Results-driven data leader with 11+ years of experience in Data Engineering, BI, Machine Learning, Business Analytics and Product Management in Retail, CPG, Banking and Energy industries. Skilled in customer hyper-personalization, and data democratization to support challenging business goals with a focus on Customers' Behaviors, Sales Transactions and Finance data. Adept at developing analytic teams, engaging in cross-functional collaborations, and navigating through ambiguity.
Overview
11
11
years of professional experience
5
5
years of post-secondary education
2
2
Certifications
Work History
Director of Advance Analtyics
Restaurant Brand International - Tim Hortons
08.2022 - Current
Spearhead a team of 20+ engineers, bifurcated into Data Engineering and Machine Learning sectors, focusing on the creation of robust data pipelines and management of a comprehensive company-wide data lake, enhancing analytics and BI capabilities across Tim Horton.
Lead groundbreaking initiatives in machine learning to revolutionize Tim Horton's loyalty programs through hyper-personalized offers, resulting in 23% incremental sales, and pioneered a personalized CRM strategy that elevated the click-through rate from 2.3% to 6.1% while minimizing unsubscribe rates to 0.6%.
Orchestrate the 2-year data democratization strategy and execution of Tim Horton’s advanced analytics framework, contributing to a culture of data-driven decision-making and enabling self-service analytics across the organization.
Manage and optimize a complex tech stack including Databricks, Snowflake, and AWS, aligning with with yearly cost reduction of 35% meanwhile ensure scalability and efficiency in data operations.
Collaborate closely with executive and cross-functional teams to identify opportunities, and articulate and implement a strategic vision for advanced analytics, significantly impacting business strategies and customer engagement outcomes.
Senior Manager, Data Science
Loblaw Companies Limited
03.2021 - 08.2022
Oversaw the Blue-Chip project for Finance Vendor Income at the corporate level to improve Lumpsum auditing efficiency by 80%.
Formulated end-to-end analytic solutions involving road mapping, architecture data pipelines, resource planning, and machine learning algorithm testing, with potential annual savings of $5 million.
Supervised Internal Audit Analytic Journey and collaborated with stakeholders to develop the most valuable data science initiatives showcasing strong project management skills.
Developed automatic Internal Audit process using Python based on NLP approaches, leading to the pilot raising audit coverage from 1% to 100%, resulting in a direct cost savings of 10%.
Managed the two data scientists and co-developed various NLP Text Classification models using Python in GCP Vertex and conducted research on Deep Learning BERT Implementation to improve model accuracy.
Coordinated cross-team initiatives with the project manager and business stakeholders and formulated business problems into Data Science projects.
Led a cross-team of data scientists in conducting exploratory data analysis to uncover quick insights and complete Microsoft license renewal project resulting in a direct savings of $500,000 within two weeks.
Manager, Customer Analytics & Optimization
Scotiabank
09.2018 - 03.2021
Created multiple churn analysis, activation analysis, cohort analysis, and purchase pattern analysis using Python and SAS and offering consultative meetings with product teams.
Revealed the insights of unprofitable accounts with potential savings of $300,000 on acquisition cost for the upcoming campaigns.
Led a team of two analysts to conduct multiple consumer segmentation projects based on varied business requirements, formulated RFM segmentation, and increased customer engagement rate by 1.5% for the Scotia Loyalty Program.
Developed targeted k-mean clustering models for customers involved in ongoing marketing campaigns.
Business Solution Architect
Royal Bank of Canada
10.2017 - 09.2018
Led a six-person agile team (DA and QA) and collaborated with the IT project manager to develop a product roadmap and sprint planning to guarantee on-time execution of business requirements
Developed a comprehensive architecture plan that included the ETL process to the end-user dashboarding design to achieve progress and operational success by 20%
Oversaw the product's credit risk reporting function as well as migrated and developed 10+ monthly risk reports using SAS and Teradata SQL for OSFI and stakeholders, boosting reporting efficiency by 40%
Offered continuous analytic support to risk teams by releasing deep-dive root cause analyses, portraying excellent communication skills.
BI Developer
Loblaw Companies Limited
07.2015 - 10.2017
Created end-to-end Finance Vendor Income solutions, from ETL processing through data engineering to MicroStrategy reporting for end-users resulting in retaining $450,000 in external consulting fees.
Led an offshore team of three data engineers and oversaw the development and maintenance of the solutions.
Created Time Series Abnormal Detection Model for vendor income promotion billings, which aided the pilot to collect $3 million in miss billing.
Designed 20+ enterprise-level dashboards with over 1000 weekly active users.
Data Scientist
Just Energy Corporation
09.2013 - 07.2015
Produced long-term and short-term electricity and gas usage forecasts and weekly variance analysis to support trading decisions using Microsoft SQL server.
Designed a short-term weather-sensitive multivariate regression model in R for forecasting smart meter user load in the short run resulting in 3% increased forecast accuracy.
Collaborated with senior data scientist for applying the latest neural network packages in R as continuous R&D project to improve model accuracy.