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aahadi/README.md

Welcome to my personal homepage

Me and Data Science 🌱

I started playing around with data in a methodological manner for the first time in 2011 and as a casual academic (and a student of Master of Information Technology) in Sydney. As a lab assistant, my job was to read student answers from A4 papers and type them in a Microsof Excel sheet and save it as csv format. My employer Raymond Lister, which later became one of the most influential figures of my life, wanted these files in csv format. Later on I learnt how to upload the files into a postgres database, and run SQL statements to access the data. I could see all the data in one place which stroke me as both fascinating and concerning at the same time. It was fascinating because now I could see how quick and easy one can get their hands on subsets of data using a simple SQL select statement. It was concerning because we were no longer looking at students on an individual basis. We had started looking at students as members of different groups. I knew that better than anyone because I was the person who manually examined the students responses one by one into csv files that loaded the database later, and now I could see that we are no longer interested in analysis of the data on lower levels but like to analyse them in groups. This was also amplified due to my circumstances: I was a student and a tutor in the same university, so I could understand the negative impacts of this sort of analysis on the education research. Later I learnt that it is not the insight that you get from the data, but it is all about how well you use the data to support your argues and decisions.

Me in brief 🌱

Education:

Phd in Data Analytics - Masters in IT - Bachelor degree in IT

Recent Work Experience:

4 years work experience of applying Data Science to different discipliens
2019 - 2020 : #Text mining #Rapid Miner #NLP #Eye movement data analytics #Text similarity #Advanced statistics #Gene regulation analysis #Python #Deep Learning #TensorFlow #Data mining #Machine Learning
2021 - 2022 : #Information Retreivla #Ranking #RecSys #Labour Insight data #Lightcast (Burning Glass) #AWS #SQL #DynamoDB #API programming #R #Shiny #Document analysis #Skillification #PowerBI

⚡ My most recent work activity contributed to development of the skills analytics engine of TRACK:
https://www.youtube.com/watch?v=2jrEiqaWJUU&ab_channel=UniversityofTechnologySydney

Currently ... 🌱

On the look out to find a job as a data scientist. I’m also trying to extend my knowledge scope to catch up with state of the art tools and recent techniques used in different contexts where data science can be used. Here is where I stand at the moment:

Test Image 1

Interests and activities 🌱


⚡ New publications:
"Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets" available at https://educationaldatamining.org/edm2022/proceedings/2022.EDM-posters.56/index.html

⚡ My fav links:
My recent presentation: https://www.youtube.com/watch?v=HS66Fmw-uvc

Discover trends in the Australian Jobs Market https://labourmarketinsights.gov.au/

Australian Skills Classification 2.0 https://www.nationalskillscommission.gov.au/reports/australian-skills-classification-20

⚡ Selected publications:

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  1. R-Projects R-Projects Public

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  2. aahadi aahadi Public

    The homepage of my GitHub profile

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