Koo Ping Shung

Koo Ping Shung Koo Ping Shung is an influencer

Singapore
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Volunteer Experience

  • DataScience SG Graphic

    Co-Founder

    DataScience SG

    - Present 11 years 6 months

    Science and Technology

    DataScience SG is one of the largest and active Data Science meetup group in Singapore. We are a no-cash-involved (that being said, we cannot guarantee non-advert) community. We organize meetups and workshop for the community, achieving the mission of "Leveling up the Community". Our main task is to educate the public on what to expect from data science (its no magic pill definitely), what the job of data scientist truly consist of and also helping business to understand how they can benefit…

    DataScience SG is one of the largest and active Data Science meetup group in Singapore. We are a no-cash-involved (that being said, we cannot guarantee non-advert) community. We organize meetups and workshop for the community, achieving the mission of "Leveling up the Community". Our main task is to educate the public on what to expect from data science (its no magic pill definitely), what the job of data scientist truly consist of and also helping business to understand how they can benefit from data science.

    If you are interested to share your knowledge with the community (we are looking for the technical hardcore stuff), please drop me a PM.

  • Data Ambassador

    DataKind Singapore

    - 2 months

    Environment

    DataKind Singapore assisted Earth Hour through Data Science in 2015 and I am honored to be chosen as the Data Ambassador together with two team mates Gergely Danyi and Yeo Wee Kiang, to manage the Earth Hour project, ensuring that the deliverables and insights from a team of volunteer data scientist are relevant and provide great value to Earth Hour.

Publications

  • Analysis of star ratings in consumer reviews: A case study of Yelp

    Big Data (Big Data), 2015 IEEE International Conference

    This paper presents an analysis of star ratings in consumer reviews in Yelp, an online social platform for sharing consumer reviews about local businesses. In particular, we analyze consumer reviews about food businesses. We analyze how well or poorly the star ratings (on a scale of one star to five stars) associated with these reviews tally with the sentiment derived from the textual portion of the consumer review.

    Other authors
    See publication

  • Ad-Hoc Automated Teller Machine Failure Forecast and Field Service Optimization

    IEEE International Conference on Automation Science and Engineering (CASE 2015)

    As part of its overall effort to maintain good customer service while managing operational efficiency and reducing cost, a bank in Singapore has embarked on using data and decision analytics methodologies to perform better ad-hoc ATM failure forecasting and plan the field service engineers to repair the machines. We propose using a combined Data and Decision Analytics Framework which helps the analyst to first understand the business problem by collecting, preparing, and exploring data to gain…

    As part of its overall effort to maintain good customer service while managing operational efficiency and reducing cost, a bank in Singapore has embarked on using data and decision analytics methodologies to perform better ad-hoc ATM failure forecasting and plan the field service engineers to repair the machines. We propose using a combined Data and Decision Analytics Framework which helps the analyst to first understand the business problem by collecting, preparing, and exploring data to gain business insights, before proposing what objectives and solutions can and should be done to solve the problem. This paper reports the work in analyzing past daily ad-hoc ATM failures, forecasting ad-hoc ATM failures and then using the forecasted results to optimize the number of field service engineers to deploy in each geographical zone, to minimize the number of daily unattended ad-hoc ATM failures. The optimization model ensures that the least number of engineers are deployed in each zone on each day. However, to maintain a consistent number of engineers for a 2-week schedule, we recommend to deploy the maximum number of engineers in each zone within the 2 weeks. The resulting surplus engineer idle hours is reduced, and it represents a cost savings of 28.6% when compared with the bank’s current practice.

    Other authors
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  • After Analytics, What's Next?

    SAS Global Forum 2012

    After gathering great insights from our data, the next steps would be devising and executing the strategy based on these insights. Strategy planning and execution can be seen as both an art and a science. Without proper planning and execution, these insights that we gathered would be meaningless. Many frameworks have been devised to help businesses in their strategy planning and execution. But most of them have generally been used at corporate level; for instance Balanced…

    After gathering great insights from our data, the next steps would be devising and executing the strategy based on these insights. Strategy planning and execution can be seen as both an art and a science. Without proper planning and execution, these insights that we gathered would be meaningless. Many frameworks have been devised to help businesses in their strategy planning and execution. But most of them have generally been used at corporate level; for instance Balanced Scorecards.

