Jialuo Wang
Quantitative Analyst @Finovax
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WORK HISTORY
Quantitative Analyst @Finovax
Crawled and cleaned 50k+ financial data using Python, resulting in 20% increase in data availability, and reducing data inconsistencies by 15%. Streamlined database queries through MySQL, increasing data retrieval efficiency by 30%, and reducing query response time by an average of 20%, using CTEs and window function.3. Built interactive real-time financial dashboards in Grafana, accelerating real-time data insights. Developed machine learning algorithms like XGBoost, Random Forest, LDA/QDA, SVM on global stock and ETFs data, achieving 88% accuracy rate and outperforming industry benchmarks.
EDUCATION
Boston University
Undergraduate, Statistics and Finance
Duke University - The Fuqua School of Business
Master of Quantitative Management, Business Analytics
ABOUT JIALUO WANG
As I embark on my career in financial data analysis, I am excited to collaborate with dynamic teams and industry experts to solve complex challenges and drive innovation within the financial sector. I am eager to apply my data science, A/B testing, predictive analysis, Python, SQL, and visualization skills to uncover valuable insights, improve risk management, and contribute to the financial success of organizations.
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