Hao Z.

Big Data Developer @ CHINA STATE CONSTRUCTION (CSCEC)

About

I have a genuine passion for data science, artificial intelligence, and their potential to drive impactful insights. My educational background includes a Bachelor's degree in Finance, specializing in Capital Market and Economics, and a Master's degree in Computing with a focus on data science. Throughout my studies, I have developed strong skills in Java, Python, and database management. I am particularly interested in risk analysis, data modeling, and the transformative potential of blockchain technology in the financial sector. I am constantly seeking new opportunities to enhance my knowledge and stay up to date with the latest advancements in these areas. Beyond my academic pursuits, I enjoy exploring the intersection of technology and finance. I am fascinated by the power of data to inform decision-making and drive positive change. I am eager to contribute my skills and knowledge to organizations that are harnessing the potential of data-driven insights.

Country

China

City

Beijing

Industry

Computer Software

Skill

Databases, Data Maintenance, Mathematical Statistics, Relational Databases, Software Development, Data Mining, Machine Learning, Symbolic AI, Quantitative Research, Applied Econometrics, Research Skills, Python (Programming Language), Financial Modelling, Data Analysis, Business Analysis, Communication, Programming, Financial Analysis

Experience

Big Data Developer

CHINA STATE CONSTRUCTION (CSCEC)

2024-7 - Present · 2 yrs 3 mos

Beijing, China

• Conducting data operations and analysis in CSCEC Digital Technology. • Developing and maintaining data pipelines and databases. • Implementing data-driven solutions to improve operational efficiency.

Clinical Trials Modelling Intern

Canberra Health Services

2023-2 - 2023-6 · 5 mos

Canberra, Australian Capital Territory, Australia

• Enhanced the feasibility of clinical trials through a data-driven model for auditing. • Researched the Clinical Trials Lifecycle, identifying patterns and key variables. • Applied data analytics techniques to construct a modelling system for clinical trials. • Collaborated with a diverse team, honing skills in modelling and data analytics. • Streamlined financial processes and optimized resource utilization.

Education

The Australian National University

Computer Science: Data Science & AI

2022-2 - 2023-12 · 1 yr 11 mos

Completed Master of Computing at The Australian National University, specializing in Data Science and Artificial Intelligence. This program offers an extensive curriculum designed to provide a comprehensive understanding of computer science principles and their applications. My studies are focused on advanced topics in data science and AI, allowing me to delve deep into areas such as machine learning, data analysis, and Symbolic AI. Through a combination of coursework and practical projects, I am gaining valuable insights and hands-on experience in utilizing cutting-edge technologies.

The Australian National University

Finance: Capital Market & Economics

2019-2 - 2021-12 · 2 yrs 11 mos

During my Bachelor's degree, I focused on finance, economics, and econometrics, gaining a solid foundation in financial principles, quantitative analysis, and economic theories. I actively engaged in extracurricular activities to enhance my university experience. I acquired expertise in data analysis, employing statistical techniques, financial modeling tools, and Excel to derive valuable insights from data. I developed a key skill in forecasting, utilizing Time series models to accurately predict outcomes by analyzing historical trends and identifying patterns. Proficiency in MATLAB allows me to apply advanced statistical techniques for solving complex problems. Additionally, I possess a strong foundation in financial valuation, employing the DCF model to estimate asset values and evaluate investments, while critically evaluating financial statements considering inflation and market conditions to determine fair value.