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mihailsch/README.md

Hi there, i'm Mihail Scherbakov, Product / Data Analyst 📊

Tech Stack & Skills 🛠️

  • Core: Python (pandas, matplotlib, statsmodels), SQL (window functions), Jupyter Notebook.
  • Also have experience with: ClickHouse, PySpark, Airflow, Git, Yandex DataLens.

Product & Business Analytics 📈

  • Key Concepts: Product metrics (LTV, Retention, CR), unit-economics, cohort & RFM analysis.
  • Experiment Analysis: A/B test design, statistical hypothesis testing, result evaluation.
  • Product Thinking: Identifying growth points, funnel optimization, user behavior analysis.

Core Competencies 💼

  • Full-cycle analytics: from data extraction to insight presentation.
  • Problem decomposition and data-driven development.

Popular repositories Loading

  1. HalltapeSparkCluster HalltapeSparkCluster Public

    Forked from halltape/HalltapeSparkCluster

    Spark Cluster with 4 executors

    Jupyter Notebook

  2. report_automation report_automation Public

    Automation of monthly warehouse reporting: comparison of accounting balances with actual warehouse balances to identify discrepancies in product items.

    Jupyter Notebook

  3. mihailsch mihailsch Public