Introduction

The dynamic nature of the IT industry requires a commitment to continuous learning and adaptation.

I made the decision to get back into the IT game late 2023. As I am returning to the IT industry after a lengthy hiatus, my priority has been to bridge the gap between my foundational knowledge and the latest technical services and offerings. I therefore embarked on a self-directed journey to explore the latest in Cloud computing and Artificial Intelligence services.

My first activity was to complete the ISC2 CC certification and complete the ISC2 CCSP exam. Both provided a good overview of the state of play, at least from a risk, regulatory and governance perspective. I then attained the AWS Practitioner certification, and recently completed the Finops Practitioner certification from the FinOPs Foundation.

To complement the certifications I've gone for a more hands-on approach to upskilling, completing a series of projects involving as many Cloud, AI and data analysis tools as I can lay my hands on for free. The projects listed below illustrate this journey, showcasing my hands-on approach to acquiring new skills, and applying them in practical scenarios to solve realistic problems.

Cloud Resume Challenge


Project Summary


This project represents the beginning of my re-education and re-aquaintance with Cloud services after a pretty long absence. The project brief is defined in Forrest Brazeal's Cloud Resume Challenge. In essence the challenge requires us to build a simple website using as many cloud-related services as possible. I do believe that getting hands-on with tech is the best way to learn and come up to speed with what’s possible.



The deployment model for this solution looks something like this: Cloud Resume Challenge Solution Components
The Visitor Counter process flow looks roughly like this: visitorCounter process



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Weather Forecast Project


Project Summary


To get a 5 day weather forecast these days one can simply enter a prompt in ChatGPT or Copilot....... but where's the fun in that??


The deployment model for this app looks something like this: weatherForecast_components

The end to end process flow looks roughly like this: weatherForecast process

So.... pick a city, pick a voice, be patient and see what comes back!

5 day forecast for in the style of :





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Data Anaysis Project - Reddit, COVID and Gamestop


Project Summary


My initial goal for this project was to determine whether there was any value in trawling through stock-related social media posts, in order to identify or even predict large moves up or down of the mentioned stocks. While this is still the end goal, another story emerged as I started to look at the high-level data, that I thought was worth documenting.

The approach was to plot the number of comments or posts on a social media platform against actual market prices, to see whether there was any correlation between retail investor sentiment expressed through social media, and actual stock or market prices. I would start at the highest level (total posts from a popular social media platform plotted against the S&P500), and then drill down into specific stocks. To continue the theme of exposing myself to the latest Cloud services, I would present this data through Tableau Public.This project is my first move away from infrastructure and towards data.



The final Tableau Viz (also available online at Tableau Public): Reddit Viz


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Data Anaysis Project - ABS National Study of Mental Health and Wellbeing 2020-2022


Project Summary


Following on from the Gamestop exercise, this project focused on exploring the presentation capabilities of Tableau.

The data set provided by ABS contains a large array of data sliced and diced several ways. However, it is also delivered in what you might call a final state - tables that are designed to be cut and pasted into a presentation, rather than raw data with well defined fields that can be uploaded and manipulated in a platform like Tableau.

So, with much wailing and gnashing of teeth I reverse engineered a more appropriately formatted data file with properly defined fields that could then be translated by Tableau into the graphs you see here.

The Tableau Viz is too large to show here, but can be viewed online at Tableau Public



The data was sourced from the ABS National Study of Mental Health and Wellbeing 2020-2022.



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