Edward Sze
Senior Manager, Market Insights at Bell
Based in Richmond Hill, Canada
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Seniority
Manager
Department
General Business & Management
Location
Richmond Hill
Industry
Telecommunications
Company size
34K
Contact information
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e•••••••@letstalk.bell.ca
Phone
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Background
About Edward Sze
Passionate with a growth mindset, ten years experience within the food industry and five years within telecommunication through various business functions - combining eight years specializing within pricing data analytics to highlight the benefits of data driven solutions through information systems and decision support systems. Certified with the Management of Enterprise Data Analytics from the University of Toronto School of Continuing Studies and Machine Learning from Stanford University. With the obsession to learn and apply - heavy interests fall within behavioural psychology focused on adapting customer and business needs to optimize favourable results for growth. Focused on three major sections: understanding/exploring data, teasing analytics into insights, and communicating the findings for implementation. Utilizing my broad understanding in the food, retail and telecommunication industry to optimize processes and results using methods with predictive analytics. Strong communication skills to bridge foreign topics into layman terms. • 10+ Years Data Analytics: Process & Quality Improvement, ETL, Reporting, Data Driven Strategy, Implementation • 10+ Years Excel: INDEX, MATCH, VLOOKUP, Queries & Connections, Pivot Tables, Goal Seek, Solver • 10+ Years VBA/Macro: Automation, Buttons, Sub/Functions, Loops/For/While • 10+ Years MicroStrategy/Tableau/PowerBI: Data Visualization, Dashboards, Reports • 10+ Years SQL/Access/Database Management: Import/Export, Select/As/From/Joins, Views/Subsystems • 8+ Years Pricing: Strategy, Revenue Optimization, Dynamic Pricing Models, Competitive Analysis, Margin Optimization • 8+ Years Forecasting/Budgeting/Modelling: Scenario Planning, Time Series, ARIMA, MARS, Process simulation • 5+ Years Data Science Tools/Techniques: Python, R, AWS ML Services, WEKA, Decision Trees, Supervised/Unsupervised, KNN • 5 Years GIS/Remote Sensing Tools: ArcGIS, ERDAS Imagine, QGIS, Grass GIS, USGS Data, Clustering
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