Володимир

VOLODYMYR SHAKHOVTSOV
Python / AI Automation Software Engineer | Python, APIs, Bots, Data Workflows, QA Mindset, System
Troubleshooting
Kropyvnytskyi, Ukraine | [відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація») | LinkedIn | Telegram | GitHub | English B1

SUMMARY

Software engineer with a broad hands-on background across Python automation, API integrations, bot development, data/reporting
workflows, QA-style validation, Java/OOP fundamentals, and hardware/OS troubleshooting. Strong fit for startup and remote roles
where one person needs to understand business processes, build practical automation, debug across layers, and quickly grow into
new tools such as AI/LLM workflows, backend services, and data systems.

CORE SKILLS

Python REST APIs Telegram Bot API AI-assisted development

LLM workflow concepts SQL SQLite PostgreSQL basics

Pandas NumPy Flask Django-ready

Power BI DAX API testing Postman

curl Git Docker basics Java/OOP

Hardware troubleshooting Windows/Linux setup System diagnostics

PROFESSIONAL EXPERIENCE
Team Lead & Python Instructor
Logika Programming School | Nov 2024 - Feb 2026
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Taught Python, OOP, data structures, algorithms, and practical project development to students with different technical backgrounds.
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Reviewed student projects, identified logic defects and edge cases, and guided improvements in code quality and maintainability.
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Developed curriculum materials and learning strategies to reduce recurring mistakes and improve student engagement.
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Supported teacher KPI monitoring, educational analytics, and financial performance evaluation for operational decision-making.
BI / Data / Automation Project Work
Independent and educational projects | 2024 - 2026
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Built Python workflows for data cleaning, aggregation, feature engineering, API ingestion, and analytics-ready dataset preparation.
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Developed Power BI reports and DAX measures for business metrics, product portfolio analysis, KPI tracking, and time-based
reporting.
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Created REST API and automation services using Flask, bearer token authentication, third-party APIs, JSON, SQLite, and Google
Sheets integration.
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Worked on ML-style analysis using Logistic Regression, Random Forest, statistical testing, and SHAP-based interpretability.

SELECTED PROJECTS
Live Telegram Audio Utility Bot (@UrlToMp3FinderBot)
Python, Telegram Bot API, async bot logic, audio/link workflows, file handling, API integrations, deployment configuration
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Built and launched a live Python-based Telegram bot for audio utility workflows, including command handling, message processing,
and file/link interactions.
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Designed bot logic around real user actions, state handling, audio conversion/search-style scenarios, error cases, and reliable
responses in a chat interface.
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Worked with runtime configuration, secrets/environment variables, API calls, debugging, and deployment-oriented project structure.
Currency Data Automation Service
Python, Flask, REST API, Google Sheets API, PrivatBank API, SQLite, Power BI
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Built an API-driven workflow for collecting, transforming, validating, and updating exchange-rate data.
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Implemented REST endpoints, bearer token authentication, JSON parsing, environment variables, and deployment configuration.
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Prepared clean data outputs for Google Sheets and Power BI reporting workflows.
Customer Churn Analysis & Retention Strategy
Python, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, SHAP
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Prepared raw customer data, engineered features, tested hypotheses, and trained churn prediction models.
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Compared Logistic Regression and Random Forest outputs and translated model signals into retention recommendations.
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Used statistical testing and explainability techniques to connect analytical findings with potential financial impact.
Hardware & Operating Systems Troubleshooting
PC hardware, Windows/Linux installation, diagnostics, upgrades, drivers, system assembly, practical troubleshooting
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Built, disassembled, upgraded, and diagnosed desktop PCs and laptops, including component-level reasoning around storage, RAM,
CPU/GPU, cooling, drivers, and peripherals.
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Installed and configured operating systems, drivers, development tools, and runtime environments with a practical understanding of
how software behavior connects to hardware constraints.
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Applied hands-on troubleshooting across computers, laptops, and mobile devices, strengthening system-level debugging, attention to
detail, and ability to isolate root causes.

EDUCATION
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Master's Degree in Computer Science, Volodymyr Vynnychenko Central Ukrainian State University, 2018-2024
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Stanford CS106A / CS106B fundamentals
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EPAM Java Academy / Java & QA training programs
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SH++ / Sha++ Java software development training