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Data Engineer / Data Scientist

Nikolay Kuznetsov

I build DWH and API pipelines, automate reporting, ship forecasting models, and deliver internal tools from backend infrastructure to team-facing interfaces.

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Profile

5 years in data, automation, and product engineering

3 years of commercial development and 2 years of freelance work. I currently lead an analytics direction in a digital agency: back-office automation, reporting design, and internal product delivery.

Experience

Freelance and Make Digital

  • 2019-2022: freelance development of analytics and automation solutions.
  • 2022-present: Make Digital, analytics team lead.
  • Education: Kemerovo State University; Yandex Practicum professional retraining, data analyst.

Directions

Data pipelines, BI, ML, and practical automation

  • Data Engineering: Postgres, API integrations, DWH, MinIO, Superset, Docker, Kubernetes/minikube.
  • Analytics: Yandex Metrica, Direct, VK Ads, Calltouch, ROMI, end-to-end analytics, Matomo Tag Manager.
  • ML/Data Science: Dask, scikit-learn, AutoTS, AutoGluon, Optuna, bootstrap, t-test.
  • Product tools: Telegram bots, admin panels, monitoring, email alerts, Playwright.

Research

EDA, forecasting, and antifraud

Worked on EDA for Domodedovo airport, NDA analytics for a regional media portal, US gas storage forecasting, and algorithms for detecting bot and fraudulent ad traffic.

Selected work

Cases

No published cases yet.