Frank Lu
Business Intelligence Specialist Operations Analytics & Insights @Sobeys
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WORK HISTORY
Business Intelligence Specialist Operations Analytics & Insights @Sobeys
Analytics Engineering
EDUCATION
Beijing Language and Culture University
Bachelor's degree, International Relations and Affairs
Smith School of Business at Queen's University
MMA, Management Analytics
Smith School of Business at Queen's University
Advanced Management Analytics , MLOps: Success Beyond Experimentation
ABOUT FRANK LU
Data is crucial for business development and management but is often underutilized. I am a data analytics professional with outstanding skills in data engineering and data science. My passion is to help organizations make the most of their data through efficient data preparation, statistical modeling, and evaluation. My extensive professional experience and strong business acumen enable me to connect data with business context to implement a tailored data-driven approach. Projects:Diamond Price Prediction Competition • Won 1st place among 14 teams by making the most accurate prediction on diamonds\' price, with a regularized linear regression model• Enable customers to avoid paying an unreasonable premium by utilizing the model\'s prediction as a referenceMachine Learning Cup • Achieved 1st place of 149 classmates in predicting diabetes on a heavily imbalanced dataset• Enhanced accuracy of prediction by 30% from benchmark model via conducting a comprehensive exploratory data analysis and applying multiple feature engineering techniquesAmazon Reviews Text Classification Project • Engineered the 1st place classification model of 8 teams to predict helpful Amazon reviews using PySpark and text analytics techniques such as Latent Dirichlet Allocation topic modeling and word vectorization on Azure Databrick PlatformI have finished 50+ MOOCs, and I love spending my free time building models and practicing what I learned. Bringing this energy and learning mindset to my work, I thrive on challenges as a problem solver. My curiosity and discipline are my biggest strength in keeping up with the fast-changing data science landscape. I\'m constantly looking for challenges and opportunities to apply my knowledge and turn data into insights. Skills:• Coding: R, Python, SQL• Tools: Tableau, Databricks, MLflow, Apache Spark, Bash, Airflow, AWS, SSMS, Azure, Hadoop, BigQuery• Data Science Packages: Pandas, Numpy, Scikit-Learn, PyCaret, PySpark, Seaborn, Matplotlib• Training: IBM Data Science Professional, Databricks Data Scientist Pathway
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