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.
β’ Engaging in data exploration and analysis to uphold the consistency and quality of raw data from various sources
β’ Enhancing daily data quality tests to guarantee the accuracy, reliability, and integrity of data across the organization
β’ Acquiring data and creating interactive dashboards to furnish stakeholders with actionable analytics in real-time.
β’ Implementation of various machine learning models, data mining methods, statistical analysis, and report creation
β’ Produce data-driven insights to create informed decisions and actions through leveraging visualization packages
β’ Develop Business Intelligence POCs, including work on research-based initiatives within current financial markets
β’ Analyzing datasets of different potential investment securities (Fixed Income, Equity, Etc.) for mutual funds
β’ Utilizing programming languages (PowerShell, Python, SQL) to identify bottlenecks and devise efficient solutions
β’ Interacting and designing detailed and in-depth reports for the investment team to analyze and devise decisions
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