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V'yacheslav SnozVS
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V'yacheslav Snoz

@vyacheslavsnoz

AI/ML Engineer at GlobalLogic building production LLM agents and Hitachi financial validation systems.

Ukraine
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At GlobalLogic, I build production LLM agents and workflows for Hitachi, including a financial report validation system that reconciles figures across four Excel reports and traces discrepancies to their source. My AI workflows have cut document verification time by about 90%.

I also designed a Linux-based workflow that runs the client's original VBA macros in an on-demand Windows and Excel runtime on AWS EC2, avoiding about $2,600 per year in licensing per bot. I present solution designs, results, and next steps directly to Japanese Hitachi stakeholders in English.

As a freelance data scientist and AI/ML engineer, I delivered data science, machine learning, and automation projects for clients. One project forecast volatility-index and ETF direction using cross-asset features and walk-forward evaluation.

In a freelance BTC trading project, I combined PPO, A2C, and TD3 with a deterministic risk engine; on a held-out 372-day test, it achieved 15.82% alpha versus Buy & Hold and reduced maximum drawdown from 47.86% to 19.90%. I also combined YOLO object detection with a PPO policy for an autonomous drone, testing it first in simulation and then on a physical drone.

Experience

Work history, roles, and key accomplishments

PwC Ukraine logoPU

Data Analyst Intern

Oct 2025 - Dec 2025 (2 months)

Cleaned, preprocessed, and validated large datasets, building automated data-quality checks. Implemented LLM-based automation for data transformation, reducing verification time by ~81%.

Education

Degrees, certifications, and relevant coursework

Ivan Franko National University of Lviv logoIL

Ivan Franko National University of Lviv

Bachelor of Statistics, Statistics and Data Science

2022 -

Activities and societies: Course papers on reinforcement learning for trading and game/robotics applications.

Pursuing a Bachelor of Statistics in Statistics and Data Science, with coursework in mathematical statistics, probability theory, Bayesian analysis, machine learning, and deep learning.

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