Data Analytics & Finance

About Me

Xinru-99 Kaggle

I am a data analytics professional with a strong foundation in finance and business intelligence. My academic journey spans across prestigious Australian universities, where I developed expertise in data-driven decision making and financial analysis.

Contact

Email: Xinruwang1999@outlook.com

Education

Master of Commerce, Data Analytics for Business
The University of Sydney, 2023

Bachelor of Commerce, Finance
The University of Newcastle, 2021

Research Interests

  • Machine Learning: Developing predictive models and algorithms for business applications
  • Deep Learning: Advanced neural network architectures for complex data analysis
  • Artificial Intelligence Seismology: Applying AI techniques to geological and seismic data interpretation
  • Business Analytics: Leveraging data science for strategic business insights

Professional Experience

Data Science Competitions

  • Active participant in Kaggle data analysis competitions
  • Experienced in end-to-end machine learning project development
  • Skilled in data preprocessing, feature engineering, and model optimization

 PUBLICATIONS

Data Science Projects

Kaggle Competition Participation

  • Active participant in various data analysis competitions on Kaggle
  • Applied machine learning techniques to solve real-world business problems
  • Demonstrated proficiency in data preprocessing, feature engineering, and model selection
  • Collaborated with global data science community to develop innovative solutions

Academic Research Projects

  • Business Analytics Capstone Project (University of Sydney, 2023)
    • Developed predictive models for business decision-making
    • Applied advanced statistical methods and machine learning algorithms
    • Presented findings to industry stakeholders
  • Financial Data Analysis (University of Newcastle, 2021)
    • Analyzed financial market trends using quantitative methods
    • Implemented risk assessment models for investment portfolios
    • Utilized statistical software for comprehensive data analysis

Technical Skills

  • Programming Languages: Python, R, SQL
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau
  • Statistical Analysis: Advanced statistical modeling and hypothesis testing
  • Database Management: SQL Server, MySQL, PostgreSQL
  • Business Intelligence: Power BI, Excel Advanced Analytics

 AWARDS

Academic Achievements

Master of Commerce, Data Analytics for Business - The University of Sydney, 2023

  • Graduated with distinction in advanced data analytics and business intelligence
  • Completed comprehensive coursework in machine learning, statistical modeling, and business strategy

Bachelor of Commerce, Finance - The University of Newcastle, 2021

  • Strong foundation in financial analysis, risk management, and quantitative methods
  • Developed expertise in financial modeling and investment analysis

Professional Development

Data Science Competitions

  • Active participant in Kaggle competitions with demonstrated problem-solving skills
  • Experience in collaborative data science projects and peer learning

Technical Certifications (Pursuing)

  • Machine Learning and Deep Learning specializations
  • Advanced Python for Data Science

Skills & Competencies

Analytical Skills

  • Advanced statistical analysis and hypothesis testing
  • Predictive modeling and forecasting
  • Data mining and pattern recognition

Technical Proficiency

  • Programming: Python, R, SQL
  • Data Visualization: Tableau, Power BI, matplotlib
  • Machine Learning: scikit-learn, TensorFlow, PyTorch
  • Database Management: MySQL, PostgreSQL