    Here we introduce a framework, adapted from an ancient treatise of war, “Sun Zi Art of War,” that can provide a strong framework at the strategy planning and execution stage so that analysts can assess the feasibility of their devised strategy.

    See publication

  • Perils of Ignoring Social Media

    SAS Global Forum

    In 2010, we saw Social Media gaining influence over consumers while businesses remain apprehensive of engaging conversations online. Consumers have no qualms in making their voices heard on Social Media at all. Moreover, Social Media has become an avenue for consumers to seek more information before they make their purchase or patronize a service provider. Such behavior is even more prevalent with the coming of smartphones. Smartphones have developed a big group of “untethered” consumers that…

    In 2010, we saw Social Media gaining influence over consumers while businesses remain apprehensive of engaging conversations online. Consumers have no qualms in making their voices heard on Social Media at all. Moreover, Social Media has become an avenue for consumers to seek more information before they make their purchase or patronize a service provider. Such behavior is even more prevalent with the coming of smartphones. Smartphones have developed a big group of “untethered” consumers that together with the abovementioned behavior, has offered “real-time” information to the communities they reside in and thus may affect buying decisions by the hundreds. In this paper, we are going to illustrate with examples of how businesses have responded to the challenges that social media brought to them.

    See publication

  • Using Facebook to engage SAS Users

    SAS Global Forum 2012

    Social media has become a regular and common platform for organizations and businesses to engage relevant stakeholders. This is a very surprising phenomenon given that social media has taken its current form within the past few years. Because it is a new technology, there is no proper literature on how social media should be used to achieve designated objectives. As such, the use of social media is by trial and error, gaining lessons from the usage experience.

    Here we would like to share…

    Social media has become a regular and common platform for organizations and businesses to engage relevant stakeholders. This is a very surprising phenomenon given that social media has taken its current form within the past few years. Because it is a new technology, there is no proper literature on how social media should be used to achieve designated objectives. As such, the use of social media is by trial and error, gaining lessons from the usage experience.

    Here we would like to share our experiences in using Facebook to engage members of the Singapore SAS Users Group (SUG). We have not reached a stage where we are considered successful, but we hope that such sharing can help other SUGs around the world.

    See publication

  • Application of Analytics in Business Strategy

    Business Intelligence Journal

    In the most well-known ancient treatise of war, Sun Tzu Art of War, the following quote was made by Sun Tzu, He who knows his enemy and himself well will not be defeated easily. He who knows himself but not his enemy will have an even chance of victory. He who does not know himself and his enemy is bound to suffer defeat in all battles. (Sun Tzu Art of War, Chapter 3) In most of the papers written on analytics, they are mostly focus on certain operations or functions of the business. The…

    In the most well-known ancient treatise of war, Sun Tzu Art of War, the following quote was made by Sun Tzu, He who knows his enemy and himself well will not be defeated easily. He who knows himself but not his enemy will have an even chance of victory. He who does not know himself and his enemy is bound to suffer defeat in all battles. (Sun Tzu Art of War, Chapter 3) In most of the papers written on analytics, they are mostly focus on certain operations or functions of the business. The current literature lacks the discussion of analytics on the strategic planning and execution. As such in this paper we are going to discuss more about using analytics where possible to improve upon the strategy planning and execution. This paper will at times use quotes from Sun Tzu Art of War as support for analytics application in strategic planning and execution.

    See publication

Courses

  • Business Continuity Process

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  • Digital:Works 2013

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  • Principles of Negotiation

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  • Reputational Risk

    -

  • SAS Data Integration Studio

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  • SAS Macro Language 2

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  • Seven Habits of Highly Effective People

    -

Projects

Honors & Awards

  • Certificate of Appreciation

    The Institute of Banking and Finance, Singapore

    Contributed 6 "Data Analytics" articles to Learn@IBF.

  • LinkedIn Top Voices 2020 - Singapore

    LinkedIn

    https://www.linkedin.com/pulse/linkedin-top-voices-2020-singapore-yunita-ong/

    One of the sixteen awardees for the inaugural LinkedIn Top Voice Singapore.

    What he talks about: Koo, a data scientist, trainer and consultant, wants to help people build successful data science careers. Taking inspiration from his students and tech community discussions, he busts common data science myths, offers guidance for those reskilling to join the industry and shares resources for learning. He…

    https://www.linkedin.com/pulse/linkedin-top-voices-2020-singapore-yunita-ong/

    One of the sixteen awardees for the inaugural LinkedIn Top Voice Singapore.

