I bring over six years of valuable experience from roles including Customer Experience Associate at TD Canada Trust, AI Data Trainer (Mathematics) at Invisible Technologies Inc., Research Assistant in Data Analysis at Ve…
I bring over six years of valuable experience from roles including Customer Experience Associate at TD Canada Trust, AI Data Trainer (Mathematics) at Invisible Technologies Inc., Research Assistant in Data Analysis at Verafin, Research Assistant at Memorial University, and Data Analyst at Shariati Hospital. Excel in SQL, Python, and data visualization tools, including Tableau and Power BI, and expertise in MS Office 365, Cloud Service Platforms, Java, JavaScript, and HTML. Possess a master's degree in mathematics, specializing in graph theory, providing a solid foundation in analytical and problem-solving. Strong interpersonal skills, critical thinking abilities, and a commitment to continuous learning significantly contribute to strategic decision-making and organizational success in data analytics.
Managed data collection about bypass surgery, employing statistical software and data analysis language to clean, format, visualize, and analyze the data using Excel and SQL, resulting in actionable insights for process improvement.
• Created visually compelling presentations to communicate analyzed data and insights to team members and management, facilitating informed decision-making and fostering collaboration.
• Developed and executed SQL queries to extract and analyze data, leading to a 15% increase in productivity and cost savings through data-driven optimizations.
Managed various financial transactions, including deposits, withdrawals, loan and mortgage payments, wire transactions, drafts, and bill payments, leading to a customer satisfaction score of 98%.
Proactively consulted customers to understand how to utilize the Fintech industry and banking products, resulting in a 50% investment.
Collaborated with the team to create an efficient work environment by communicating routines and activities effectively.
Utilized banking platforms to analyze customers' financial expenditures, enhancing the company's service offerings and client relationships.
Facilitated AI analysis across various subject areas through extensive dialogue.
Conducted thorough evaluations of AI accuracy and data interpretation.
Employed deliberate techniques to challenge and refine AI capabilities.
Interpreted AI outcomes and implemented performance-enhancing training strategies.
Conducted research on the new model intended to make a data-driven decision for developing my idea on thesis, leading to participating in 4 conferences to introduce it.
Invigilated, proctored, and marked midterm exams and assignments to give students feedback, resulting in 100% of students' and supervisors' satisfaction.
Illustrated the growth trend/fluctuating trend in students' grades and informed supervisors, leading to marking final exams.
Conducted comprehensive research and data analysis, stopping an 80% decrease in damage ratios from the second money laundering stage.
Developed algorithms for a new modelling initiative, improving outcomes and insights.
Utilized VS Code for debugging and Python coding to optimize algorithms, achieving a 13% improvement in efficiency and accuracy.
Participated weekly in meetings with the Data Science and Mitacs team to identify patterns and inform strategic decision-making processes.
Managed data collection about bypass surgery, employing statistical software and data analysis language to clean, format, visualize, and analyze the data using Excel and SQL, resulting in actionable insights for process improvement.
Created visually compelling presentations to communicate analyzed data and insights to team members and management, facilitating informed decision-making and fostering collaboration.
Developed and executed SQL queries to extract and analyze data, leading to a 15% increase in productivity and cost savings through data-driven optimizations.
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