<ul><li>Discovered a good business idea through market research, customer survey, and front-end prototyping.</li><li>Researched suitable tech stacks and break the MVP down into small doable projects.</li><li>Recruited highly talented students from USA and Vietnam, identify their strengths and weakness, standardized training materials, and train them to prioritize their own tasks and work independently.</li><li>Tools used by team: TypeScript, Python, GitLab, AWS EC2, WordPress SEO, Google Optimize.</li><li>Results: Free Extension published on Chrome Web Store, marketing campaign launched.</li></ul>

Founder

<ul><li>Developed scalable microservices to pull external data and serve analytical results to business operations.</li><li>Collaborated with Data Scientists/Engineers, developing ML models to make insurance smarter.</li></ul>

Senior Software Engineer

<ul><li>Product: A decision support system for financial institutions lending to agricultural companies.</li><li>Developed APIs to Extract-Transform-Load (ETL) data and cross-check with government databases.</li><li>Developed valuation and machine learning (forecasting…) models, updating the credit continuously.</li><li>Strategized software migration, data security, DevOps plans, and managing junior developers.</li><li>Scaled up the software, deploy microservices to the distributed clusters, and do network engineering.</li><li>Prototype Tools: API (SOAP/REST), Python (SQLAlchemy, Facebook’s Prophet…), AWS (EC2, RDS, ECS-Docker, Route53, CloudFront, Load Balancer...), JavaScript (Node-Express), Linux, GitLab CD.</li><li>Scale-up Tools: Django, Microservices Architecture, Terraform, Multi-Cloud Strategy.</li><li>Results: Software fully automated, processing valuations of multimillion-dollar every week.</li></ul>

Data Scientist/ Senior Developer

<ul><li>Aim: Work with two major hospitals in Sydney. Migrate data from the legacy databases to AWS.</li><li>Built an analytics platform for Data Science Research and Real-time Clinical Decision Support.</li><li>In a team of four, strategized system architecture and prototyping.</li><li>Developed the workflow and scalable software for the data pipeline, from Extract-Transform-Load (ETL) to Data Normalization and Data Quality Control (via a Dashboard).</li><li>Tools: Amazon Workspace, Python (SqlAlchemy…), R (SqlRender, Shiny), PostgreSQL, OHDSI medical open-source tools, CERNER hospital information system.</li><li>Results: Delivered the data pipeline, discussed tests and use cases with the hospitals</li></ul>

Data Engineer

<ul><li>Product: An AI platform that provides real-time market information to crypto traders, helping them maximize profits while minimizing risks.</li><li>Managed a core team of 6 people, including external consultants and in-house developers.</li><li>Was responsible for the development of the ICO web app for the token sale.</li><li>Set up the continuous deployment pipeline from GitLab to AWS, connect the ICO payments to the blockchain and analyze sale data.</li><li>Wrote the user stories (requirement document) for the website, distribute the workload and coordinate the progress between team members. Trained a student with progressive tasks.</li><li>Tools: JavaScript, Python, AWS (Serverless, Lambda, S3, Cognito, DynamoDB…), GitLab CI/CD.</li><li>Result: The ICO website collected around 100,000 Euros during the first few weeks of opening.</li></ul>

Data Scientist/Web Developer

<ul><li>Aim: Develop IoTA models for EuroLeague - the premium basketball competition in Europe.</li><li>Automatically analyzed videos to create highlight snippets in real-time.</li><li>Contributed to all stages: brainstorming, feasibility study, modelling, productization, and validation.</li><li>Analyzed time-series data from IoT sensors (accelerometers) with Machine Learning and Signal Processing algorithms. Continuously integrate new models into the Big Data platform.</li><li>Automated data cleansing, and wrote a webpage in PHP/ MySQL for mass data annotation.</li><li>Tools: Python(keras, sklearn, xgboost…), Linux, Elastic Search, Atlassian, PHP/MySQL.</li><li>Results: Mobile app “HEED EuroLeague” on iOS and Android went live during basketball season.</li></ul>

Data Science Junior

<ul><li>Aim: Quantum Cryptography for Satellite communication in Low Earth Orbit.</li><li>Worked with tight deadlines and industrial standards (Technology Readiness Level 8/9).</li><li>Analyzed data from space-endurance tests. Programmed embedded microcontroller.</li><li>Developed Software (Tcl/Tk in Linux) for real-time visualization of the signal.</li><li>Tools: Cypress Programmable System-on-Chip, Tcl/Tk, Linux, Altium Designer, Autodesk Inventor.</li><li>End-Result: Payload survived NASA Antares explosion 2014, successfully re-launched 2015.</li></ul>

Quantum-Satellite Engineer

rokt is an application developed by Hung Do to parse input text files and then expose an API for querying with POST requests.

Data Pipeline API Service

Hung Do

In a team of three, ranked at the top 6% (Position 29/486, submission 'trang_hung_sachin_2') in a global AI competition by Andrew Ng, a widely recognized leader in AI Research.

Top 6% in Andrew Ng's Roman Digit Recognition Competition

In a team of seven, won the First Prize in the Mental-Health Category, ACS Flatten-the-Curve Hackathon for COVID19.

First Prize Winner #Flattenthecurvehack challenge

English (British)

Hung is a full-stack data scientist with expertise in both math statistics and agile software development. She has processed financial valuations of multi-million dollars for agricultural corporates, analyzed clinical data for major hospitals in Australia, and developed machine learning models for the EuroLeague - Europe’s premier basketball competition. She brings a wealth of international experience to her teams, having worked and studied in Singapore, France, Germany, Switzerland, and Australia. She completed her Ph.D. at UNSW Sydney with a Dean’s Award Nomination for the Top 10% of Theses.

Hung Do

Employment Highlights

Education Highlights

Portfolio

Data Pipeline API Service

Top 6% in Andrew Ng's Roman Digit Recognition Competition

First Prize Winner #Flattenthecurvehack challenge

Data Pipeline API Service

Top 6% in Andrew Ng's Roman Digit Recognition Competition

First Prize Winner #Flattenthecurvehack challenge