JiE Zhu (Elliot)

Staff Data Scientist, Core R&D at BioCatch

Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud. Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment. Perform exploratory data analysis and data visualisation to gain insights and communicate findings. Collaborate with multi-region cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production. Implement advanced analytics tools and technologies to enhance reporting capabilities.

Senior Data Scientist at Willow Inc

Developed anomaly detection and time-series forecasting models to support predictive maintenance in built environments. Created LLM-driven diagnostic tools and automated fault detection solutions used in major engagements with SoFi Stadium (LA), Brookfield (Global), and Walmart (US). Implemented privacy-preserving analytics and intelligent automation, reducing manual interventions while improving uptime.

Consultant at Servian (A Cognizant Company)

Delivered scalable machine learning pipelines and automated workflows for clients including WooliesX, Commonwealth Bank, and Endeavour Group (BWS & Dan Murphy’s). Built search classification & recommendation models deployed at production scale using PySpark, Vertex AI, and Airflow. Led Bayesian inference and uplift modelling projects to evaluate campaign effectiveness and customer conversion impact. Created real-time dashboards and interactive reports using SQL, Looker, and Tableau to communicate insights to stakeholders.

Staff Data Scientist at Macquarie Group

Designed and deployed large-scale LLM platforms for Macquarie Group, transforming financial document ingestion into risk-aligned insights at scale. Partnered with C-suite executives to guide governance frameworks, regulatory assurance, and strategic adoption of AI.

RAG Solutions & AI Accelerators at Insight Enterprises and Microsoft

Built a multi-agency Retrieval-Augmented Generation (RAG) accelerator for rapid AI solution prototyping in collaboration with Microsoft Australia. Delivered AI projects across industries: University of Sydney – Cogniti.ai (compliance & governance knowledge retrieval); PetBarn – Pet AI (intelligent pet product recommendation engine); Cricket Australia (AI-generated live match commentary); Blackmores (AI marketing compliance system). Supported client pitches as technical advisor and solution architect.

Epidemiologist at NSW Health

Delivered SEIR-based transmission modelling and daily Covid-19 forecasts. Automated overnight reporting pipelines producing press-ready government summaries.

Data-Driven Recruitment & Research Analytics at Macquarie University

Designed and executed digital & international student recruitment strategies, achieving significant growth in Greater China markets. Built BI platforms to benchmark research collaborations and optimise institutional strategy. Contributed to Macquarie’s rise in global rankings (Top 250 → Top 190).

Lecturer & Teaching Fellow at University of Sydney & UNSW Sydney

Delivered regular lectures and tutorials in Data Engineering and Data Science (University of Sydney) and Health Data Science (UNSW). Mentored postgraduate students and developed case-based exercises integrating modern ML tooling.

Data Scientist - Core R&D (Staff Level) at BioCatch

Staff‑level data scientist in APAC core R&D, collaborating with stakeholders to translate business requirements into predictive models for fraud detection. Develop and deploy statistical, machine learning and deep learning models in production, perform exploratory data analysis and visualization to communicate insights, and work with cross‑region data engineers and software developers to design end‑to‑end scalable solutions and reporting capabilities.

Data Scientist (Senior Level) at Willow INC

Delivered cloud‑native AI solutions including anomaly detection and time‑series forecasting for predictive maintenance in built environments. Built LLM‑driven diagnostic tools and automated fault detection used in engagements with SoFi Stadium, Walmart, and Brookfield. Implemented privacy‑preserving analytics and intelligent automation to reduce manual interventions and improve uptime.

Consultant at Servian

Delivered scalable ML pipelines and automated workflows for clients including WooliesX, Commonwealth Bank, and Endeavour Group. Built search, classification and recommendation models at production scale using PySpark, Vertex AI, and Airflow. Led Bayesian inference and uplift modelling projects and created real‑time dashboards and reports for stakeholders.

Epidemiology at NSW Health

Delivered SEIR‑based transmission modelling and daily COVID‑19 forecasts; automated overnight reporting pipelines and produced government summaries.

Data‑Driven Recruitment & Research Analytics at Macquarie University

Designed and executed digital and international student recruitment strategies; built BI platforms to benchmark research collaborations and support institutional strategy; contributed to Macquarie's ranking growth.

Lecturer & Teaching Fellow at University of Sydney & UNSW

Casual lecturer/tutor teaching Data Engineering, Data Science and advanced ML; mentored postgraduate students and developed case‑based exercises integrating modern ML tooling.