Keila Banza
Emerging Data Science and Analytics Lead
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About Me!
About Me!
I am an Emerging Data Science and Analytics Lead dedicated to transforming complex data into meaningful insights that drive strategic decisions and elevate client experiences. My work sits at the intersection of Machine Learning/AI, analytics, project management and business strategy, where I design scalable data systems, lead analytical initiatives and translate data into clear, actionable narratives.
Currently, I work at ATB Financial as part of the Client Intelligence Analytics team, where I have built and deployed foundational data assets that power client experience reporting across the organization. My experience spans the full data science lifecycle — from structuring BigQuery datasets to conducting advanced statistical analyses in Python and developing interactive dashboards and presentations that bring insights to life. I take pride in creating visually aesthetic and effective data stories, self-serve analytics tools and documentation frameworks that make data more accessible, reproducible and transparent across teams.
Beyond technical execution, I am passionate about collaboration and enablement — partnering with business, product, and enablement teams to align analytics with strategic objectives. I approach every project with curiosity, empathy and a deep respect for the iterative nature of data-driven problem-solving.
Before joining ATB, I gained experience as a Data Management Intern at SiMPACT Strategy Group and as a Research Assistant at the University of Calgary, where I contributed to a healthcare-focused machine learning project exploring predictive modeling in patient outcomes.
I am continuously exploring how data science, mental health, and human-centered design can intersect to create technology that supports well-being and empowers people. My mission is to bridge data and human insight — helping organizations make smarter, more empathetic and evidence-based decisions.
Education
Education
Master of Science (Data Science and Analytics), 2022 – 2023
University of Calgary, Calgary, Alberta
Cumulative GPA: 3.9/4
Major Courses:
Data Visualizations, Statistical Analysis, Statistical Modelling, Machine Learning, Big Data Applications
Bachelor of Commerce (Business Analytics), 2016 – 2021
Haskayne School of Business, University of Calgary, Calgary, Alberta
Cumulative GPA: 3.5/4
Alberta Innovates Summer Research Studentship Award (2020), Jason Lang Scholarship (2020)
Major Courses:
Data Analytics, Enterprise Analysis, Project Management, Data Management, Predictive Modelling
Work Experience
Work Experience
Data Scientist - Client Mertics & Analytics, ATB Financial
Calgary, Alberta, Canada
May 2023 – Present
Strategic Data Leadership & End-to-End Analytics
Implemented two key enterprise data assets (Client Flows and Client Profile) by integrating multiple internal data sources through SQL and ETL pipelines in Google BigQuery, enabling unified, reliable reporting across business units.
Engineered a self-serve analytics capability for the Client Profile data asset that allows users to define their own client segments by month, automatically generating aggregated summary tables for quick insights.
Authored data dictionaries and documentation to ensure transparency, maintainability, and continuity.
Conducted advanced statistical and regression analyses in Python to uncover key drivers of client satisfaction, retention, and lifetime value across diverse business segments.
Analytics Strategy & Insight Generation
Led end-to-end analytics projects translating business objectives into data science approaches — from hypothesis formation and data extraction to statistical modeling and executive communication.
Conducted advanced analyses in Python (regression, clustering, exploratory modeling) to identify key drivers of client retention, satisfaction, and lifetime value across high-growth segments.
Collaborated cross-functionally with business, enablement, and product partners to align analytical insights with strategic priorities, ensuring consistent storytelling and impact at the leadership level.
Project Management & Process Improvement
Introduced a standardized project planning and documentation framework to enhance visibility, reproducibility, and stakeholder accountability across analytics projects.
Established clear processes for project scoping, sign-off, and tracking to improve alignment and communication between analytics and business teams.
Communication, Collaboration & Influence
Partnered with senior leaders to shape analytical priorities and present insights in accessible, business-focused language for non-technical audiences.
Delivered clear visual storytelling through presentations, translating technical outputs into actionable strategies for decision-makers.
Advocated for a culture of documentation, knowledge sharing, and process standardization to strengthen team efficiency and analytical maturity.
Analytical Strategy & Business Impact
Led exploratory and driver analyses combining survey, operational, and behavioral data to identify factors influencing client experience, informing recommendations for the Retail Banking and Business departments.
Collaborated with cross-functional stakeholders to translate analytical insights into actionable business strategies and communicate results effectively to technical and non-technical audiences.
Process Optimization & Data Governance
Authored detailed technical documentation, dataset glossaries, and process guides to ensure clarity, maintainability, and seamless onboarding for new team members.
Introduced a structured project planning and documentation framework to bring consistency, visibility, and repeatability to analytics projects across the team.
Technical Proficiency & Collaboration
Utilized SQL, Python (pandas, scikit-learn, statsmodels), and Tableau for exploratory data analysis, statistical modeling, and data visualization.
Worked closely with business, enablement, and CX teams to align data science initiatives with strategic objectives, ensuring insights directly informed operational and client experience improvements.
Associate, Infosys Limited
Calgary, Alberta, Canada
June 2021 – May 2023
Enhanced IT management and operational capabilities as a certified ServiceNow developer
Deepened knowledge of Agile methodologies, facilitating efficient project delivery
Completed Python training to support data manipulation needs within IT projects
Tested and verified functionalities of IT services, ensuring robust delivery against Agile use
Research Assistant, University of Calgary
Calgary, Alberta, Canada
June 2020 – Dec 2020
Cleaned and prepared over 600,000 healthcare-related data records to perform categorical predictions
Executed text mining tasks (i.e., Bag-of-words and Topic Modelling) and machine learning algorithms (i.e., Logistic Regression, k-NN, CART, SVM) using R programming
Performed exploratory analysis through visualizations using Tableau
Data Management Intern, SiMPACT Strategy Group
Calgary, Alberta, Canada
May 2019 – August 2019
Performed data pulls to create visualizations and charts for clients and presentations
Managed implementation of Salesforce by facilitating requirement discussions between internal cross-departmental team of five and external Salesforce development team of two
Created detailed internal user documentation for use of Salesforce as well as programming of an Excel based decision model
French, Math & Science Tutor, Tutor Doctor Inc.
Calgary, Alberta , Canada
September 2017 – September 2018
Provided one-on-one instruction for over four students aged between 6 and 15 years old
Prepared individualized lessons, strategies, and practice exercises for students
Summarized tutoring sessions in writing to inform parents, management team, and future tutors of students’ progress
Skills Summary
Skills Summary
General Skills
Data Visualization
Machine Learning/Artificial Intelligence
Data Preparation
Data Analysis
Statistical Analysis Technical Skills
Agile Methodologies
Spreadsheet Modelling
Project Management
Bilingual: Fluent English, Conversational French
Technical Skills
Programming Languages: R Programming, Python, SQL, Angular.js, JavaScript, HTML, VBA
Other Tools: Microsoft Office (including Visio, Project, and Access), Tableau, Power BI, ServiceNow APM, TSM & ITOM
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