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Hey šŸ‘‹, I'm Mk Hasan

I'm currently a Data engineer at Oetker Digital GmbH and based in šŸŒ Berlin. I am mostly working with various data related project inclduing building data platform to data warehouse.

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šŸŒ Don't forget to get some Potassium šŸŒ

āš”ļø A Few Quick Facts

  • šŸ”­ Iā€™m currently working on YouGov API Client.
  • šŸ§ Learning about serverless architectures, distributed systems, and a bit of ML.
  • šŸ‘Øā€šŸ’» Most of my projects are available on Github.
  • šŸ“ I regulary write articles on my blog.
  • šŸ’¬ Ping me about Data Platform Architecture, Data Warehouse, Data Modeling, ETL, Data Mesh or Data Fabric architecture.
  • šŸ“™ Check out my resume.
  • šŸŽ‰ Fun Fact: ęˆ‘ä¹Ÿä¼šč®²äø­ę–‡ć€‚

āœ’ļø Recent Posts

Explore
  • Anatomy of Semi-Structured(JSON) data with PYSPARK
  • Anomaly Detection with Docker, Filebeat, Kafka, ELK Stack and Machine Learning (Part -1)
  • https://mk-hasan.github.io/posts/2020/07/blog-post-5/
  • What is Adjusted Rand Index and How it works!
  • Deploying YOLO Object Detection Model With DeepLearning 4 Java & Apache Flink in Kubernets Cluster Using Raspberry PI!
  • What is Adjusted Rand Index and How it works!
  • Training and Vizualizing Self Organizing Map(SOM) with Numerical Data
  • Read More

    šŸš€ Some Tools I Use

    python Go java django airflow kafka Docker Kubernetes terraform mongodb mysql redis aws gcp jenkins

    spiderpig86

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    M.k Hasan's Projects

    airflint icon airflint

    Enforce Best Practices for all your Airflow DAGs. ā­

    aws-mwaa-local-runner icon aws-mwaa-local-runner

    This repository provides a command line interface (CLI) utility that replicates an Amazon Managed Workflows for Apache Airflow (MWAA) environment locally.

    checkmate icon checkmate

    A lightweight class for saving the best Tensorflow checkpoints.

    ckad-exercises icon ckad-exercises

    A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

    continual-learning icon continual-learning

    PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

    data icon data

    Data and code behind the articles and graphics at FiveThirtyEight

    data-science-portfolio icon data-science-portfolio

    Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

    datasciencecoursera icon datasciencecoursera

    Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

    demos icon demos

    Repository with DC/OS demos to show specific use cases, usually industry specific.

    ds-take-home icon ds-take-home

    My solution to the book A Collection of Data Science Take-Home Challenges

    elastic-weight-consolidation icon elastic-weight-consolidation

    This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.

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