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DSS-2020-02: SACHIN ABEYWARDANA and AMIR SALEHIPOUR

February 25 @ 5:30 pm - 8:30 pm


Data Science Sydney presents our February 2020 event:

SACHIN ABEYWARDANA: “ProFeTorch”
AMIR SALEHIPOUR: “Optimisation and decision making in practice”

200 seats available, first come, first served for members on the RSVP-yes list. Please ensure that you keep your RSVP up to date. If you cannot make it, please make your spot available for others as soon as possible.

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To comply with CBA Security we need your FIRST and LAST NAME before the event. If these are not your profile name, please enter them when you register. Members who do not provide first and last name will be removed from the guest list and will not be able to attend.

Registration opens at 5:30pm and close at 6:15pm, sharp. Food and beverages between 6pm and 6:15pm. Late comers cannot be admitted.


AMIR SALEHIPOUR: “Optimisation and decision making in practice”

The talk: In the first part of my talk I present a quick review on various optimisation and decision making problems in business that I have been involved in the past 10 years. In the second part of the talk, I present our solution technology: a general framework that can be applied to many decision making problems.

The author: Dr Amir Salehipour is a Senior Lecturer at University of Technology Sydney (UTS) and a fellow of the Australian Research Council. Amir has more than 10 years of experience in the area of optimisation and decision making. Amir has developed and implemented various optimisation models in order to deliver practical solutions for challenging real-world problems, in the domains of data analytics, scheduling, transportation and supply chain, healthcare and finance, among others. To date, Amir has published more than 20 papers in top international journals and won three national and international awards.

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SACHIN ABEYWARDANA: “ProFeTorch”

The talk: Combining Fastai, pyTorch and the essence of Facebook’s prophet to do timeseries analysis. Profetorch was built by me to overcome the limitations of prophet. In this talk I will go through how and why I built Prophetorch, why it’s better and also it’s limitations. In the meantime, a preview can be seen here: https://sachinruk.github.io/ProFeTorch/

The author: Sachin is a senior Machine Learning Engineer at Remi. He’s worked on varying data problems from security, image classification, to currently supply chain optimisation. He was the author of DeepSchool.io. Sachin did his PhD in Bayesian Machine Learning and has since been working heavily in Deep Learning.

Details

Date:
February 25
Time:
5:30 pm - 8:30 pm
Website:
https://www.meetup.com/Data-Science-Sydney/events/268473079/

Venue

Commonwealth Bank of Australia
South Building 1 Harbour Street
Sydney, au
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