Data Science: Innovation & Trends in 2019

Join waitlist?

0 on waitlist

Share:

Raffles City Tower

250 north bridge road · Singapore

How to find us

(Confirmed guests will be notified of exact venue by email)

Location image of event venue

Details

Do you love working with data?

If you just said, “Yes!” then we’d love for you to come join our community of data professionals.

We’ve partnered with Accenture to bring you an evening of talks on data science related topics. Confirmed topics include

Explainable AI and its Importance
Advances and Innovation in Business Analytics

This would be a great way for you to meet other data science professionals in Singapore. We’ll also be serving refreshments to guests who arrive early.

Register today!

This is a free event proudly sponsored by Accenture.

Kindly register on the Eventbrite link below. RSVPing here on meetp.com is not sufficient.

https://www.eventbrite.com/e/data-science-innovation-trends-in-2019-tickets-56162603860?aff=mtup

Please note that registering for this event does not guarantee a seat. We will notify shortlisted guests individually by email.

Speaker Bio:

Fransisca Fortunata is a Data Science Consultant at Accenture Data Science Centre of Excellence in Singapore. She has led and worked on various opportunities such as deep learning and computer vision leveraging drone images for forestry clients, fraud and anomaly detection for public sectors and large scale text analytics for tourism industry. She has also has led teams in visualizations and mobile applications as part of the end to end solution to multiple clients.

Fransisca has recently adopted a Singapore Special dog and spends her free time with her husband and dog at the park.

David Low is currently the Co-founder and Chief Data Scientist at Pand.ai, building AI-powered chatbot to disrupt and shape the booming conversational commerce space with Deep Natural Language Processing. He represented Singapore and National University of Singapore (NUS) in Data Science Game'16 at France and clinched top spot among Asia and America teams. Recently David has been invited as a guest lecturer by NUS to conduct masterclasses on applied Machine Learning and Deep Learning topics. Prior to Pand.ai, he was a Data Scientist with Infocomm Development Authority (IDA) of Singapore.

Throughout his career, David has engaged in data science projects ranging from Manufacturing, Telco, E-commerce to Insurance industry. Some of his works including sales forecast modeling and influencer detection had won him awards in several competitions and was featured on IDA website and NUS publication. Earlier in his career, David was involved in research collaborations with Carnegie Mellon University (CMU) and Massachusetts Institute of Technology (MIT) on separate projects funded by National Research Foundation and SMART.

As a pastime activity, he competed on Kaggle and once achieved worldwide ranking of Top 0.13% out of 100,000+ participants and Top 5 in Singapore on the overall leaderboard. David is also invited as an external technical reviewer at both Manning Publications Co. and Packt on deep learning and machine learning publications.