Summary
Overview
Work History
Education
Skills
School Activity
Languages
Timeline
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Huiming Zhang

Sydney,NSW

Summary

Detail-oriented data science professional with expertise in data cleaning, modeling, and visualization using Python, R, and Tableau. Proficient in applying machine learning and deep learning techniques, achieving up to 90% accuracy in predictive tasks on real-world datasets. Skilled in managing large datasets and developing predictive models, with a strong focus on delivering actionable insights through dashboards and visual reports.

Overview

2
2
years of professional experience

Work History

Marketing Assistant

JT College
Sydney, Australia
02.2024 - 05.2025
  • Built the company’s marketing presence from scratch across major platforms, developing and executing end-to-end promotional strategies.
  • Created 300+ posters and 50+ promotional videos by leveraging AI tools, significantly improving content production efficiency.
  • Conducted extensive competitor data collection, performed statistical analysis, and provided data-driven recommendations for advertising budget allocation.
  • Designed compelling visual content and marketing materials tailored to audience preferences, enhancing brand visibility and engagement.
  • Analyzed market trends and consumer behavior to refine promotional tactics, and optimize outreach effectiveness.

Data Researcher Intern

Chinese Academy of Sciences
Changzhou, China
11.2023 - 01.2024
  • Cleaned and processed over 10,000 neural spike data entries using Python, ensuring high data quality for downstream analysis.
  • Reproduced and optimized time-series predictive models, including LSTM and RNN, achieving a maximum accuracy of 84%.
  • Developed algorithms and statistical methods to extract actionable insights from large-scale neuroscience datasets.
  • Built visualizations and performance evaluation charts to effectively communicate model outcomes and data patterns.
  • Designed and implemented machine learning models using Python to forecast neural activity trends based on historical patterns.

Data Analyst Intern

Mercer
Sydney, Australia
06.2023 - 08.2023
  • Processed and cleaned nearly 1,000 data entries, investigating data classification issues, and identifying underlying causes.
  • Enriched datasets by integrating relevant geographic information to support spatial trend analysis.
  • Identified and analyzed industry and geographic trends, with implications for business strategy.
  • Transformed raw data into actionable insights using statistical techniques, and built interactive visualizations to facilitate data-driven decision-making.
  • Supported multiple projects involving data collection, storage, and forecasting, ensuring accuracy and consistency across diverse datasets.

Education

Master of Science - Machine Learning

University of Sydney
02-2026

Skills

  • Machine learning and statistical modeling
  • Data visualization and market analysis
  • Microsoft Office proficiency
  • Analytical skills and problem-solving
  • R and Python programming
  • SQL database management
  • Tableau data presentation

School Activity

Student Union Campaign Propaganda: Led team members to observe and analyze school traffic characteristics and formulated publicity plans based on data, coordinated and communicated with all departments on the event day, obtaining the most support votes, adjusted the publicity work plan, resulting in a 50% increase in the final number of votes compared to expectations

Languages

English
Professional
Mandarin
Native/ Bilingual
Cantonese
Native/ Bilingual

Timeline

Marketing Assistant

JT College
02.2024 - 05.2025

Data Researcher Intern

Chinese Academy of Sciences
11.2023 - 01.2024

Data Analyst Intern

Mercer
06.2023 - 08.2023

Master of Science - Machine Learning

University of Sydney

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Huiming Zhang