Joon Kiat
Analytics Engineer (Group - Data) at Advance Intelligence Group- Claim this Profile
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Bio
Lukas Civin
I was lucky to have Joon Kiat in my team. We worked together for about 1.5 years and during the journey he consistently exceeded expectations. Whenever it was necessary to apply his capabilities or learn new technology, methods or models, JK was able to deliver very high quality work. I loved his documentation and also his attitude seeking cross-check validation of his works to avoid any bugs or inefficiencies. We worked on Graph DBs, Privacy computing, Real time risk systems, Kafka streams ingestions and processing, GCP, etc. etc. Great team-player!
Vignesh KR
Joon Kiat was one of 3 initial hires for the data team handling Vaccination Operations as MOH began tentative first steps to protecting Singapore. This sounds very dramatic but when you have to work with evolving processes and unclear data schema (because we were exploring every data source that could help us understand what we needed to work with and what we needed to update on), you need colleagues who can work with some chaos and make sense of it. Joon Kiat was always quick to grasp what many stakeholders were asking for and he was quick to work out solutions which he and the team would then work on. I cannot share more as the work is ongoing and sensitive but I'd hire him again in a hurry if I started another start up again.
Lukas Civin
I was lucky to have Joon Kiat in my team. We worked together for about 1.5 years and during the journey he consistently exceeded expectations. Whenever it was necessary to apply his capabilities or learn new technology, methods or models, JK was able to deliver very high quality work. I loved his documentation and also his attitude seeking cross-check validation of his works to avoid any bugs or inefficiencies. We worked on Graph DBs, Privacy computing, Real time risk systems, Kafka streams ingestions and processing, GCP, etc. etc. Great team-player!
Vignesh KR
Joon Kiat was one of 3 initial hires for the data team handling Vaccination Operations as MOH began tentative first steps to protecting Singapore. This sounds very dramatic but when you have to work with evolving processes and unclear data schema (because we were exploring every data source that could help us understand what we needed to work with and what we needed to update on), you need colleagues who can work with some chaos and make sense of it. Joon Kiat was always quick to grasp what many stakeholders were asking for and he was quick to work out solutions which he and the team would then work on. I cannot share more as the work is ongoing and sensitive but I'd hire him again in a hurry if I started another start up again.
Lukas Civin
I was lucky to have Joon Kiat in my team. We worked together for about 1.5 years and during the journey he consistently exceeded expectations. Whenever it was necessary to apply his capabilities or learn new technology, methods or models, JK was able to deliver very high quality work. I loved his documentation and also his attitude seeking cross-check validation of his works to avoid any bugs or inefficiencies. We worked on Graph DBs, Privacy computing, Real time risk systems, Kafka streams ingestions and processing, GCP, etc. etc. Great team-player!
Vignesh KR
Joon Kiat was one of 3 initial hires for the data team handling Vaccination Operations as MOH began tentative first steps to protecting Singapore. This sounds very dramatic but when you have to work with evolving processes and unclear data schema (because we were exploring every data source that could help us understand what we needed to work with and what we needed to update on), you need colleagues who can work with some chaos and make sense of it. Joon Kiat was always quick to grasp what many stakeholders were asking for and he was quick to work out solutions which he and the team would then work on. I cannot share more as the work is ongoing and sensitive but I'd hire him again in a hurry if I started another start up again.
Lukas Civin
I was lucky to have Joon Kiat in my team. We worked together for about 1.5 years and during the journey he consistently exceeded expectations. Whenever it was necessary to apply his capabilities or learn new technology, methods or models, JK was able to deliver very high quality work. I loved his documentation and also his attitude seeking cross-check validation of his works to avoid any bugs or inefficiencies. We worked on Graph DBs, Privacy computing, Real time risk systems, Kafka streams ingestions and processing, GCP, etc. etc. Great team-player!
Vignesh KR
Joon Kiat was one of 3 initial hires for the data team handling Vaccination Operations as MOH began tentative first steps to protecting Singapore. This sounds very dramatic but when you have to work with evolving processes and unclear data schema (because we were exploring every data source that could help us understand what we needed to work with and what we needed to update on), you need colleagues who can work with some chaos and make sense of it. Joon Kiat was always quick to grasp what many stakeholders were asking for and he was quick to work out solutions which he and the team would then work on. I cannot share more as the work is ongoing and sensitive but I'd hire him again in a hurry if I started another start up again.