    What he talks about: Koo, a data scientist, trainer and consultant, wants to help people build successful data science careers. Taking inspiration from his students and tech community discussions, he busts common data science myths, offers guidance for those reskilling to join the industry and shares resources for learning. He says that “everyone is a teacher” to him in his professional network and he often shares his posts with other data science experts to get their views and insights.

Languages

  • English

    Professional working proficiency

  • Chinese

    Native or bilingual proficiency

  • Cantonese

    Elementary proficiency

Organizations

  • EntreBoss Hub @ NLB

    Co-lead

    - Present

    EntreBoss Hub is a grassroot lead community to provide a platform for entrepreneurs, startup, business managers to learn business skills & knowledge, network, share opportunities.

  • DataScience SG

    Co-founder

    - Present

    Data Science is founded by a group of Data Science Enthusiasts who wants to use data to tell stories, stories that can assist organization to be more effective and efficient. (URL:http://datascience.sg/) MOOC courses facilitate(d): 1) Machine Learning - Andrew Ng 2) Exploratory Data Analysis 3) Discrete Optimization Workshop Conducted 1) Introduction to R and Machine Learning Moderator for Panel on "How to be a Data Scientist."

  • DataKind Singapore

    Data Ambassador, Discussion Facilitator

    -

    Member of the Outreach Team. Responsibility is to engage NGOs and preparing them for the Project Accelerator Nights where volunteer data scientist and NGOs gathered together to brainstorm on how to gather and use data to help NGOs better reach their objectives. Facilitator during the Project Accelerator Night (March 2015) for the World Toilet Organization's group discussion. Data Ambassador for Earth Hour Project. Key responsibilities is to ensure data and other resources are available and…

    Member of the Outreach Team. Responsibility is to engage NGOs and preparing them for the Project Accelerator Nights where volunteer data scientist and NGOs gathered together to brainstorm on how to gather and use data to help NGOs better reach their objectives. Facilitator during the Project Accelerator Night (March 2015) for the World Toilet Organization's group discussion. Data Ambassador for Earth Hour Project. Key responsibilities is to ensure data and other resources are available and conducive for data science work by volunteer data scientist during the DataDive event.

  • Dollars & Sense Learning Community

    Facilitator

    -

    Dollars & Sense Learning Community aims to improve the overall financial literacy of its members through books and sharing of opinion. Topics that we cover range from budget planning to investing in commodities. We meet up once a month (exclude Dec) on the 3rd Sat, at the Jurong Regional Library (11-12.30pm) and [Tampines session is not available anymore] Tampines Regional Library (4-5.30pm). Topics discussed includes: - Stocks and shares - Bonds - Unit Trusts - Reading Financial Statements -…

    Dollars & Sense Learning Community aims to improve the overall financial literacy of its members through books and sharing of opinion. Topics that we cover range from budget planning to investing in commodities. We meet up once a month (exclude Dec) on the 3rd Sat, at the Jurong Regional Library (11-12.30pm) and [Tampines session is not available anymore] Tampines Regional Library (4-5.30pm). Topics discussed includes: - Stocks and shares - Bonds - Unit Trusts - Reading Financial Statements - Technical Analysis - Retirement Planning - Insurance Planning and so on.

  • SAS User Group Singapore

    Chairman of Working Committee

    -

    SAS User Group Singapore was set up to raise the professionalism of the SAS Users in Singapore. It aims to increase the Analytics Knowledge of SAS Users in Singapore. Activities include bi-monthly meeting where Analytics professionals are invited to share their experience through seminar and panel discussion. The role of the Chairman is to organize bi-monthly meetings, coordinate between SAS Institute Singapore and SAS User Group Working Committee. During the tenure, the membership of the…

    SAS User Group Singapore was set up to raise the professionalism of the SAS Users in Singapore. It aims to increase the Analytics Knowledge of SAS Users in Singapore. Activities include bi-monthly meeting where Analytics professionals are invited to share their experience through seminar and panel discussion. The role of the Chairman is to organize bi-monthly meetings, coordinate between SAS Institute Singapore and SAS User Group Working Committee. During the tenure, the membership of the Working Committee has grown from 2 to 6 (end 2011). Reference: http://www.sascommunity.org/wiki/SAS_User_Group_%28Singapore%29

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