With a background spanning data science, AI, and low-code enterprise development, I have built end-to-end analytical and automation solutions across both public and private sectors. My experience includes developing machine learning pipelines in Azure Machine Learning, creating predictive models with Python, Scikit-Learn, and PyTorch, and deploying them to deliver measurable business insights. I have also led the design of Power BI dashboards and Power Platform applications, integrating Dynamics 365, Power Apps, and Power Automate to streamline workflows and visualize complex data in real time. What sets me apart is the combination of technical depth and strategic perspective: I bridge data science with operational systems to build scalable, maintainable, and impactful solutions that align with organizational goals. My work consistently focuses on turning data into actionable intelligence and driving innovation through both advanced analytics and human-centered design.

Quynh Bui

With a background spanning data science, AI, and low-code enterprise development, I have built end-to-end analytical and automation solutions across both public and private sectors. My experience includes developing machine learning pipelines in Azure Machine Learning, creating predictive models with Python, Scikit-Learn, and PyTorch, and deploying them to deliver measurable business insights. I have also led the design of Power BI dashboards and Power Platform applications, integrating Dynamics 365, Power Apps, and Power Automate to streamline workflows and visualize complex data in real time. What sets me apart is the combination of technical depth and strategic perspective: I bridge data science with operational systems to build scalable, maintainable, and impactful solutions that align with organizational goals. My work consistently focuses on turning data into actionable intelligence and driving innovation through both advanced analytics and human-centered design.

Available to hire

With a background spanning data science, AI, and low-code enterprise development, I have built end-to-end analytical and automation solutions across both public and private sectors. My experience includes developing machine learning pipelines in Azure Machine Learning, creating predictive models with Python, Scikit-Learn, and PyTorch, and deploying them to deliver measurable business insights. I have also led the design of Power BI dashboards and Power Platform applications, integrating Dynamics 365, Power Apps, and Power Automate to streamline workflows and visualize complex data in real time. What sets me apart is the combination of technical depth and strategic perspective: I bridge data science with operational systems to build scalable, maintainable, and impactful solutions that align with organizational goals. My work consistently focuses on turning data into actionable intelligence and driving innovation through both advanced analytics and human-centered design.

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Language

English
Fluent

Work Experience

Data Analyst at Financial Consumer Agency of Canada (FCAC), Government of Canada
January 1, 2023 - November 12, 2025
Developed and maintained Power BI dashboards for senior management, enabling real-time monitoring of complaint volumes, resolution rates, complaint-handling processes, and institution-specific trends. Led advanced text mining and NLP projects using Python (scikit-learn, BERTopic, LLMs) and Azure Machine Learning to analyze complaint narratives and identify recurring themes, such as mortgage affordability, fraud/scams, service disruptions, and hidden fees. Collaborated with IMIT teams to improve data ingestion pipelines, optimize processing workflows, and integrate outputs into enterprise reporting systems. Designed and implemented a multi-dimensional risk scorecard leveraging Power BI and Azure ML Designer to evaluate regulated entities based on inherent risk, compliance performance, and external exposure factors (e.g., market presence, consumer sentiment index). Enabled early risk detection and assisted in resources planning. Contributed to the development and enhancement of the Risk
Data Analyst at Financial Transactions and Reports Analysis Centre of Canada (FINTRAC)
January 1, 2023 - January 1, 2023
Led the refinement of compliance risk assessment model across regulated sectors — including financial institutions, MSBs, accountants, real estate, DPMS, and insurers — using IBM SPSS Modeler. Applied statistical methods to regulatory filings and internal datasets to flag anomalies and outliers, enabling risk-based prioritization of supervisory activities and targeted compliance reviews. Analyzed structured and unstructured reports using SQL, Python to support intelligence requests and enhance detection of money laundering and terrorist financing risks. Supported analysts through tagger models and generated insights on typologies such as real estate laundering, cash structuring, and human trafficking, using data from STRs, LCTRs, LVCTRs, and EFTs.
HR Analytics Advisor at Hydro Ottawa Limited
January 1, 2021 - January 1, 2021
Developed a seasonality-based forecasting model using Excel functions and VBA to predict sick leave patterns, improving attendance management and staffing allocations during peak periods. Analyzed HR and Payroll data to support strategic workforce planning, uncovering trends in hiring, training, turnover, and employee demographics to inform leadership decisions and support office reallocation planning. Performed in-depth analysis to support short- and long-term workforce planning, identifying patterns that informed staffing, succession, and resource deployment decisions.

Education

Master’s in Management, Specialization in Project Management at University of Illinois Urbana-Champaign
January 1, 2023 - November 12, 2025
Bachelor of Science, Specialization in Statistics at University of Ottawa
January 1, 2014 - January 1, 2019

Qualifications

Microsoft Certified: Azure Data Scientist Associate (DP-100)
January 11, 2030 - November 12, 2025
Machine Learning Certificate, Stanford University
January 11, 2030 - November 12, 2025

Industry Experience

Financial Services, Government, Energy & Utilities