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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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bolat-t/README.md

Bolat Tulekov — Data Analyst, BI Engineer, ML Engineer

Introducing Myself

Hello, I'm Bolat. Data and analytics engineer working end-to-end across the stack — ingesting messy data, modelling it into something trustworthy, and shipping the result as a dashboard, a model, or an API that runs on its own schedule.

  • Building and orchestrating data pipelines in Python and SQL.
  • Dimensional modelling and dashboarding with Power BI and Tableau.
  • Lakehouse engineering on Databricks, Snowflake, and Fabric.
  • Retrieval-augmented search and ML models tracked with MLflow.
  • Fine-tuning, evaluating, and deploying ML models to various endpoints.

Projects

Three projects, one per lane, each deployed and live rather than left in a notebook.

  • Energy Grid Dashboard — analytics engineering on Australia's National Electricity Market. AEMO data to a dbt dimensional model to a forecast and a published dashboard, showing how renewables are reshaping price, demand, and carbon intensity. Live dashboard
  • NSW Transport Tracker — data engineering on Sydney's rail network. TfNSW GTFS-Realtime feeds into a Databricks medallion architecture, with an MLflow delay-prediction model and an AI/BI dashboard measuring how on-time the network really is.
  • Morning Coffee — an AI news assistant that reads GDELT's global news index every fifteen minutes and returns only what is worth waking up to, with citations. Live app

More at bolattulekov.com.

Tools

  • Languages: Python, SQL, TypeScript
  • Warehouses and lakehouse: Databricks, Snowflake, BigQuery, DuckDB, Delta Lake
  • Transformation: dbt, PySpark
  • Machine learning: MLflow, scikit-learn, Hugging Face
  • Platform: GitHub Actions, Docker
  • Visualization: Evidence.dev, Power BI, Databricks AI/BI

Connect with Me

Pinned Loading

  1. gridlens gridlens Public

    Analytics-engineering pipeline over Australia's National Electricity Market: AEMO → DuckDB/Snowflake → dbt → forecast → Evidence.dev dashboard, refreshed daily by GitHub Actions.

    Python 1

  2. Morning-Coffee Morning-Coffee Public

    AI news assistant over GDELT — reads the world's news every 15 minutes and returns only the stories worth waking up to, with citations.

    Python 1

  3. github.io github.io Public

    Personal portfolio website — bolattulekov.com

    JavaScript

  4. trackrecord trackrecord Public

    Sydney public-transport reliability lakehouse — TfNSW GTFS-RT to a Databricks medallion (Delta + Unity Catalog), MLflow delay model, and AI/BI dashboard.

    Python