Terence Foo Email & Phone Number
Who is Terence Foo? Overview
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Terence Foo is listed as Head Business Analytics Solutions at ST Engineering, a with 17121 employees, based in Singapore. AeroLeads shows a matched LinkedIn profile for Terence Foo.
Terence Foo previously worked as SOFTWARE ENGINEER (DATA ENGINEERING AND ANALYTICS) at St Engineering and SOFTWARE ENGINEER (VIDEO ANALYTICS, COMPUTER VISION) at St Engineering. Terence Foo holds Master'S Degree, Enterprise Business Analytics from National University Of Singapore.
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About Terence Foo
As a software engineering professional, I bring extensive experience in developing and deploying data analytics solutions, with demonstrated successes in integrating diverse hardware and software to craft customized client-specific systems. My expertise lies in constructing sophisticated machine-learning models and robust data processing pipelines.I have an outstanding track record of leveraging agile software engineering principles to optimize project flow and ensure the delivery of superior technological solutions. Working with high-performing, multi-cultural, and cross-functional teams, I excel in delivering multiple concurrent projects in fast-paced and dynamic environments.My key functional strengths include expertise in Agile Scrum methodology, data analytics, data processing pipelines, machine learning, project management, software engineering, stakeholder relationship management, strategic planning, and team leadership & developmentLet's connect for mutual opportunities.
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Terence Foo work experience
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Software Engineer (Data Engineering And Analytics)
CurrentI have served as a Software Engineer specializing in Data Engineering and Analytics at ST Engineering / Group Engineering Center / Smart Enterprise Platform. In this role, I have undertaken various responsibilities aimed at streamlining data processing and analysis. One significant achievement has been the development of a text extraction workflow, automating document processing and data entry for both free text and tabular data. This initiative has led to substantial time and effort savings in parsing and analyzing documents.Additionally, I've spearheaded the training of a supervised machine learning model to identify individuals of interest within a vast database of individual profiles. This endeavor has enhanced our capacity to pinpoint relevant information swiftly and accurately. Moreover, I've contributed to the creation of informative dashboards and network graph visualizations, consolidating intelligence gathered on persons of interest. These visualizations have proven instrumental in facilitating better decision-making processes and uncovering actionable insights from complex data sets.Furthermore, I've leveraged time series analytics to develop a predictive analytics model tailored for predictive maintenance use cases. This initiative has enabled proactive maintenance interventions, optimizing operational efficiency and minimizing downtime. Noteworthy achievements during my tenure include the successful implementation of ETL pipelines to efficiently prepare data from multiple sources for an intelligence fusion solution utilizing Dataiku. Additionally, I've developed a data analytics solution, accommodating up to 100 users, using SAS Viva and SAS Enterprise Guide. These contributions have significantly enhanced our data processing capabilities and supported strategic decision-making within the organization.
Software Engineer (Video Analytics, Computer Vision)
During my time as a Software Engineer specializing in Video Analytics and Computer Vision at ST Engineering / Land Defense Systems / Software Engineering Centre from October 2019 to September 2021, I undertook pivotal responsibilities aimed at enhancing data processing efficiency and optimizing hardware requirements. One notable accomplishment was the development of an image and video annotation toolkit designed to expedite the process of annotating incoming data. This toolkit significantly streamlined data annotation workflows, enabling faster analysis and decision-making processes.Additionally, I led the development of a groundbreaking video analytics module leveraging multi-task machine learning techniques. This module revolutionized hardware requirements by consolidating multiple video analytics tasks into a single model, thereby optimizing resource utilization and enhancing system performance.My contributions also extended to deploying lightweight and real-time deep learning models on UAV platforms for video analytics tasks. This initiative enabled seamless integration of advanced analytics capabilities into UAV operations, facilitating real-time insights and decision-making in dynamic environments.Furthermore, I played a pivotal role in designing deep learning models tailored for resource-constrained platforms, particularly focusing on environment monitoring capabilities for Unmanned Aircraft System (UAS) network solutions. These models empowered UAS to execute missions covering vast areas while operating within limited resource constraints. This innovation facilitated remote launch capabilities via a command center operated by a lean crew, enhancing operational efficiency and mission effectiveness.
Engineer
During my time in Engineering at ST Engineering / Advanced Materials Engineering / Soldier Systems Division from July 2018 to September 2019, my responsibilities revolved around ensuring the quality and timely delivery of raw materials and components for various projects. I established and maintained strong relationships with suppliers, resulting in consistent on-time delivery of orders. Additionally, I conducted site inspections and material testing to verify that quality standards were met.One of my key contributions during this period was in the development and delivery of an improved Load Bearing Vest for the Singapore Armed Forces. This involved a comprehensive process, including procurement and sourcing of materials, and design enhancements aimed at better load distribution across different muscle groups of the body and improved heat dissipation. Notable features of the new Load Bearing Vest included an adjustable belt, detachable body armor carrier, and lightweight fabric material. These enhancements allowed soldiers to easily fit their night vision goggles and communication headset, making the vest 10% lighter than the previous version. Overall, this project significantly improved soldier comfort and mobility while enhancing operational effectiveness.
Colleagues at ST Engineering
Other employees you can reach at stengg.com. View company contacts for 17121 employees →
Kheng Huang Yeo
Colleague at St EngineeringSingapore
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Pk Lim
Colleague at St EngineeringSingapore
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Charnpreet Singh
Colleague at St EngineeringLudhiana, Punjab, India
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Fushun Hong
Colleague at St EngineeringSingapore
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Seamus Kinane
Colleague at St EngineeringDublin, County Dublin, Ireland
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Nelson Raynold
Colleague at St EngineeringSingapore
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Liu Fei
Colleague at St EngineeringSingapore
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Chris Lim
Colleague at St EngineeringSingapore
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Roberto Duran
Colleague at St EngineeringSan Antonio, Texas Metropolitan Area, United States
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QY
Quek Yee Kheng
Colleague at St EngineeringSingapore
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Terence Foo education
Master'S Degree, Enterprise Business Analytics
Bachelor Of Engineering - Be, Materials Science And Engineering
Frequently asked questions about Terence Foo
Quick answers generated from the profile data available on this page.
What company does Terence Foo work for?
Terence Foo works for ST Engineering.
What is Terence Foo's role at ST Engineering?
Terence Foo is listed as Head Business Analytics Solutions at ST Engineering.
Where is Terence Foo based?
Terence Foo is based in Singapore while working with ST Engineering.
What companies has Terence Foo worked for?
Terence Foo has worked for St Engineering.
Who are Terence Foo's colleagues at ST Engineering?
Terence Foo's colleagues at ST Engineering include Kheng Huang Yeo, Pk Lim, Charnpreet Singh, Fushun Hong, and Seamus Kinane.
How can I contact Terence Foo?
You can use AeroLeads to view verified contact signals for Terence Foo at ST Engineering, including work email, phone, and LinkedIn data when available.
What schools did Terence Foo attend?
Terence Foo holds Master'S Degree, Enterprise Business Analytics from National University Of Singapore.
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