Ian Shane Wong, PhD
Product and AI at Transactional.ai- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Experience
-
Transactional.ai
-
New Zealand
-
Data Infrastructure and Analytics
-
1 - 100 Employee
-
Product and AI
-
Mar 2021 - Present
Auckland, New Zealand Aggregating the world's transaction data to help consumers save money and at the same time help businesses attract customers.
-
-
-
Fonterra
-
New Zealand
-
Food and Beverage Manufacturing
-
700 & Above Employee
-
Principal Data Scientist
-
Oct 2018 - Feb 2021
New Zealand
-
-
Data Scientist
-
Feb 2018 - Oct 2018
Auckland, New Zealand
-
-
-
Contractor
-
Sweden
-
Construction
-
1 - 100 Employee
-
Data Scientist
-
Jun 2016 - Mar 2018
I enjoy solving data science problems. Clients range from Major Banks to SMEs in varied industries (start-ups, finance, marketing, consultancies). Machine Learning API / App Development, Artificial Intelligence, Data Visualisation, Algorithm Development, Automated Insight Extraction, Dynamic Pricing, Demand Forecasting, Channel Attribution, 100x Speedup on Slow Algorithms, Time Series Modelling, Data Product Evaluation / Reverse Engineering and so on... Clients can expect: -… Show more I enjoy solving data science problems. Clients range from Major Banks to SMEs in varied industries (start-ups, finance, marketing, consultancies). Machine Learning API / App Development, Artificial Intelligence, Data Visualisation, Algorithm Development, Automated Insight Extraction, Dynamic Pricing, Demand Forecasting, Channel Attribution, 100x Speedup on Slow Algorithms, Time Series Modelling, Data Product Evaluation / Reverse Engineering and so on... Clients can expect: - Intense focus on achieving Team and Client goals - Development of new and often novel Intellectual Property. - Start-up paced prototyping and problem solving. - Quality work backed by solid theory in Statistics and Artificial Intelligence. Always happy to help solve data science problems, or provide a second opinion. Show less
-
-
-
Simqly.com
-
Denmark
-
Technology, Information and Internet
-
1 - 100 Employee
-
Co Founder
-
Nov 2014 - Dec 2016
An insight engine that helps anyone explore the correlations in their data in seconds. Our data mining algorithms show you whats interesting so you can focus on finding more insight faster. www.simqly.com 1 of 9 startups in Lightning Lab Auckland 2015. (digital accelerator) Awards: 2nd Place, $100k Spark Entrepreneurship Challenge, University of Auckland
-
-
-
Movio
-
New Zealand
-
Advertising Services
-
1 - 100 Employee
-
Data Scientist
-
Feb 2014 - Feb 2015
Created a customer segmentation algorithm that clusters members in seconds. - It is scalable without using complex hadoop clusters and more hardware. - Is targeted around important business metrics of your choice so clusters are more useful and less arbitrary. Derived methods to measure campaign performance accurately for each member even if a member can not be part of a target or control group at the same time. - This is important if you want to associate campaigns with member… Show more Created a customer segmentation algorithm that clusters members in seconds. - It is scalable without using complex hadoop clusters and more hardware. - Is targeted around important business metrics of your choice so clusters are more useful and less arbitrary. Derived methods to measure campaign performance accurately for each member even if a member can not be part of a target or control group at the same time. - This is important if you want to associate campaigns with member behaviour effectively. - The data mining process does not require expensive hardware or time. Advised and audited on a large variety of product features relating to statistics, data visualisation and communication. Contributed to product feature development and ideas. Show less
-
-
-
-
Part Time Consultant
-
Aug 2013 - Feb 2014
Facilitated by Uniservices, I worked with an external client to: -Audit statistics in product dashboard -Suggest areas of improvement -Generate insights to drive future development strategies
-
-
Education
-
University of Auckland
Doctor of Philosophy (PhD), Computer Science -
University of Auckland
Master’s Degree, Statistics -
University of Auckland
Bachelor of Commerce (BCom), Finance and Statistics -
University of Auckland
BSc, Biological Sciences