andrekos data labs

I never lose. Either I win or I learn.

Skills

R ecosystem

Python ecosystem

Statistics

Machine Learning

AWS

Data Science

Time Series

Deep Learning

Kaggle

Employment

over the last 5 years

 
 
 
 
 
July 2018 – Present
Singapore

Senior Data Scientist

IAG

Applying modern deep learning techniques towards new products and services that redefine insurance, focusing on computer vision and natural language processing applications.
 
 
 
 
 
October 2016 – June 2018
Australia, Perth

Data Scientist

TrafficGuard

Applied advanced analytic and machine learning techniques to drive business value and optimise services provided by the data-driven company, focusing on detecting fraud and otherwise invalid traffic.
 
 
 
 
 
July 2013 – October 2016
Australia, Perth

Forecasting Analyst

Western Power

Applied statistical, machine learning and data mining techniques to improve forecasting and decision-making in relation to energy, customer numbers and peak demand. Provided technical leadership in developing new and implementing existing methods for data analysis, predictive modelling and time series forecasting.

Posts

Ex ante forecast is a forecast based solely on information available at the time of the forecast, whereas ex post forecast is a …

from Carl Gauss, Winston Churchill, Ralph Waldo Emerson and Paul Halmos

Recent Talks

RPA, AI and ML Summit

Lunch and Learn Session

2nd place solution to IAG Flexihose challenge

A Review of the current state

Doctoral

Monash University
graduated 2013

My PhD thesis, entitled Statistical issues in modelling and forecasting sequential count data, was examined by professors James Taylor of Oxford University (UK) and William Dunsmuir of UNSW (Australia).

Teaching

Monash University
Aug 2009 - Sep 2012

I’ve also learned a lot from my past teaching experience:

  • Contingencies in Insurance and Pensions (ETC3530)
  • Actuarial Statistics (ETC2430)
  • Probability and Statistical Inference (ETC2520)
  • Business Statistics (ETC1000)

Contact