• Conduct standard data entry processes, transferring data from one source to another, while inspecting for completeness and accuracy to prevent processing issues.• Specialize in FINTRAC reporting, a highly detailed and repetitive task, requiring strong attention to detail and consistency in execution.• Utilize unique data analytic programs to deliver innovative solutions, ensuring client satisfaction and data integrity.• Analyze data using Power BI and Tableau, generating comprehensive reports and visualizations for stakeholders.• Coordinate with debt collectors, maintain accurate records, and produce reports to support debt management efforts.• Exhibit excellent verbal and written communication skills, effectively managing stressful, time-sensitive tasks while following job aids and instructions with precision.• Perform data gathering and entry tasks with precision and speed, adhering to team production and accuracy standards.• Collect, clean, and preprocess large datasets from various sources to ensure data integrity and usability for analysis and model building.• Build interactive dashboards and reports to communicate insights and findings to both technical and non-technical stakeholders using tools such as Tableau, Power BI, Matplotlib, and Seaborn.• Work closely with data engineers, business analysts, and stakeholders. Provide mentorship and guidance to analysts within the team.• Ensure compliance with data security and privacy regulations, maintaining confidentiality and ethical use of data in all stages of the data lifecycle.

• Promoted and sold PC Financial credit cards to customers, achieving monthly sales targets and contributing to overall team performance.• Educated customers on the features and benefits of various credit card products, tailoring recommendations based on individual financial needs and spending habits.• Provided exceptional customer service by answering inquiries, resolving issues, and assisting customers through the application process, ensuring a seamless experience.• Collaborated with marketing teams to implement promotional campaigns, increasing customer engagement and credit card sign-ups during key promotional periods.• Analyzed customer feedback and market trends to refine sales strategies, optimizing the approach to meet dynamic customer demands and exceed sales goals.• Consistently ranked among the top sales performers, recognized for exceeding expectations in credit card sales and customer satisfaction.

• Developed and deployed machine learning models for predictive analytics, anomaly detection, and classification tasks.• Leveraged Scikit-learn and TensorFlow to design and optimize supervised and unsupervised learning algorithms, including regression models, decision trees, random forests, SVMs, and neural networks.• Applied NLP techniques to text data for sentiment analysis, entity recognition, and topic modeling, enhancing customer feedback analysis processes.• Worked with large-scale datasets, performing data preprocessing, feature engineering, and dimensionality reduction techniques such as PCA to improve model performance.

• Developed user-friendly web applications using Flask, Django, Spring Boot, and Hibernate, ensuring seamless user experience and efficient backend processes.• Continuously advancing in Python full-stack development, focusing on building scalable and maintainable applications.• Managed databases like PostgreSQL, MySQL, and SQL Yog, emphasizing data integrity, security, and efficient querying techniques.• Created dynamic, responsive applications using Java, Python, HTML, CSS, JavaScript, Angular, and Bootstrap, enhancing front-end functionality and user experience.• Enhanced skills in data analytics by performing advanced data manipulation, analysis, and visualization to drive business insights.