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Ashraf Miah

The Lessons Learnt from Reviewing over a Hundred Intern Applications

Photo by Annie Spratt on Unsplash


Distilling the lessons learnt from over a hundred Data Science intern applications where the majority of the candidates were not selected for interview. The focus of this article is on what and how to communicate rather than what technical skills to acquire.


  • Introduction
  • Importance of Reading the Intern Advert
  • Cover Letter
  • Curriculum Vitae / Resume
  • Personal Development
  • Summary

Improve your workflow with Jupyter Hub, ipykernel and systemd

Photo by Estée Janssens on Unsplash


As an avid user of Jupyter Notebooks and/or Lab, this guide shows how to automatically start-up Jupyter server allowing you to select your desired Python environment using the web interface and then start coding.

If like me, your typical workflow was to start a terminal, activate your desired Python virtual environment before running jupyter notebook or jupyterlab, then this guide should provide an easier and more integrated experience. …

Manipulate Time Zone Aware and Naive datetime objects

Photo by Ramon Kagie on Unsplash


Flight tickets state the departure and arrival date and time but with their respective local Time Zones, which can make working out how long the flight is a bit tricky. In this article, the Delorean library is introduced and along with pandas, datetime objects with Time Zone information are manipulated. As an example, the flight time between London Heathrow, UK and Kuala Lumpur, Malaysia are calculated.


Kaggle Grandmasters tackle character recognition for the fifth most popular native language, how to choose the right colour scheme for your plot and useful Python newsletters.


The Nvidia Machine Learning (ML) Grandmasters took part in the Kaggle competition for the character recognition of the World’s fifth most popular native language, Bengali. The team address some of the “unwritten” rules of the language in tuning there models. Rather than choose either the default colour scheme from your favourite plotting library or personal preference, a more scientific basis can be found in the Colorcet library. …

Useful python functions to prepare for “Big Data” processing, the advantages of Nomad over Kubernetes and Visual Studio Codes’s next-generation code completion for Python.


Links to three interesting and wide ranging topics on Data Science, from understanding key features of python as a means of preparing to process “Big Data” with libraries such as Dask and PySpark. Nomad as an alternative to Kubernetes as a container orchestrator, which covers the full range of Data Science activities from Data Ingestion to Model deployment to Data Visualisation. …

Selecting articles from a Pocket list curated over the last 5 years on Data Science.


Utilising a wide range of articles saved on Pocket and their application to Data Science.


The purpose of the Data Science Shorts series is to summarise articles from a vast library of articles I’ve stored and tracked using Pocket over the past 5 years — a service to curate and collect interesting reads on the internet. A similar capability is provided by InstaPaper; both services store links and copies of articles and can provide a unified interface to reading these again later.

Additional plugins for git to make using repositories more manageable for Data Science.


Introduction to the open source git-extras package, it’s installation on a Ubuntu (GNU/Linux) environment and it’s application in general and for Data Science.


It’s common practice for most Data Scientists to interact with Version Control Systems (VCS) like Git. Beyond the basic commands like init, add, commit, status, diff and log you might wander what else you need? …

Ashraf Miah

Data Scientist and Chartered Aeronautical Engineer (MEng CEng EUR ING MRAeS) with over 15 years experience in the Aerospace, Defence and Rail Industry.

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