Credentials
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Professional Certificate in Machine Learning and Artificial Intelligence
Imperial College Business SchoolDec, 2022- Nov, 2024 -
AI for Industry - Foundations in AI
AI SingaporeOct, 2020- Nov, 2024 -
Data Science Math Skills
CourseraAug, 2020- Nov, 2024
Experience
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Advance Intelligence Group
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Singapore
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Technology, Information and Internet
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100 - 200 Employee
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Analytics Engineer (Group - Data)
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Dec 2021 - Present
Advance Intelligence Group is series D FinTech startup valued at 2+ billion USD. We serve 700+ enterprise clients, 150,000+ merchants and 20 million+ consumers. We serve Enterprise, Consumers and Merchants through our Business Units - ADVANCE.AI, Atome Financial, Ginee 𝗞𝗲𝘆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Reports to and work with the Chief Data Officer on data projects, in the risk/fraud, and financial service space across business units (Atome BNPL, ADVANCE.AI, Kredit Pintar) within Asia. • Develop services and write code for real-time event processing and analytics in Google Cloud Platform (GCP), to establish a production-ready Risk Decision Engine, for digital financial transactions and customer onboarding (eKYC) • Co-designed and built the real-time Risk Engine, data pipelines and architecture for risk analytics in GCP with the following – Feature Store (Vertex AI) for ML, REST APIs, Serverless Functions, BigQuery, dbt, Pub/Sub, and DataFlow • Co-managed the feature development of banking microservices, across business teams, to support the Risk Engine’s integrations. Work with DevOps on Cloud infrastructure, code version control (Git), and infrastructure as code (Terraform) • Piloted the use of Graph Databases (Neo4j) and Graph Data Science for fraud and anomaly detection in loan disbursements transactions 𝗔𝘄𝗮𝗿𝗱𝘀: CEO Award for Outstanding Contributions (2022) 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Risk engine & Data architecture development in Google Cloud for digital retail banking · Fraud detection with Graph Databases · Privacy Computing (Data Joint Modelling) · Metrics dashboard for risk monitoring and financial unit economy analysis ___________________________________________ Show less
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Ministry of Health (Singapore)
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Singapore
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Government Administration
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700 & Above Employee
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Data Analyst, Manager (Operations Systems Development and Data)
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Dec 2020 - Dec 2021
𝗞𝗲𝘆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: • Analyzed data and delivered reports to Political Office Holders, the Cabinet and the Prime Minister, to facilitate decision making, as part of the nationwide COVID Vaccination Operations • Worked on data workflows to support Vaccination Operations for data processing and analysis of millions of data points across multiple sources • Designed and built dashboards (SQL and Tableau), to visualize data-derived insights for operational decisions. Increased operational efficiency by orienting the teams to extract information from dashboards. • Performed regression-based modelling and other statistical analysis, and presented the findings to management to aid decision making and strategic planning for COVID • Co-authored a publication in The Lancet Regional Health - Western Pacific 17 (2021), and in Clinical Infectious Diseases (2022) 𝗔𝘄𝗮𝗿𝗱𝘀: The Commendation Medal (COVID-19), National Award - Issued by Prime Minister's Office Singapore (2023) 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Python · PostgreSQL · Presto · Tableau · Statistical Analysis (Logistic Regression & Multi-Variate Analysis) · Microsoft Azure (Serverless Functions) Show less
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Thales
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France
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IT Services and IT Consulting
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700 & Above Employee
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Data Analyst (Machine Learning)
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Jul 2019 - Dec 2020
𝗞𝗲𝘆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:• Designed and implemented an advanced warning crowd management system, to support operational decision-making, by statistically analysing behavioural data and building agent based models• Implementing a predictive alert and monitoring system for satellite communication using Deep Learning (CNNs [U-Net] and LSTMs) and Machine Learning, trained on weather parameters and images. Model's predictions were visualised on a web-based dashboard using Dash & Plotly• Analysing data on energy consumption, and visualising consumption patterns, in order to build a system that provides recommendations to reduce energy costs in urban transport infrastructures• Engaged with external clients on the business development and life cycle of data science projects (e.g. project development, design-thinking workshops)𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Sequence-to-sequence prediction of images and semi-structured data using CNNs and LSTM · Data analytics for energy savings · Fault detection 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Python · TensorFlow · Deep Learning (CNN, LSTMs) · Machine Learning (XGBoost, Random Forests) · REST APIs · Plotly · Dash · Multi-Variate Regressions (Logistic & Linear) Show less
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Social Scientist (Analytics)
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Apr 2017 - Jun 2019
Thales is a global technology leader with more than 81,000 employees on five continents. The Group is investing in digital and “deep tech” innovations – Big Data, artificial intelligence, connectivity, cybersecurity and quantum technology – to build a future we can all trust.Thales's high-tech solutions, services and products help companies, organisations and governments to achieve their goals and ambitions. And in each of our five vertical markets — digital identity and security, defence and security, aerospace, space, and transport — our customers play a vital role in society.𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Python · TensorFlow · Deep Learning (CNN, LSTMs) · Machine Learning (XGBoost, Random Forests) · REST APIs · Plotly · Dash · Multi-Variate Regressions (Logistic & Linear) Show less
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Singapore Prison Service
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Singapore
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Security and Investigations
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400 - 500 Employee
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Psychology Intern (PCRD)
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May 2014 - Aug 2014
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Community
