Vivek Katial

PhD Candidate, University of Melbourne












Vivek Katial

Vivek Katial

Data Scientist and PhD Candidate

University of Melbourne

Good Data Institute

Multitudes

Biography

Currently the Executive Director at the Good Data Institute, Data Scientist at Multitudes and a PhD candidate at the University of Melbourne School of Mathematics and Statistics. My PhD research is conducting Instance Space analysis on Quantum optimisation algorithms, under the supervision of Prof. Kate Smith-Miles and Dr Charles Hill

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.

Interests

  • Quantum Computing
  • Machine Learning
  • Discrete Optimisation
  • Time Series Analysis
  • Data for Social Good
  • Mission Driven Start ups

Education

  • PhD in Mathematics and Statistics, 2019 - Present

    University of Melbourne

  • BE (Hons) in Engineering Science, 2017

    University of Auckland

  • BSc in Statistics, 2017

    University of Auckland

Skills

R

Python

Linux / Bash

Github/Git

Docker

AWS / Cloud

Projects

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All Shiny Apps Research

EZ-EXPERIMENTr

EZ-EXPERIMENTr is a toolkit designed to help researchers run automated experiments on a cluster.

ubeRideR

This is a shiny app I have developed which showcases how to make Shiny apps look nice using HTMLTemplates. The app itself explores my uber data.

Recent & Upcoming Talks

Instance Space Analysis on Quantum Algorithms

Confirmation Talk with my advisory committee. This talk provides a summary of my research topic and also some early results.
Jul 20, 2020 1:00 PM — 2:00 PM University of Melbourne
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Research Platforms Services - GitHub Workshop

Github is one of the power tools of programming. It allows you to keep track of what you did and when you did it, you can undo any changes you decide and it also collaborates at scale with other people. This tutorial will be a gentle introduction to Git and Github, a modern version control tool that is very popular with data scientists and software developers.
Nov 11, 2019 1:00 PM — 3:00 PM University of Melbourne
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Research Platforms Services - GitHub Workshop

Building an end-to-end machine learning workflow using mlflow

Talk on how to build an end-to-end machine learning workflow using mlflow ! I attempt to take everyone through from model inception to model deployment.
Sep 18, 2019 3:00 PM Stamford Plaza, Auckland
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Experience

 
 
 
 
 

Data Scientist

Multitudes

May 2019 – Present Auckland

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.

 
 
 
 
 

Executive Director

Good Data Institute

Mar 2019 – Present Melbourne
The GDI is a non-profit organisation that unites data and analytics professionals with non-profits. As the 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.
 
 
 
 
 

Data Scientist

Quantiful

Apr 2016 – Jun 2019 Auckland

Quantiful is a SaaS platform to help companies forecast time-series of SKU sales.

  • At Quantiful I architected and implemented Quantifuls forecasting engine used to forecast sales for all three major Telco’s within New Zealand.
  • Developed Quantifuls R&D Stream of work, enabling them to obtain over $1.2 million dollars in grants from the New Zealand Government.
  • Directly managed a team of seven (5 interns and 2 graduates).

Contact