Siheng Song
Sydney,NSW
Summary
Knowledgeable about research areas and study procedures. Enthusiastic about setting up and carrying out wide array of studies. Diligent, industrious and efficient in handling minute details with methodical approaches to gain insights into financial and economic field. Data analysis ability with python programming and powerBI.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Research Analyst
KOSEC
03.2024 - 09.2024
- Prepared detailed reports summarizing research findings and recommendations for further action.
- Conducted in-depth qualitative and quantitative research to identify trends and generate insights.
- Collaborated with cross-functional teams to generate relevant insights from diverse datasets.
- Elaborated the accuracy of analysis using python programming to compare companies' financial ratio in the same industry
Data Analyst Intern
Deloitte
06.2021 - 09.2021
- Conducted thorough data validation and cleanup using python
- Operated Excel VBA for data collection and preprocessing
- Enhanced data visualization capabilities for better decision-making with the use of powerBI
- Implemented Machine learning to do data classification for further analysis on company's fundamental value
Education
Master of Economics - Econometrics And Quantitative Economics
University of Sydney
Sydney, NSW02.2026
Skills
- PowerBI
- Microsoft Excel
- Data Analytics
- Python Programming
- Econometric analysis
- Microsoft PowerPoint
Accomplishments
Accomplished CFA level 1 certification
Joined in Quantitative Trading program in University
Certification
CFA
Languages
English
Full Professional
Chinese (Mandarin)
Native or Bilingual
Timeline
Research Analyst
KOSEC
03.2024 - 09.2024
Data Analyst Intern
Deloitte
06.2021 - 09.2021
Master of Economics - Econometrics And Quantitative Economics
University of Sydney
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