Pamela K. Email & Phone Number

Toronto, ON, CA

Toronto, Ontario, Canada

Greater Toronto Area, Canada

Leadership & Execution: Founded and developed CandidatePay.io, a web-based productivity platform targeting recruitment professionals and candidates in the technical skills domain. Product Management: Successfully launched rapid-deploy customized campaigns, personalized candidate portals, payments platform, and AI-enabled productivity products.Agile.

Christina Lake, British Columbia, Canada

The Big Effort Foundation is a non-profit that seeks to rally community and athletics toward maximizing fundraising potential and impact. We current manage and run The Big Effort Swim - Canada's Longest Open Water Lake Swim for charity, benefiting 5 local and national causes. www.bigeffortswim.com

Toronto, Ontario, Canada

Data Analytics and Reporting: Leveraged external data sources to extend analytics capabilities, enhancing the understanding of the web creation market. Developed analytical products, including reports and Tableau dashboards, to deliver actionable insights and facilitate data-driven decision-making. Utilized data modeling, data mining, and data enrichment.

Toronto, Canada Area

(1) Analytics lead on customer decisioning and strategies supporting varied omni-channel campaigns(2) Analytics lead on varied priority projects impacting the digital banking customer experience(3) Instructor on Global Analytics and Artificial Intelligence Platform (GAIP) @ Scotiabank(4) Business-side stakeholder in Digital Adoption & Engagement, Customer.

Ottawa, Canada Area

- Lead analyst, Corporations Returns Act Program (measures and indicators of foreign control in Canadian corporations)- Business intelligence analyst, Quarterly Survey of Financial Statements (QSFS program), big data analysis in SQL and Power BI- Team Lead, SAS Grid directory, onboarding, and training- Chair on Industrial Organization and Finance Division.

Ottawa, Ontario, Canada

Worked alongside directors for strategic direction and planning. Developed the only unanimously-approved strategic directive and tactical report for modernizing Statistics Canada’s talent acquisition strategy. Results include invitation to be a keystone presenter at a quarterly Senior Executive meeting where my work was unanimously approved by Senior.

Ottawa, Canada Area

• International Program Analyst (Co-op Analyst) – On PremiseInternational OperationsRoyal Canadian Mounted Police (Ottawa, Canada) 05/2015 - 01/2016
• Presented and mentored other teams across Statistics Canada to learn new skills and tools for modernizing the workforce
• Conducted and published the only research reports during my tenure serving the Division (see section Publications)
• Integrated automation using external and internal data. Developed fixed income valuation methodology and statistical programming to build a yield-calculating matrix with currency spreads supporting macroeconomic branch.
• Designed statistical processes, infrastructure and methodology to build financial equity databases.
• Compiled equity statistics by position, flow and income on a security-by-security basis including research and assessment of equities and fixed income securities.

National Headquarters

• Operations and intelligence analyst to management, conducting research and intelligence briefs for deployed personnel, including presenting and communicating findings across teams domestically and abroad (French /.
• Drafting annual reporting to government and memoranda to cabinet as required

Master Of Arts (M.A.), Economics

Activities and Societies: Union CUPE 3903Strong quantitative and analytical skills and knowledge in econometrics, time series.

Master Of International Affairs, 3.8

Subject expertise in foreign direct investment and MNEs, business internationalization, global markets, macroeconomics, bargaining and.

Bachelor Of Science (Bsc), Economics (Honours)

Activities and Societies: Varsity Rugby

Data Science And Big Data Analytics Certificate, Mathematics And Computer Science, 93%

Apply data science techniques to the organization’s data management challenges. Identify and avoid common pitfalls in big data analytics..