Тимур

TIMUR YAMCHUK
Barcelona, Spain | +3809932229 | [open contact info](look above in the "contact info" section)

SUMMARY
Data & Business Analyst with a strong technical background (Data Engineering, Python, SQL) and a solid foundation in finance and
quantitative markets. Proven ability to bridge the gap between technical data pipelines and business metrics (unit economics,
margins, ROI, and ad spend). Experienced in building automated data feeds, optimizing database schemas, and translating complex
datasets into actionable insights and executive reports for decision-making.

WORK EXPERIENCE
Data & Business Analytics / E-commerce Solutions 02/2022 – 03/2026
Freelance & Software Contracts
• Data & Unit Economics Analysis: Built automated data ingestion pipelines (Python, FastAPI, SQL) aggregating transaction
data, marketing sources, and operational logs to calculate channel profitability, margins, and customer acquisition metrics —
driving strategic decisions to reallocate ad budgets from underperforming channels to high-ROI campaigns.
• Database & Performance Optimization: Designed and optimized relational database schemas (PostgreSQL, SQLite),
restructuring indexes to improve complex query execution performance by 35% to speed up reporting.
• Discrepancy Reconciliation & Reporting: Performed cross-source data reconciliation, identified structural anomalies, and
transformed raw logs into clear, business-oriented analytical reports for stakeholders.
Professional Trader & Financial Instructor 02/2024 – 02/2026
Pelliron Group / Proprietary Trading, Odesa, Ukraine
• Conducted real-time quantitative and risk-managed analysis on high-frequency market datasets, assessing asset performance
and financial risk control.
• Structured and delivered analytical training frameworks, teaching junior analysts market mechanics, data-driven position sizing,
and quantitative risk metrics.
Cybercrime Data Analytics Intern 05/2026 – Present
State Authority / Cybercrime Investigation Unit, Odesa, Ukraine
• Processed and structured large-scale datasets, transaction records, and digital logs to support investigative operations and
identify operational anomalies.
• Transformed fragmented digital evidence into coherent, actionable insights while maintaining strict data integrity and information
security standards.

EDUCATION
Master's Degree in Finance & Financial Analytics
• Focus: Financial Markets, Quantitative Analysis, Risk Management, Unit Economics & Economic Modeling
IT Step University — Bachelor in Computer Science
• Specialization: Full-Stack Development, Data Architecture & IT Infrastructure

SKILLS
• Data Analysis & Business Metrics: Unit Economics, ROI, Margins, Quantitative Analysis, Data Reconciliation, Anomaly
Detection
• Data Tools & Programming: Python (Pandas, NumPy, FastAPI), SQL (PostgreSQL, SQLite), ETL/ELT Pipelines
• Architecture & Infrastructure: Database Design & Optimization, Schema Architecture, Docker, GitLab CI/CD, Linux, AWS
(EC2), K6 (Load Testing)
• Soft Skills: Stakeholder Communication, Requirements Elicitation, Translating Data into Business Insights

LANGUAGES
English: Upper-Intermediate / Professional | Ukrainian: Native | Russian: Native | Spanish: A1 - Elementary
CERTIFICATES
• Junior Cybersecurity Analyst Career Path — Cisco Networking Academy
• Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate — Coursera / Google Cloud
• Active Trading & Market Analysis Credentials — Pelliron Group