analysis | Behavioral segmentation | Purchase pattern analysis | Voice of Customer (VoC) programs

Recent work: Built early warning system analyzing 1,000+ consumer health product reviews to detect safety issues before they became PR crises. Designed customer lifetime value optimization model tracking behavior across 7 segments, identifying 12% efficiency opportunity. Increased audience engagement 40% through data-driven behavioral segmentation.

Based in Tokyo, Japan | Available for remote consulting worldwide

✈️ Worked across: Ukraine | Belgium | Germany | Japan | 18+ countries

Languages I am fluent in: Ukrainian (native) | English (C1) | Japanese (N2) | German (C1)

Background:

  • Behavioral Science: M.A. Psycholinguistics (understanding how people process information and make decisions)
  • Technical Training: Data Science & AI (Le Wagon Tokyo), ML4Good AI Safety, MIT Data Analysis
  • Research: Behavioral analysis, experimental design, statistical modeling

Technical Skills: Python (NLP, sentiment analysis, predictive modeling) | SQL | LLM integration (GPT, Claude) | BERT & transformer models | Statistical analysis | Tableau/data visualization | Customer analytics platforms

Industries served: Consumer products | E-commerce | SaaS | Health tech | International development

Looking for: Customer insights projects | Behavioral analytics consulting | Churn prediction & retention optimization | Customer feedback analysis (reviews, surveys, support tickets) | Market research with advanced analytics

Portfolio


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Language Learning Digital Novel

Psycholinguistic Language Learning Digital Novel

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Class Feedback NLP Analysis

BERT-Based Semantic Analysis of Japanese Student Curriculum Feedback

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Japan Suicide Data Pipeline

Cost-Effectiveness of Youth Suicide Prevention Program: Police Statistics

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Analysis Consumer Video Reviews

Health Claim Perception and Consumer Risk: Meal Replacement Case Study

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AI usage Tableau project

Tableau Analysis on AI Usage in Japanese Workplace

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Media & Appearances

2025

AI Agent Hackathon Tokyo
AI Agent Hackathon by MeltingPot Tokyo (2025)
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2024

Peace Advocacy Global Voyage
Peace Advocacy Global Voyage With Peace Boat NPO (2024)
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TV appearance about multicultural society
Chiba TV Talk Show Guest on Multicultural Society (2024)
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2023

Talks on Fake News and Disinformation
University Guest Lecturer on Fake News and Disinformation (2023–2025)

2021

Behavioural Academic Research Recording
Research on Behavioural Analysis: Recording (2022)
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Magazine feature at Chiba International Bureau
Article for Chiba International Bureau Magazine (2021)
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2020

ASCENT Science Research Program Report
ASCENT Science Research Program Report (2020-2021)
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