Bohdan Chuprynka

Data Scientist

https://www.opentalent.in/bohdan-chuprynka

Ohio, United StatesMember since June 24, 2026

Key Strengths

Demonstrated interest in AI/ML and natural language processing through personal projects like PersonaGPT, Sentiment-Analysis-Model, and Persona-RAG.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Projects like Stock-Sales-Prediction indicate an understanding of predictive modeling.
Familiarity with RAG (Retrieval-Augmented Generation) architectures, relevant for advanced NLP applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach, particularly in AI/ML and NLP. The diversity of projects, including those involving Obsidian, iCloud dictation, and Claude Code skills, suggests an innovative and problem-solving mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align well with a Data Scientist role focused on AI/ML.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

Persona-RAG

June 2, 2026 – Present

Retrieval-augmented Telegram bot that replies like you, grounded in your real chat history.

View Project

skills

May 19, 2026 – Present

Personal Claude Code skills monorepo: calendar planning, iPhone voice-dictation capture, Obsidian wiki reconciliation.

View Project

sync-phone

May 17, 2026 – Present

iPhone voice-dictation capture to Obsidian vault pipeline. A Claude Code skill that drains your iCloud dictation inbox, summarizes, routes by vault, archives, and clears.

View Project

dream-skill

May 13, 2026 – Present

Reconcile your Obsidian wiki against Claude Code session signals — flag stale, missing, and contradicted facts for review. Solves the stale-LLM-wiki problem.

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protege-voice-assets

May 2, 2026 – Present

protege-voice-assets — repository

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BohdanChuprynka

March 15, 2026 – Present

BohdanChuprynka — repository

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Policy-RAG

January 22, 2026 – Present

Policy-RAG — repository

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PersonaGPT

August 9, 2024 – February 14, 2025

Combining the idea of personal writing style with GPT technology.

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Stock-Sales-Prediction

July 18, 2024 – Present

Model for predicting stock sales in different regions.

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Sentiment-Analysis-Model

April 27, 2024 – Present

Sentiment-Analysis-Model — repository

View Project

Key Strengths

Demonstrated interest in AI/ML and natural language processing through personal projects like PersonaGPT, Sentiment-Analysis-Model, and Persona-RAG.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Projects like Stock-Sales-Prediction indicate an understanding of predictive modeling.
Familiarity with RAG (Retrieval-Augmented Generation) architectures, relevant for advanced NLP applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Bohdan Chuprynka

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit