About Me

I bring hands-on experience with machine learning, and cloud technologies to solve complex business problems. I define and execute enterprise-aligned data strategies that drive operational efficiency, enhance customer experience, and improve decision-making. I excel at translating complex technical concepts into actionable business insights, fostering alignment across stakeholders at all levels. My experience spans GCP tools (BigQuery, Vertex AI, Composer, Workstations), with transferable expertise to other cloud services (AWS, Azure).

Hi! ¡Hola! Salut!

I am a Senior Manager in Risk Technology at Scotiabank, where I have delivered impactful solutions within cloud migration and data-driven decision making initiatives, and built credit risk models across a $12B portfolio. My expertise spans retail credit risk modelling, Python, GCP, MLOps, and data strategy. Recently, I have been experimenting with Generative AI to explore new ways of delivering insights and enhancing decision-making.

I am also a passionate community builder. As City Lead for Women in AI Canada (London & Southwestern Ontario), I create spaces where ambition and belonging thrive.

Additionally, I hold a PhD in Chemical Engineering at Western University with a strong focus on Mathematical Modelling and Machine Learning applications. During my free time, you will find me taking pictures and learning from the members of London Camera Club. You can see some of my pictures here.

My Power Skills

Collaboration & Relationship Building
Data Strategy & Cloud Migration
Leadership
Communication & Public Speaking
Strategic Thinking
Problem Solving
Analytical, Conceptual & Critical Thinking
People Management

My Toolkit

Programming & Tools: Python (pandas, scikit-learn, numpy, Scikit-learn, Matplotlib), SQL, SAS, Git
Math, Statistics & Machine Learning: Linear and non-linear regression, decision trees, classification, ANN, segmentation, model monitoring, scorecards, experimental design, response surface methodology, optimization, among others
Cloud & Data Engineering: GCP, BigQuery, DBT, Airflow, REST APIs, CI/CD
Other computational tools: Matlab, Statgraphics

My Hobbies

Photography, ice skating, gardening, travelling, computer programming, dog training.

My Work Experience

Senior Manager, Risk Technology, Global Risk Management (Feb 2026 - Present) at Scotiabank
Senior Manager at GRM Rotation Program (Mar 2024 - Feb 2026)
- Data Strategy & Risk Technology - (Sep 2025 - Feb 2026)
- Data Strategy & Analytics, Canadian Contact Center (Serving as Data Product Owner) - (Dec 2024 - Aug 2025)
- Global Analytics Engineering, Customer Insights, Data & Analytics (CIDA( - (Mar 2024 - Nov 2024)
Data Science Senior Manager, Decisioning Models, GRM (Nov 2021 - Mar 2024)
Model Operations Senior Manager, GRM (Mar 2021 – Nov 2021)

My PhD Research

I collaborated as part of a four-person team supporting a Canadian oil and gas company in identifying opportunities for process optimization. Our goal was to increase the economic revenue of their process. My main responsibility was mathematical modelling and data analysis of experimental data. I applied machine learning techniques to predict phase behavior of complex oil and gas mixtures.

My Consulting Projects

Lead Developer (Oct 2020 - Mar 2021): I was the lead developer of a WebApp for a local bus sc hool company. I developed the backend of a web-based application that help them track the recruiting/training process more efficiently. For that I used different tools, such as HTML, CSS, JQuery, MySQL and Python (Flask).

My Volunteer Experience

City Lead for London & SWO Chapter at Women in AI (Mar 2025 - Present)
Lead for the Group Mentorship Program at Women in Leadership Employee Resource Group at Scotiabank (Feb 2022 - Present)
Mentor for Northwest London Resource Centre (2024), Rotman Business Analytics Club (2024), Hispanotech (2022, 2023, 2024), ElleHacks (2023)
Committee member for TMLS Women (2023)
Chapter Coordinator at Canada Learning Code (Aug 2019 - Oct 2021)

My Previous Awards & Competitions

Scotiabank:

2025 - Finalists of CIDA's Hackathon at Scotiabank - AI Agents (Sep 2025).
2022 - Best of the Best: Culture Catalyst Award.

Microsoft Competitions:

2020 - Winners of 6th Sprint - Microsoft AI Discover Upskilling Challenge (May - Aug 2020).
2020 - Top 3 - 2020 Microsoft Discover AI Challenge: Smarter and Sustainable Economies (Feb - May 2020).

My Publications

I have published my research in different journals

2023 - Artificial Neural Networks (ANNs) for Vapour-Liquid-Liquid Equilibrium (VLLE) Predictions in N-Octane/Water Blends
Application of Artificial Neural Networks (ANNs) to predict phase behavior of n-octane/water blends
2022 - A Machine Learning Approach for Phase-Split Calculations in n-Octane/Water and PASN/Water Systems
Application of Machine Learning (linear regression, KNN, SVM, and decision tree regressor (DTR)) to predict phase behavior of n-octane/water and PASN/water blends
2021 - Vapour–liquid–liquid and vapour–liquid equilibrium of paraffinic aromatic synthetic naphtha/water blends: Prediction of the number of phases
Application of thermodynamic models (NRTL, UNIQUAC, and PC-SAFT) and Machine Learning (KNN, SVM) to predict phase behavior of PASN/water blends. Student's t-test was used to was employed to statistically differentiate experimental results between two-phase and three-phase regions.
2021 - Thermodynamics and Machine Learning Based Approaches for Vapor–Liquid–Liquid Phase Equilibria in n-Octane/Water, as a Naphtha–Water Surrogate in Water Blends
Application of machine learning (logistic regression, decision tree, k-neighbors, and support vector classification) to predict phase behavior of n-octane/water blends
2020 - A Mid-Infrared Region (MIR) lumped Group Contribution based method for monitoring light gases and gasolines in Fluid Catalytic Cracking
Application of nonlinear multivariable minimization to MIR signals
2018 - Monitoring the progress of catalytic cracking for model compounds in the mid-infrared (MIR) 3200–2800 cm⁻¹ range
Data analysis of MIR spectroscopy signals to predict light absorption coefficient
2015 - Stability criteria and critical runway conditions of propylene glycol manufacture in a continuous stirred tank reactor
Parametric sensitivity analysis for the analysis of a steady state and safety operational conditions
2015 - Transition metal loaded TiO2 for phenol photo-degradation
Application of experimental design to phenolic wastewaters treatment with TiO₂
2014 - Phenol Photo-Degradation over TiO2 and Mo/TiO2 Catalysts. The Response Surface Methodology as Optimization Tool
Optimization of experimental conditions using experimental design and Response Surface Methodology (RSM)
2013 - Pervaporation membrane reactor design guidelines for the production of methyl acetate
Parametric sensitivity analysis to determine limits of operation in a pervaporation membrane reactor