Trang Do
AeroLeads people directory · profile

Trang Do Email & Phone Number

Principal Cloud Data Engineer at Stats NZ
Location: Wellington, New Zealand 10 work roles 3 schools
LinkedIn matched
✓ Verified August 2026 3 data sources Profile completeness 86%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Principal Cloud Data Engineer
Location
Wellington, New Zealand
Company size

Who is Trang Do? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Trang Do is listed as Principal Cloud Data Engineer at Stats NZ, a with 1138 employees, based in Wellington, New Zealand. AeroLeads shows a matched LinkedIn profile for Trang Do.

Trang Do previously worked as Data Analysis Lead at Tertiary Education Commission and Senior Research and Data Analyst at Ministry Of Business, Innovation And Employment. Trang Do holds Phd, Electrical And Computer Engineering from National University Of Singapore.

Company email context

Email format at Stats NZ

This section adds company-level context without repeating Trang Do's masked contact details.

Stats NZ

Review company-level records connected to Trang Do before choosing the right outreach path.

Profile bio

About Trang Do

Experienced computer science and data science professional with over 20 years of expertise, adept at managing teams, driving project success, and fostering innovation. Proven track record of developing performance measures, leading high-impact projects, and delivering actionable insights. Skilled in data analysis, modelling, and visualisation, with proficiency in agile methodologies and the software development lifecycle. Excels in communication, problem-solving, people management, and relationship management, with a commitment to driving data-driven outcomes.

Current workplace

Trang Do's current company

Company context helps verify the profile and gives searchers a useful next step.

Stats NZ
Stats Nz
Principal Cloud Data Engineer
Wellington, NZ
Website
Employees
1138
AeroLeads page
10 roles

Trang Do work experience

A career timeline built from the work history available for this profile.

Principal Cloud Data Engineer

Wellington, Nz

Data Analysis Lead

Current

Wellington, New Zealand

About My Team:I lead a team of seven highly skilled and diverse analysts specialising in delivering data-driven solutions. Together, we collaborate with data warehouse developers, data engineers, data scientists, and web developers to deliver multiple large-scale projects, including Tahatu, Modern Data Platform (MDP), FeesFree, Apprenticeship Boost Initiative (ABI), Data Exchange Platform (DXP), Data System Refresh (DSR), and Echo.Our team's focus includes:• Supporting business data requests with timely and accurate insights.• Design and model data warehouses.• Delivering data analysis, automation, forecasting, and GenAI services for businesses, teams, and projects.• Designing and deploying GenAI chatbots and managing data update processes.About My Role:In this role, I:• Lead the team strategically, fostering collaboration and leveraging our diverse cultural, professional, and personal backgrounds.• Mentor and support team members to work efficiently and deliver high-quality outcomes.• Coordinate data requests from stakeholders, ensuring smooth allocation and execution.• Drive GenAI strategies and architectures to align with organisational goals.• Provide strategic oversight and contribute to multiple high-impact projects.Key Achievements:• Established a cohesive and inclusive team culture through regular meetings, cultural sharing sessions, and team-building events.• Enhanced team productivity by identifying and resolving roadblocks whilst keeping the team motivated.• Designed and implemented logical and physical architectures for GenAI chatbots.• Successfully developed and deployed a GenAI chatbot for a high-priority project.• Designed and developed automation algorithms supporting curation processes.I am able to blend leadership, technical expertise, and innovation, empowering my team to deliver impactful, data-driven solutions.

Jul 2024 - Present

Senior Research And Data Analyst

Wellington, Wellington, New Zealand

Top senior in Insight, Stewardship and Practice Development. Developed performance measures for Evidence and Insights (E&I) and the MBIE performance report. MBIE recognition card, and acknowledgement from top management.• Developed prototype and collaborated with managers and directors to produce the first ever MBIE quarterly performance report. Received MBIE MAHI TAHI better together recognition card for exceptional contributions and expertise; Excellent feedback from Deputy Secretary Digital, Data, and Insights, Deputy CFO, and SLT; Acknowledgement from GM Enterprise Strategy, Risk and Transformation and GM Data, Insights and Intelligence.• Developed performance measures and produced a Products and Services Catalog for E&I. Provided support, and influenced people's leaders.• Led multivariate time‑series forecasting for tourism and economic measures using deep learning.• Contributed to cross‑agency IDI projects.• Collaborated in research with VUW, Otago, NUS, HUST, Weltec; Published extensively in international journals and conference proceedings.

