Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.

Financial modeling for AI products. Model LLM inference costs, test pricing scenarios, and see 3-year projections.

This repository is containing a portfolio of data analyst projects that I have completed and showcases my skills and experience

DA test task for Vizor

Works completed within the Product Analytics and the Product Development modules of the Data Analyst course on the Karpov Courses platform

unit economics & cohort analysis projects

Exploratory data analysis projects

Excel financial model analyzing SaaS unit economics, break-even dynamics and growth scalability

Fictional SaaS feature investment Go/No-Go case: decision memo + NPV/IRR model + sensitivity & KPI monitoring.

Prototype FinOps platform for cost-aware engineering, unit economics, and automated cloud cost accountability.

Enterprise-grade Power BI dashboard for tracking AI infrastructure unit economics. Features real-time GPU profitability ratios, idle waste detection (Zombie GPUs), and ESG carbon footprint reporting.

AI Economic Identity Envelope — A standard economic identity for every AI transaction

Анализ юнит-экономики и бизнес-моделей: CAC, LTV, когортный анализ и оценка прибыльности цифровых продуктов.

Startup metrics for Claude Code — PMF, unit economics, churn, runway, funnels, growth curves, moats, fundraise readiness

Business Studio project: Dodo Pizza market expansion strategy with unit economics, A/B testing, field research. ROI 48-57%, payback 2-3.5 years.

Strategic Decision Engineo optimize profitability for a regional airline facing a 25% fuel price shock. The engine stress tests three strategic horizons Dynamic Pricing, Government Subsidy (UDAN) Expansion, and Fleet Redesign against real-time market volatility to minimize the Risk of Ruin.

Задача для маркетингового аналитика развлекательного приложения Procrastinate Pro+. Несмотря на огромные вложения в рекламу, последние несколько месяцев компания терпит убытки. Задача — разобраться в причинах и помочь компании выйти в плюс.

Optimized Reddit-scale cloud spend by building a Unit Economics model. Managed a 48% spend increase while driving an 8.4% efficiency gain ($13.69 to $12.54 per 1k DAU). Developed a dual-axis dashboard and a Python automation script to monitor scaling margins and enforce budget guardrails.

Autonomous CFO Agent for E-commerce. Uses JavaScript & n8n to calculate real-time Unit Economics (Net Profit). Automatically detects loss-making products (Stop-Loss) and triggers GPT-4o to scale high-margin winners.

Store-level contribution analysis, risk prioritization, and margin recovery strategy for a delivery marketplace.