Артем Арзуманян

Worked in a team of product data analysts for beauty products with a subscription model, collaborating with a lead analyst for two product teams (CRO, Retention). Implemented A/B tests, researched retention strategies using Monte Carlo simulations, and developed Python and Streamlit tools for process optimization.

Senior consultant in international tax: cross-border structuring for startups, corporate groups and private clients across 10+ jurisdictions. Advised 15+ startups on jurisdiction and structure, and automated the practice's recurring work in Python — a parameterized effective-tax-burden model, a sourced rate matrix, day-count residency analysis in pandas, and pre-filing reconciliation checks.

Modeled 15+ operating structures for groups with $100M+ turnover: total tax cost across 10+ countries with sensitivity analysis. Built expected-value risk registers (amount × probability) across 10+ audits, templated in Excel with automated exposure calculations. Ran multi-country data collection with validation checks.

Role description: Entry-level role in the international tax practice of Deloitte's Moscow office; bilingual
advisory work.
Results:
– Conducted 10+ risk audits in the oil and gas sector, including identification and quantification of
exposures.
– Delivered advisory deliverables and translations in English and Russian across EU and Asian
jurisdictions

Grade: 3.88/4.0

Master's degree in International Financial Law from MGIMO University, with a GPA of 3.88/4.0.

Completed SQL for Data Analysis coursework.

Completed A/B Testing & Product Metrics coursework.

Completed a structured self-directed track in Statistics & Probability.

Completed A/B Testing & Product Metrics coursework.

Bachelor's degree in International Law from MGIMO University.