Nov 2023 - Jul 2024

Senior Research And Data Analyst

Wellington, Wellington Region, New Zealand

Senior, Tech Lead, and "Go-to" person in Tourism E&I. Managed multi-million projects. Increased team productivity by 5 times. Saved multi-hundred-thousands. Product became an MBIE-wide infographic template. Appeared twice in MBIE monthly showcase. E&I Excellent Award, MBIE recognition card, and acknowledgement from top management.• Led software development for Insight Automation project, reducing production time by 80% and boosting team productivity fivefold. MBIE DOT monthly showcase Oct 2023; MBIE MĀIA bold and brave recognition card for innovative ideas; E&I EXCELLENT AWARD for innovative solutions improving efficiency.• Managed a team of high-performing data analysts and policy advisors, fostering strong people management skills and effective communication, and creating an inclusive working environment in a cross-MBIE Tourism Monitor project. Delivered project on time and to a high standard. The product becomes MBIE-wide infographic template. Recognition from Tourism GM; MBIE DOT monthly SHOWCASE Nov 2023.• Oversaw multi-million MRTEs project, managing risks and early warnings. Successful project, stakeholder, and issue management, negotiation, communication, and relationship management. Reduced project costs by multi-hundred-thousands and signoff time from months to a week.• Represented the team in interactions with stakeholders, defining requirements, and leading analysts to timely deliver with quality assurance.• Managed multiple-million contracts and projects using agile methodologies such as DevOpps and Kanban.• Managed and chaired TIUG webinars, increasing participation by 40%.• Demonstrated supportive leadership by mentoring, coaching, and helping people with technical understanding and data analysis, providing guidance on professional development, as well as providing constructive feedback; Deep learning data science project supervision.• Discussed performance measurements, set team goals, and planned strategies to meet them with manager.

Feb 2023 - Nov 2023

Senior Lecturer

Wellington

Senior lecturer in Data Science for students, government, banks, and international companies. Advised 17 undegraduates and 3 postgraduates. Awards for Teaching Excellence, Best Industrial Project, and $60k research and innovation funds.Research Grants• PI of W&W Research & Innovation Fund 2023 "AI framework to predict drug-target interaction"• Conference funding to AICI 2023Projects:• Developed an AI system which understands Māori designs using deep learning techniques and Python with 95% accuracy.• Advised a data mining and data analytic project which visualises and finds the correlation between mobility and COVID‑19 with a 400K‑record dataset. BEST INDUSTRIAL PROJECT AWARD ‑ 2020.Courses:• DS6501 - Social Data Analytics• DS6502 - Data Analysis & Visualisation• ID6501 - Responsive Web DesignExtra:• Teach Power BI, Excel, SQL Server, project management to staff from NZ main banks, Ministries, & international companies from Australia, UK.

Nov 2022 - Feb 2023

Lecturer

Wellington, New Zealand

Awards:• Teaching Excellence Award 2021 - Runner-UpResearch Grants• PI of W&W Research & Innovation Fund 2020-2021 "Deep generative and predictive models in drug discovery"• PI of W&W Research & Innovation Fund 2022 "AI framework to predict drug-target interaction"Courses:• IT5507 - Fundamentals of Data Science. Website: https://sites.google.com/view/it5507/• DS6504 - Business Intelligence and Big Data. Website: https://sites.google.com/view/ds6504/• SD7502 - Intelligent System Development. Website: https://sites.google.com/view/sd7502/• IT8406 - Multimedia Application Development for Mobile DevicesAdvisor for Master students• De Jonk Arunika Yamunangani, Scrum Framework Usage in the Information Technology Industry, 2021• Liyong Zhang, Comparison and Evaluation of Data Extraction-Transformation-Loading Tools, 2021• Grant Nagel, Approximating Basketball Player Win Contributions Through Machine Learning, 2023Capstone Project Advisor (for undergraduates):• Amarpreet Singh & Harmandeep Singh (Harman Singh), Covid-19 Tracker, T2/2020 • Trystan Watson & Codie Lane, Infinity Book, T2/2020• Kevin Tamakuwala, Vinith Deepak and Keval Dankhara, Smart Service Booking, T2/2020• Manal Agrawal & Dhruvit Navadiya, Collect and Swap, T2/2020• Thamazin Edson, Collaborative storybook 2, T3/2020• Ayush Agarwal, Emily Benyamin, and Aditya Garg, DOC’s AR Image System, T1/2021• Marcus Vidamo & Eric Mahinay, MAST (Mitre Att&ck SIEM Tool), T2/2021• Daman Narula, CMS Testing, T1/2022• Raghv Bhatia, CarClubs, T2/2022

