Ріна

Rina Kompaniiets
Research & Analysis
Kharkiv, Ukraine
[відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)

Professional Profile
Quantitative researcher and analyst with a background in experimental physics, data analysis, and risk and fraud analytics, currently completing an MSc in Physics. Experienced throughout the research cycle, from literature review and data collection to data cleaning, statistical analysis, interpretation, and presentation of findings, with advanced working knowledge of Python, C++, and Excel. Professional experience includes analysing high-volume transactional data, assessing risk and anomalous activity, maintaining data quality, and developing Python-based solutions to improve analytical workflows. Strong communicator with experience presenting technical research, training colleagues, and working independently in complex, detail-sensitive environments. Native Ukrainian speaker with C2 English and fluent Russian, seeking to apply rigorous research and analytical skills to humanitarian and development research.

Core Competencies
Research & Analysis
Research Design · Literature & Secondary Data Review · Data Collection · Quantitative & Statistical Analysis · Data Cleaning & Quality Assurance · Risk Assessment · Analytical Reporting
Communication & Coordination
Analytical & Technical Writing · Research Presentations · Stakeholder Communication · Training & Facilitation · Independent Project Management · Cross-functional Collaboration
Data & Process
Data Analysis · Anomaly Detection · Data Visualisation · Process Optimisation · Workflow Automation · Evidence-based Decision Making · Complex Problem Solving
Technical Skills
Programming: Python · C++ · C · MATLAB/Octave
Data & Visualisation: Microsoft Excel · Tableau · Google Sheets · Google Forms
Productivity & Collaboration: Word · PowerPoint · Google Docs · Git · LaTeX · Jira · Dynamics CRM · FXCubix

Professional Experience
Independent Mathematics & Physics Tutor
Independent | February 2023 – May 2025
• Planned and delivered personalised mathematics and physics programmes for approximately 30 students over five semesters, adapting content and teaching methods to individual learning needs and levels of understanding.
• Assessed students' knowledge and learning gaps to develop structured study plans, select appropriate materials, and monitor progress throughout the tutoring period.
• Developed original teaching materials and visual explanations to communicate complex technical concepts clearly to students with diverse levels of prior knowledge.
• Managed all aspects of the tutoring process independently, including client communication, scheduling, lesson planning, progress tracking, and coordination with students and, where relevant, their parents.
Research Intern
CERN · Geneva, Switzerland | January – April 2025
• Developed a C++ algorithm using the CERN ROOT framework to analyse ALPIDE detector data and identify anomalous chip behaviour, including unusually low data output potentially indicating faulty chips and unusually high output potentially indicating excessive noise.
• Processed and analysed large volumes of detector data to establish data-quality indicators and distinguish expected detector behaviour from anomalous patterns.
• Designed, tested and refined an automated analytical approach to replace manual inspection, applying quantitative reasoning and programming to a complex data-quality problem.
• Conducted literature and technical research to understand detector performance, inform the analytical approach, and interpret results within the broader research context.
• Presented the research findings verbally at CERN to an international academic audience, communicating technical methodology and results clearly to researchers from different backgrounds.
• Collaborated within an international research team, communicating analytical approaches, results and technical issues with researchers from different backgrounds and contributing to a shared research workflow.
Risk & Dealing Operations Specialist / Fraud Analyst
JustMarkets | December 2025 – August 2026
• Analysed high-volume client trading activity and transaction histories to assess risk, identify anomalous patterns and investigate potential fraudulent or self-referral activity, with individual client histories sometimes exceeding 15,000 records.
• Conducted data-driven case assessments to determine appropriate trading conditions, evaluate compensation requests and review withdrawal requests in accordance with internal procedures and risk criteria.
• Monitored operational dashboards and real-time alerts, investigating irregularities and responding to emerging issues while escalating complex or high-risk cases to management for secondary review.
• Used Excel extensively to filter, reconcile and analyse large datasets, identify inconsistencies and extract relevant information to support operational and risk-related decisions.
• Identified a recurring data-quality problem across multiple FXCubix bridges and independently developed a Python solution to consolidate discrepancies into a single Excel report, replacing a time-intensive manual review process with an automated workflow.
• Communicated regularly with management and colleagues to discuss complex cases, resolve analytical or operational issues and support consistent decision-making across the team.
• Trained a new team member on operational procedures, analytical workflows and case-handling practices, supporting their transition into the role.
• Worked under strict confidentiality requirements when handling sensitive client information and internal fraud-detection and risk-analysis processes.
• Coordinated with colleagues and management across different departments and international teams to discuss complex cases, communicate analytical findings, resolve operational issues and support consistent decision-making.
Humanitarian Volunteer — ГО "ЛЮБИЙ ТИН УКРАЇНА"
Liubotyn, Ukraine | February – October 2022
• Supported local humanitarian response activities during the initial phase of Russia’s full-scale invasion of Ukraine, helping distribute humanitarian aid to people affected by the crisis.
• Assisted with the provision of temporary shelter for people in need and supported food preparation and distribution as part of the NGO’s community response activities.
• Worked directly with affected community members, responding to immediate needs and adapting responsibilities and priorities in a rapidly changing operational environment.
• Prepared photographic activity reports for sponsors, documenting humanitarian assistance and supporting transparent communication on the delivery of aid.
Education
BSc in Applied Physics and Nanomaterials — V. N. Karazin Kharkiv National University
Kharkiv, Ukraine | 2021–2025
• Bachelor’s thesis: development of a C++/CERN ROOT algorithm for identifying anomalous behaviour and potential data-quality issues in ALPIDE detector chips.
• Completed analytical and computational coursework, including C++ programming and quantitative data analysis.
• Bachelor’s research conducted during a research internship at CERN and subsequently presented verbally at CERN.
MSc in Applied Physics and Nanomaterials — V. N. Karazin Kharkiv National University
Kharkiv, Ukraine | 2025–Present
• Research focus: experimental plasma–surface interactions and high-speed imaging within QSPA experiments.
• Research involves experimental design, data collection and processing, statistical analysis, computational modelling, literature review and scientific interpretation.
• Presented ongoing research at an international fusion summer school.
Languages
Ukrainian – Native
English – C2
Russian – Fluent
German – B1
Italian – A2