I am an experienced Data Analyst with a strong background in data analysis, quality assurance, and dashboard creation at Manulife Investment Management. During my internship at RBC Global Asset Management, I applied machine learning and data mining techniques to produce data-driven insights. My role at Scotiabank/1832 Asset Management further enhanced my skills in securities analysis and process optimization using Python and SQL. As Co-President of the Undergraduate Business Network, I demonstrated leadership by building teams, fostering partnerships, and achieving significant growth. I am a top-performing candidate pursuing a Bachelor's degree in Finance at the University of Western Ontario, with a keen interest in entrepreneurship and investing. My technical proficiency includes SQL, Python, data analysis tools, and more, making me a valuable asset for data-driven finance and analytics projects.
• Engaging in data exploration and analysis to uphold the consistency and quality of raw data from various sources
• Enhancing daily data quality tests to guarantee the accuracy, reliability, and integrity of data across the organization
• Acquiring data and creating interactive dashboards to furnish stakeholders with actionable analytics in real-time.
• Implementation of various machine learning models, data mining methods, statistical analysis, and report creation
• Produce data-driven insights to create informed decisions and actions through leveraging visualization packages
• Develop Business Intelligence POCs, including work on research-based initiatives within current financial markets
• Analyzing datasets of different potential investment securities (Fixed Income, Equity, Etc.) for mutual funds
• Utilizing programming languages (PowerShell, Python, SQL) to identify bottlenecks and devise efficient solutions
• Interacting and designing detailed and in-depth reports for the investment team to analyze and devise decisions
Bachelors of Financial Management
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