Mar 2020 - Nov 2022

Research Scientist

1 Fusionopolis Way, #21-01 Connexis ( South Tower), Singapore 138632

Research scientist optimised hardware-oriented software modules. Awards: Minister Innovation and Outstanding Maritime R&D and Technology.Satellite Technology Dept., Institute for Infocomm Research, 2014 – 2018• Designed hardware modules and software system for a high data‑rate radio communication system in the VHF Data Exchange System (VDES) project. Collected, validated, managed, analysed multi‑million‑record sensory data, and detected issues in the system. MINISTER INNOVATION AWARD ‑ 2018 and OUTSTANDING MARITIME R&D AND TECHNOLOGY AWARD ‑ 2019.Signal Processing Dept., Institute for Infocomm Research, 2013 – 2014• Optimized HEVC encoding algorithms for real-time performance. • Optimized transform modules, doubling the speed of the transforms in the I2R HEVC encoder and decoder.• Proposed a new set of hardware-oriented transform implementation for HEVC, which leads to 20% increment in throughput for transform hardware.

Aug 2013 - Dec 2018

Teaching Assistant

Lead teaching assistant. Lectured classes of 200+ students. Nominated for Teaching Excellent award.• Designed lectures, projects and lectured classes of 200+ NUS students in the module EE2024 Programming for Computer Interfacing, which is about the inner workings of and how to program (using ASM & C) an ARM microcontroller and interface it to devices and peripherals, e.g. sensors and actuators, using industry standard protocols such as I2C, SPI/SSP and UART. • Tutored EE2024, EE2020 Digital Fundamentals and CG2007 Microprocessor systems.• Managed and trained 20 Graduate Assistants who assisted students in lab sessions.• Nominated for the best teaching award in the Department.• The designed projects were evaluated as the most interesting projects for year 2 students.Examples of these projects are 1) Smart home control system, 2) Artefact protectioncontrol system in museums, 3) Shock detection and localization system, and 4)Climate control system.

Feb 2011 - Jul 2013

Research Scholar, Graduate Assistant

• Researched on Video Codecs such as H.264/AVC and the emerging HEVC.• Developed fast and low-cost Integer Transform algorithms for HEVC.• Designed Digital ICs for Video Coding including Verification and Testing.• Analyzed Performance-Cost of Digital IC designs.

Aug 2007 - Jan 2011

Lecturer

Vietnam

Lectured classes of 200+ students. Advised 40+ students. Developed curriculum. Represented HUST in a joint programme of UNESCO and multi-international universities. Contributed to multiple national projects.• Designed curriculum for Computer Engineering Department.• Designed CE courses including Computer Aided Design, IC Design, Embedded Systems Design.Lectured IT courses including Introduction to Informatics, Microprocessor, Digital Electronics, Web Programming• Developed Hardware for Non-IT students (Greater Mekong Sub-regional Virtual Universities – GMSVU) in the program “Certificate in ICT for non-IT students”, Bangkok Thailand. GMSVU is a joint of UNESCO and 5 universities.

Jul 2003 - Aug 2007
Team & coworkers

Colleagues at Stats NZ

Other employees you can reach at stats.govt.nz. View company contacts for 1138 employees →

3 education records

Trang Do education

Phd, Electrical And Computer Engineering

Research Interest: Digital Integrated Circuit Design, System on Chip, Video Codecs AUN/SEED-NET scholarship & NUS scholarship

Master, Information Processing And Communication

Thesis title: ASIC/ASIP design processes (Application Specific ICs/Application Specific Instruction Set Processors) First Class Honour

Bachelor - Engineer, Computer Engineering

Thesis Title: Research, design and implementation of a recognition system for Multiple Choice Test automatic grading First Class Honour.

FAQ

Frequently asked questions about Trang Do

Quick answers generated from the profile data available on this page.

What company does Trang Do work for?

Trang Do works for Stats NZ.

What is Trang Do's role at Stats NZ?

Trang Do is listed as Principal Cloud Data Engineer at Stats NZ.

Where is Trang Do based?

Trang Do is based in Wellington, New Zealand while working with Stats NZ.

What companies has Trang Do worked for?

Trang Do has worked for Stats Nz, Tertiary Education Commission, Ministry Of Business, Innovation And Employment, Whitireia And Weltec, and Institute For Infocomm Research.

Who are Trang Do's colleagues at Stats NZ?

Trang Do's colleagues at Stats NZ include Ajinkya (Aj) Gunjal, Brendan Anstiss, Ayana Anil Nair, Alec Golder, and Mahwish Iqbal.

How can I contact Trang Do?

You can use AeroLeads to view verified contact signals for Trang Do at Stats NZ, including work email, phone, and LinkedIn data when available.

What schools did Trang Do attend?

Trang Do holds Phd, Electrical And Computer Engineering from National University Of Singapore.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.

People with similar names

Check these profiles if this is not the Trang Do you were looking for.

View similar profiles