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I am an analytical and detail-oriented professional with several years of progressive experience in data analysis and machine learning, cross-functional team coordination, and international operations. I hold a Master of Statistics from the Australian National University and have successfully completed several data-driven, continuous-improvement projects. I am adept at turning data and systems into real improvements, thrive in fast-paced, deadline-driven international environments, and am excited to bring my experience to a Data/Consulting role.…I am an analytical and detail-oriented professional with several years of progressive experience in data analysis and machine learning, cross-functional team coordination, and international operations. I hold a Master of Statistics from the Australian National University and have successfully completed several data-driven, continuous-improvement projects. I am adept at turning data and systems into real improvements, thrive in fast-paced, deadline-driven international environments, and am excited to bring my experience to a Data/Consulting role.

Hongyu Zhou

Data Visualizer, Graphic Designer, Poster Designer, +2

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I am an analytical and detail-oriented professional with several years of progressive experience in data analysis and machine learning, cross-functional team coordination, and international operations. I hold a Master of Statistics from the Australian National University and have successfully completed several data-driven, continuous-improvement projects. I am adept at turning data and systems into real improvements, thrive in fast-paced, deadline-driven international environments, and am excited to bring my experience to a Data/Consulting role.…I am an analytical and detail-oriented professional with several years of progressive experience in data analysis and machine learning, cross-functional team coordination, and international operations. I hold a Master of Statistics from the Australian National University and have successfully completed several data-driven, continuous-improvement projects. I am adept at turning data and systems into real improvements, thrive in fast-paced, deadline-driven international environments, and am excited to bring my experience to a Data/Consulting role.

Available to hire

I am an analytical and detail-oriented professional with several years of progressive experience in data analysis and machine learning, cross-functional team coordination, and international operations.

I hold a Master of Statistics from the Australian National University and have successfully completed several data-driven, continuous-improvement projects. I am adept at turning data and systems into real improvements, thrive in fast-paced, deadline-driven international environments, and am excited to bring my experience to a Data/Consulting role.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Work Integrated Learning (WIL) at ANU International Student Office

February 1, 2026 - Present

Developed brand positioning and go-to-market strategies for ANU's international student recruitment, including South-Asia TNE launch road map; analysis drew on industry and market-sizing data and informed ANU's international recruitment roadmap for the 2025-2030 cycle. Applied market sizing and Exploratory Data Analysis (EDA) using rcParams for hierarchical pivot analysis and inform SWOT recommendations for ANU target South Asia market. Delivered 10k words consulting report with 10+ pivot plots and presentation deck to inform and influence senior management, resulted in the adoption of SWOT recommendations for ANU’s target South Asia market.

Freelance AI Developer at APZIVA

September 1, 2025 - March 1, 2026

Designed and deployed AI systems across vision, NLP, and speech using PyTorch/TensorFlow + Llama, with LLaVA model moved from prototype to production for OCR use case and achieved 90%+ KPIs. Managed 11k bank data records through full ML pipeline from dataset curation and model training to cloud deployment and human-in-the-loop feedback loops using AWS/GCP + Mlflow. Processed 50k raw JSON records from PostgreSQL and developed F1-score and accuracy benchmarks aligned to business requirements, adopting XBG model over the baseline for its higher recall on high-value cases, adjusting the classification threshold to reduce false negatives, and prioritising data-quality fixes on FHIR. Recommendations were accepted by my supervisor.

Intern at MASTERMINDZ

September 1, 2025 - November 1, 2025

Generated and managed 1,000 B2B leads at a 9% conversion rate by designing and executing hybrid SEO of digital PR and SEO-optimized contents across LinkedIn and Google Ads within 3 weeks. Produced 10+ end-to-end campaign assets to successfully promote the launch of two educational products, reaching 300 parents and driving a 11% lift in click-through versus the prior baseline. Designed social media creatives, product posters, and pitch decks in Canva that increased engagement (likes, shares, comments) and follower growth.

Intern at IBUILD

July 1, 2025 - October 1, 2025

Designed and implemented an automated data integration pipeline with the ICT team, consolidating CRM, sales, and inventory data into a unified Tableau model; enabled 3 new seasonal performance reports and reduced time-to-insight from 5 days to 48 hours for the sales team. Created high-quality Tableau visualization dashboards, enabling more timely business reporting, and simplified performance monitoring by 75%. Enhanced data accuracy by repairing 3K+ customer records via automated cleaning rules and manual verification, reducing data errors by 68% and increasing sales and marketing efficiency.

Intern at Talent Solutions

June 1, 2023 - August 1, 2023

Improved A/B testing pricing prediction accuracy to 73% by developing and optimising decision tree models to forecast optimal market price points for agricultural lobster market. Built customer segmentation and price forecasting models using logistic regression, enabling data-driven pricing decisions across five customer segments.