Available to hire
I’m a data analyst/scientist with 8 years of experience across data wrangling, predictive analytics, and machine learning. I specialize in R with strong Python and SQL skills, building scalable ETL pipelines, automating reporting, and designing predictive pricing models that improve ROI and efficiency.\n\nI have hands-on experience with A/B testing, statistical analysis, and data visualization to support data-driven decisions. I thrive on turning complex data into actionable insights and scalable data engineering solutions.
Skills
Experience Level
Language
English
Fluent
Romanian, Moldavian, Moldovan
Fluent
Spanish; Castilian
Intermediate
Italian
Intermediate
German
Intermediate
French
Intermediate
Japanese
Beginner
Work Experience
Data Automation Lead at FORMIN SA
October 1, 2023 - September 30, 2025Built a Python-based OCR invoice pipeline automating data extraction and validation, reducing monthly reporting time by 95%+ (from ~40 h to ~2–3 h). Developed automated financial and management reporting workflows that eliminated manual consolidation across entities. Led the Microsoft Business Central ERP integration, improving accounting transparency and aligning budgeting with realised performance.
Product & Trading Strategy Analyst at METRIC GAMING
October 1, 2021 - September 30, 2023Refined margin-curve transparency and pricing in R and Excel and tested provider-specific pricing strategies to optimise portfolio profitability, whilst properly documenting in Jira/Confluence. Devised a partial cashout algorithm for the book, as well as integrating the whole pricing model into the new Back Office and in Tableau. Designed and optimised multi-source ETL pipelines for odds validation and trader operations, reducing latency and manual reconciliation by > 70%.
Data ETL Consultant at BETKING / KINGMAKERS
January 1, 2021 - September 30, 2021Developed a fully automated competitor-price ETL pipeline in R (AP + scraping) running every 10 min; scaled runtime from >30 min to <3 min with <1% error. Built match-fixing detection models (“guilty-by-association”) to flag suspicious betting accounts, replacing manual reviews and improving risk management.
Quantitative Analyst at WHITE SWAN DATA
September 1, 2017 - July 31, 2020Built and optimised multi-sport trading models (NFL, NBA) managing > $150k weekly exposure. Achieved 5–10% ROI through predictive analytics and live strategy adjustments. Conducted correlation and efficiency analyses to identify market inefficiencies.
Education
MSc in Applicable Mathematics at London School of Economics and Political Science (LSE)
January 1, 2016 - January 1, 2018BSc in Mathematics with Management & Finance at King’s College London
January 1, 2013 - January 1, 2016Qualifications
Industry Experience
Software & Internet, Financial Services, Gaming, Professional Services, Media & Entertainment
Skills
Experience Level
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