Ted Zhao
Norwood,Australia
Summary
5+ years in Machine Learning and Data Science across finance, travel, and retail sectors. Delivered end-to-end ML solutions with deep business insights. Improved CTR by up to 10% at Skyscanner through advanced recommendation systems. Expert in customer segmentation, demographic profiling, and A/B testing.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Data/AI Engineer
Rainmakr.ai
05.2023 - 07.2024
- Company Overview: Finance Startup
- Developed LLM prompts to categorize company data, enhancing industry insights
- Created knowledge graphs with LLMs, improving financial decision-making accuracy
- Simplified data models with DBT, reducing schema size by 50% and redundant data by 15%
- Optimized queries, cutting runtime by 50% through data flow enhancements
- Integrated DBT with Dagster Cloud, unifying data streams and improving presentation
- Finance Startup
- Skills: LLMs, Data Modeling, ETL, DBT, Dagster, Performance Optimization
ML Engineer/Data Scientist
Skyscanner
05.2021 - 05.2023
- Company Overview: Collaborated with European Team
- Increased CTR by 5-10% using Logistic Regression, LightGBM, and Deep Learning models
- Achieved 99% Top-5 accuracy in image categorization with ResNet, enhancing user engagement
- Improved CTR by 3% by refining thumbnail selection using MobileNet
- Boosted CTR by 2% through real-time data streaming and batch processing optimization
- Collaborated with European Team
- Skills: Machine Learning, Computer Vision, Deep Learning, ETL, AWS, Databricks, MLOps, MLflow
Research Project
University of Adelaide
09.2022 - 02.2023
- Developed a crypto trading strategy using Reinforcement Learning
- Designed a Sharpe Ratio-based reward system for asset trading actions
- Created Deep Learning modules to capture price signals and market sentiment
- Conducted back-testing with metrics like Sharpe Ratio and Maximum Drawdown
- Skills: Reinforcement Learning, Trading Strategies, Deep Learning, Back-Testing
Data Scientist
DJI
04.2018 - 08.2018
- Conducted competitive analysis using a custom Python web crawler for product launch
- Developed ranking algorithms to prioritize city distribution, aiding marketing strategy
- Performed customer segmentation analysis to support strategic planning
- Built Django APIs for SQL querying and data model management
- Skills: Data Analysis, Web Scraping, Python, Django, Customer Segmentation
Data Scientist
Smart Decision Technology Ltd
08.2015 - 03.2018
- Designed Python-based credit scorecard workflows, replacing SAS solutions
- Built a simulation system for S.F
- Express, securing a 2-year contract
- Applied K-Means clustering for member segmentation at HKJC
- Developed NLP-based sentiment analysis for Chinese app reviews
- Skills: Credit Risk Modeling, Simulation, Clustering, NLP, Flask, SQLAlchemy
Education
Master of Machine Learning -
University of Adelaide
Adelaide, SA05.2023
Bachelor of Mathematical Sciences -
Shenzhen University
07.2014
Quantitative Trading with Reinforcement Learning -
University of Adelaide
Adelaide, SA02.2023
Skills
Machine Learning & AI: Reinforcement Learning, Deep Learning, NLP, LLMs, RAG Systems, Customer Segmentation, Credit Risk Modeling, A/B Testing, Backtesting, Clustering
Tools & Technologies: LightGBM, XGBoost, SVM, Word2Vec, Databricks, Snowflake, MLflow, Azure ML, AWS, SageMaker, Docker, Git
Programming & Frameworks: Python, VBA, Scala, Julia, Django, Flask, Streamlit, Asyncio, Scrapy, Pandas, SQL, SQLAlchemy
Big Data & Cloud: Spark, DBT, Dagster, Tableau
Applications: ETL, Data Modeling, Data Ingestion, Computer Vision, Web Scraping, Simulation
Emerging Tech: OpenAI, Model Fine-tuning, RAG Systems, Performance Optimization
Certification
- Machine Learning, Coursera, https://www.coursera.org/account/accomplishments/verify/Q89DMB9RYYTB
- Machine Learning Nanodegree, Udacity, https://graduation.udacity.com/confirm/PKAQPLU2
Languages
English
Full Professional
Mandarin
Native or Bilingual
Cantonese
Native or Bilingual
Sideprojects
ATO Chatbot, ato-chat.streamlit.app
Engineered an AI-driven chatbot for the Australian Taxation Office (ATO) to facilitate information retrieval, utilizing Retrieval-Augmented Generation (RAG) with LlamaIndex and Qdrant. Deployed the solution via Streamlit, ensuring a seamless and user-friendly interface. Enhanced data ingestion and model fine-tuning processes with ZenML, employing OpenAI's language model for precise, context-aware responses and intelligent query rephrasing., LLMs, RAG Systems, Streamlit, ZenML, OpenAI, Data Ingestion, Model Fine-tuning
Timeline
Data/AI Engineer
Rainmakr.ai
05.2023 - 07.2024
Research Project
University of Adelaide
09.2022 - 02.2023
ML Engineer/Data Scientist
Skyscanner
05.2021 - 05.2023
Data Scientist
DJI
04.2018 - 08.2018
Data Scientist
Smart Decision Technology Ltd
08.2015 - 03.2018
Bachelor of Mathematical Sciences -
Shenzhen University
Quantitative Trading with Reinforcement Learning -
University of Adelaide
Master of Machine Learning -
University of Adelaide
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