Abid Ali Awan

Verified
  • @kingabzpro
  • Certified Data Scientist
  • he / him / his
  • Islamabad
I am a certified data scientist professional, who loves building machine learning models and research...  
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Positions

Writer

  • Towards Data Science
  • Jun 2021 - Present

Data Scientist

  • Pakistan Innovation and Testing Center
  • Apr 2021 - Present

Technical Writer

  • Towards AI
  • Jul 2021 - Present

Technical Writer

  • Deepnote
  • Mar 2021 - Present

Expert Advisor

  • Guidepoint
  • Sep 2021 - Present

Technical Writer

  • KDnuggets
  • Sep 2021 - Present

Writer Creators Club

  • Analytics Vidhya
  • Aug 2021 - Present

SOTA

  • DAGsHub
  • Oct 2021 - Present

Contributor

  • Omdena
  • Sep 2021 - Present

Researcher

  • Fiverr
  • Feb 2019 - Jul 2020

Freelancer

  • Upwork
  • Feb 2019 - Jul 2020

Researcher / Event Organizer

  • CREDIT IoT Research Center
  • Feb 2017 - Jul 2017

Designer and Editor

  • Beyond Media
  • Jan 2016 - Jan 2017

Media Partner

  • Heal Pakistan
  • Apr 2014 - Jul 2015

Engineer Intern

  • PTCL
  • Jun 2013 - Sep 2014

Trainee Network Engineer

  • Ciscom
  • Jun 2013 - Jun 2014
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Abid's Collections

Achivements

24 Highlights

Articles

42 Highlights

Projects

38 Highlights

Experiments

11 Highlights

What Abid Ali's working on

What Abid Ali's working on

2021

Nov 26, 2021
Nov 26, 2021
Used NLP
Used Machine Learning
Wrote a technical article
Machine translation
Repost Blog
+ 3
Abid Ali Awan is back with a great tutorial on a simple machine translation of YorΓΉbΓ‘ to English! πŸ€©πŸš€ Check out how he got his top 20 ranking on the leaderboard, and try it out yourself!
#KeepLearningπŸ‘‰https://bit.ly/310Ah3O
Nov 25, 2021
Nov 25, 2021
Wrote a technical article
Used Machine Learning
Building MLOps pipelines
+ 1
My guide about Orchest got Analytics Vidhya's award in #blogathon13 πŸ₯³πŸŽŠπŸŽ‰
Link to my guide: https://www.analyticsvidhya.com/blog/2021/10/a-guide-to-machine-learning-pipelines-and-orchest/


Writer Creators Club, Analytics Vidhya
Nov 16, 2021
Nov 16, 2021
Used Machine Learning
Building MLOps pipelines
Wrote a Blog Post
+ 1

A Guide to Machine Learning Pipelines and Orchest


Learn how machine learning pipelines are used in productions and design your first pipeline using simple steps on disaster tweets classification datasets. You will also learn how to ingest the data, preprocess, train, and eventually evaluate the results.

In this guide, we will learn the importance of Machine Learning (ML) pipelines and how to install and use the Orchest platform. We will be also using Natural Language Processing beginner problem from Kaggle by classifying tweets into disaster and non-disaster tweets. The ML pipelines are independently executable code to run multiple tasks which include data preparation and training machine learning models. The figure below shows how each step has a specific role and how tracking those steps are easy. Azure Machine Learning



A Guide to Machine Learning Pipelines and Orchest | by Abid Ali Awan | Oct, 2021 | Towards AI
Technical Writer , Towards AI
Nov 16, 2021
Nov 16, 2021
Data Analysis
Used Machine Learning
Wrote a Blog Post
DataCamp Assesment
Deepnote Notebook
+ 3
The main goal is to find the next ten locations similar to Saint Petersburg using unsupervised learning.

Designing a Promotional Strategy for Alcoholic Drinks in Russia | by Abid Ali Awan | Nov, 2021 | Towards AI
Technical Writer , Towards AI
Nov 12, 2021
Nov 12, 2021
Reposted by Abid Ali Awan
Conducted a beta test
Made new friends
Have been running beta tests for some exciting new Polywork features πŸ‘€ over the last couple of weeks. Favorite part has been meeting and working with so many amazing Polyworkers (you all really do embody the term). Cheers to building this platform together!
Nov 12, 2021
Nov 12, 2021
Data Analysis
Kaggle Competition
Data Visualization
+ 1

Digital-Learning-During-COVID19-EDA


In this project, we will be using data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities. We will be comparing districts and states on factors like demography, internet access, learning product access, and finance.Β 
https://github.com/kingabzpro/Digital-Learning-During-COVID19-EDA

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