Python
Barton Man Ho Li
Aurora,Canada
Summary
A purpose-driven Data Scientist with deep analytical and quantitative expertise. Seeking to leverage data-driven insights to drive business improvement and optimize overall performance. Achievements include creating predictive models to with 10% more accuracy than previous models for projecting sales opportunities and forecasting trends. Achieved at least 20% sales improvement. Coming with strong programming and creative thinking skills to build complex predictive models, machine learning algorithms and data visualization.
Overview
5
5
years of professional experience
1
1
Certification
3
3
Languages
Work History
Data Science Associate
Windfall Ecology Centre
11.2021 - Current
- Analyzed data from 370000+ residential and commercial buildings data to segment marketing opportunities, boosting 50% sales within two years
- Redesigned existing Power BI dashboard for core environmental KPIs (e.g. Greenhouse Gas (GHG) emission and energy cost reduction), resulting 25% customer volume increment
- Employed gradient boosting and clustering algorithms to generate new predictive models, achieving 10% increase in accuracy and 12% error reduction
- Collaborated with engineers and software developers to deploy predicative models into production, resulting 40% GHG emission reduction improvement for Durham Region buildings
Senior Associate
Moore Hong Kong
02.2019 - 07.2021
- Utilized web scraping techniques for HKEX data analysis pipeline automation, reducing 30% manual processing time
- Designed monthly and semi-annual Tableau data visualizations of 56,000+ financial data to support executive decisions, leading 40% inbound leads increment
- Spearheaded the creation of logistic regression and decision tree predictive models to project valuation opportunities and forecast customer trends, achieving 20% valuation service sales increment
Education
Master of Science - Statistics
University of Toronto
BMath - Actuarial Science & Statistics
University of Waterloo
Skills
- Predictive Analytics
- Statistical Analysis
- Data Visualization and Communication
- Segmentation Modeling
- Python/RStudio/Julia
- SQL
- Tableau/ Power BI
- Excel/ Access
- Fabric/ Azure ML Studio
- AI & Automation
Certification
- DP-100: Designing and Implementing a Data Science Solution on Azure, Microsoft - May 2024
- Foundations of Machine Learning, JuliaAcademy- Mar 2024
- Julia for Data Science, JuliaAcademy- Jan 2024
- Complete Introduction to Microsoft Power BI, Udemy - Feb 2022
- Machine Learning A-Z™: AI, Python & R, Udemy- Feb 2022
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Work Preference
Work Type
Full TimeContract WorkLocation Preference
RemoteHybridImportant To Me
Career advancementWork-life balancePaid sick leavePaid time offTeam Building / Company RetreatsWork from home optionStock Options / Equity / Profit SharingPersonal development programsSoftware
RStudio
Excel
Tableau
Power BI
Azure ML Studio
Fabric
SQL
Timeline
Data Science Associate
Windfall Ecology Centre
11.2021 - Current
Senior Associate
Moore Hong Kong
02.2019 - 07.2021
Master of Science - Statistics
University of Toronto
BMath - Actuarial Science & Statistics
University of Waterloo