product-metrics

My Solutions to 120 commonly asked data science interview questions.

Product development guides covering modern product management, UX design, and data-driven development methodologies

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

Here are my answers to 120 Data Science Interview Questions.

Dashboards in Redash

FinTech product case study and working MVP for a privacy-first personal finance decision-support product, covering discovery, PRD, RICE prioritization, UX, metrics, experimentation, GTM, and product strategy.

Product metrics (DAU/WAU/MAU, conversion, retention, churn, ARPU, AOV) modeled as a tested, layered dbt project — not a written playbook.

Zero-dependency Python CLI that turns a product-usage events CSV into a weekly health report: data-quality audit, session-weighted metrics, and change detection

Analysis and calculation of product metrics of users. Raw data taken from AppMetrica.

为 AI 产品设计事件模型、转化漏斗、质量成本指标与数据看板。

An end-to-end product analytics case study optimizing digital banking activation, transaction performance, and user retention.

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.

Портфолио с работами по аналитике данных, показывающие мои навыки, умения и опыт

Product Space PRD for Ola’s Community Impact Rides — a product concept enabling users to support local causes through ride-based micro-donations. ⭐ Recognized as one of the best submissions of the cohort.

Measure an MVP against the success criteria written before launch: sign-ups, activation, retention by week, paid share, by sign-up week. Says not enough data instead of guessing. No dependencies.