Aside

Contact and Links

Language Skills

R
Python
Bash
Docker
Singularity
AWS/Cloud
LaTeX

Selected Projects

I have worked on several side-projects for fun. I have listed some below:

Disclaimer

Made w/ pagedown.

Source code: github.com/vivekkatial/vk-cv.

Last updated on 2020-09-17.

Main

Vivek Katial

Currently a PhD candidate at the University of Melbourne School of Mathematics and Statistics. I am someone who loves math, coding and travel. I pride myself on making my work reproducible and thrive for best practice.

I enjoy getting my hands dirty in data and am always looking for opportunities where technology can be used for social good.

Industry Experience

Data Scientist

Multitudes

Melbourne, AU

N/A

  • Multitudes is a Y Combinator backed tech company. We provide software that integrates with online collaboration tools to provide insight into team dynamics and behaviour. Our aim is to eliminate bias by showing actual behaviour, which in turn empowers teams to improve their performance, inclusivity, trust, and growth.
  • I’m currently a member of the founding team and I design and build data solutions for the Multitudes platform.
  • Architected and implemented the YC backed startup’s core product as an advanced R Shiny application

Executive Director

Good Data Institute

Melbourne, AU

N/A

  • The GDI is a non-profit organisation that unites data and analytics professionals with non-profits. As a Executive Director I am responsible for growth, governance and the strategic direction of GDI and serve as the head of the organisation. In our first 18 months we have delivered projects with over 21 NFPs and Social Enterprises across 5 countries.
  • I am also leading projects with four NFPs: Inclusive America, HBCU.vc, Sacred Generations and Rape Prevention Education NZ.

Post-graduate Research Supervisor

University of Melbourne & Melbourne Business School

Melbourne, AU

N/A

  • Superivising 9 Industry research projects for students enrolled in the Masters of Science - Data Science program at the University of Melbourne
  • Clients range from tech startups to ASX 50 organisations
  • Teaching Assistant for postgraduate level courses in Decision Science and Optimisation aswell as Supply Chain Analytics

Senior Data Scientist

Quantiful

Auckland, NZ

N/A

  • Architected and implemented Quantifuls forecasting engine used to forecast sales for all three major Telco’s within New Zealand.
  • Directly managed a team of seven (5 interns and 2 graduates).
  • Developed Quantifuls R&D Stream of work, enabling them to obtain over $1.2 million dollars in grants from the New Zealand Government.
  • Created and managed one of the most competitve internship programs for Data Science in New Zealand (400+ applicants)

Education

PhD. Candidate, Mathematics and Statistics

University of Melbourne

Melbourne, AU

2022 - 2019

  • Working on Optimisation via Quantum Computing.
  • Fully-funded PhD Scholarship.

BSc & BE(Hons) Conjoint Engineering Science, Statistics

University of Auckland

Auckland, NZ

2017 - 2013

  • Thesis: Optimising Complex Inter-Connected Pumping Systems.
  • Graduated with First Class Honours.
  • University of Auckland Deans Leadership Award for Outstanding Commitment to the Faculty of Engineering.
  • 12 First in Course Awards across Mathematics and Statistics