Grace Jin
CFA
Mississauga
Summary
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.
Education
Master of Science - Statistics
McMaster University
Hamilton, ON 09.2011 - 07.2012
Bachelor of Commerce - Finance & Math
University of Toronto
Mississauga, ON 09.2007 - 06.2011
Skills
Programming Languages: Python, PySpark, SQL, R, SAS, VBA
Data Visualization: Matplotlib, Seaborn, Plotly, MicroStrategy, Tableau
Packages/Frameworks: Numpy, Scipy, Scikit-learn, XGBoost, Pandas, NLTK, Spacy, BERT, TensorFlow
AWS and Google Cloud Platform
Version Control: Git
Certification
Chartered Financial Analyst (CFA)
Timeline
Director of Advance Analtyics
Restaurant Brand International - Tim Hortons
08.2022 - Current
Senior Manager, Data Science
Loblaw Companies Limited
03.2021 - 08.2022
Manager, Customer Analytics & Optimization
Scotiabank
09.2018 - 03.2021
Business Solution Architect
Royal Bank of Canada
10.2017 - 09.2018
BI Developer
Loblaw Companies Limited
07.2015 - 10.2017
Data Scientist
Just Energy Corporation
09.2013 - 07.2015
Master of Science - Statistics
McMaster University
09.2011 - 07.2012
Bachelor of Commerce - Finance & Math
University of Toronto
09.2007 - 06.2011