career option — survey option

Career in IT industry — Don’t start learning machine learning and artificial intelligent?!

Novia Pratiwi - est.2021
5 min readJul 21, 2020

What excites you about technology and why you want to help other students explore and learn?

Technology introduces me to more responsive and interactive design of software development process and its different stages. I would like to aim to develop the understanding of systems development from specifications to code writing and testing. I hope to explore and develop the skills to understand first user specifications; the ability to model and design our own experience and then play to software systems according to industry standards; and the ability to code and build software applications. With other students or team members also aims to develop our teamwork skills by allowing us to work in project teams and use a real-life case study to Microsoft.

Every industry — whether it’s oil and gas, retail, financial services, agri-tech — all are being transformed by digital technology.

Satya Nadella, Microsoft CEO.

How would you take a technical concept and teach it to a friend or peer that has never heard of it?

In a world where organisations are constantly trying to grow and gain a competitive advantage, teaching and learning strategies play a vital role in helping someone to achieve our objectives. I would like to cover information strategies, models, frameworks, and technologies that students will learn through a combination of topic presentation, design activities, and group discussions. There might be approximately 1.5 hour topic presentation and 1.5 hour practical work per week, this is proven by productivity researches.

What would be your next career aspiration?

Aside from technical and learning enthusiasm, I would like to thank you to Microsoft student team for organising previous Azure workshop. I am able to be courageous and not too imposter about my skills, instead, now my key insights into the market, I understand candidates’ niche skills and experience and work in partnership with our clients to build innovative, creative recruitment solutions that reflect my bring both skills leverage tools, such as Apache Jupyter Notebooks. Questions that would be in portfolio and analysis?

  • What is cloud computing; typical cloud services benefits of cloud & types of cloud services (infrastructure, platform, software); cloud development models (public, private, hybrid)
  • What is Azure; different types of Azure services; demystifying technical jargons (compute power, VM, containers, microservices)?
  • SaaS platforms and its feasible usage? Here’s my summary:
    AWS (Amazon web services): Market leader, offers many products, good for all-in on one provider Azure: good if you’re already running on-premise servers, use windows and office, good tools as well
    GCP (Google Cloud Platform) : fantastic machine learning and data capabilities, multi-cloud strategies and rarer to find skilled people than the first two All the rest are just kinda meh, unless you have a specific need for them (e.g. oracle databases)

The non-technical and technical stream explored the same field with different focuses:

  1. CRM (Customer relationship management)
  2. Technical Consultant — it would be benefits and develop from existing role knowing the products and services offered
  3. Change Management
  4. Project Management
  5. Business Analyst -> Data Analyst
Skills Dataset — Checklist

Explore — Attend recommended career development seminars:

  • Creating your career for first-years
  • Get that part-time job
  • Writing a successful resume and cover letter

Build — Attend recommended career development seminars:

  • Navigating LinkedIn for career success
  • Ace the interview
  • Networking

Final Combo — Attend recommended career development seminars:

  • Strategies for successful job seeking
  • Applying for graduate and internship programs online
  • Assessment centres: Advice and practice

Useful Resources (Reading lists)

Career Planning — Look upon YouTube, Career Hub from your university, and Career Mentor

  • LinkedIn Learning — Career Planning by Careercake
  • Career HQ
    Search Career HQ’s occupation database to explore job activities, education requirements and future prospects for hundreds of career options.
  • Graduate Careers (Statistics)
    The annual Australian Graduate Survey (AGS) is a study of the activities of new higher education graduates around four months after the completion of their qualifications.

Australian Work Rights

  • Fair Work Ombudsman
    Fair Work gives advice and helps you understand your workplace rights and responsibilities.
  • Scam Advertising
    Government information site detailing potential job advertising scams.

Entrepreneurship

Government Department Listing

International

  • Working in Australia
    General information on moving to and working in Australia as well as an online job board.

Careers Styling — Creative to be look professional

  • Dress for Success
    Dress for Success is a registered charity that outfits women in need free of charge, in high quality professional attire and provides practical advice in preparation for job interviews.
  • Self Employment
    Small Biz Connect is a personalised and highly subsidised business advisory program for small businesses in NSW.

Psychometric Testing

I am currently seeking opportunities, willing and able to work. Full-time: availabilities and resistance in particular organisation. And provides interpersonal skills and technical skills. Or connect with me via LinkedIn.

Many students may have a strong foundation on statistical and analytical concepts, but they don’t have a clear idea of how and where to apply them as per business requirements. Similarly, many managers crave for end results and business implications without having the faintest idea about its execution. Hence, to bridge this gap I have developed this interesting course on Business Analytics which will give us a clear idea on how Data Analytics is actually implied in real-world industries while we gradually deep dive into various statistical concepts, Machine Learning algorithms and Advanced Analytics comprising neural networks.

Hope you find this course interesting and of enough value addition!

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Novia Pratiwi - est.2021
Novia Pratiwi - est.2021

Written by Novia Pratiwi - est.2021

Curiosity to Data Analytics & Career Journey | Educate and inform myself and others about #LEARNINGTOLEARN and technology automation

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