Trang Do
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Trang Do Email & Phone Number

Principal Cloud Data Engineer at Stats NZ
Location: Wellington, New Zealand, New Zealand 10 work roles 3 schools
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Current company
Role
Principal Cloud Data Engineer
Location
Wellington, New Zealand, New Zealand
Company size

Who is Trang Do? Overview

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Trang Do is listed as Principal Cloud Data Engineer at Stats NZ, a company with 1138 employees, based in Wellington, New Zealand, 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.

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Stats NZ

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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

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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.
  • 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.
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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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.
  • 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
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/
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.
  • 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.
  • 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.
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, 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 Janice Keys, Asha Paul, Celeste Melhop, Simon Garner, and James Mclean.

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.

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