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Timothy Liang

Timothy Liang

Market Research Data Analyst

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location of Timothy LiangToronto, Ontario, Canada

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  • Timeline

  • About me

    Senior Manager, Data Analytics at RBC T&O Finance

  • Education

    • The University of Texas at Austin

      2014 - 2015
      Master's Degree Economics 3.4

      - Consumer and firm theories: understanding relationships among price, quantities of production, firm profits- Industrial Organization, including pricing strategy, competition strategy under different market conditions, M&A decision - Statistical Models: OLS (WLS, etc.), Panel Data, Time Series, and so on; Experimental and Quasi-Experimental Methods (randomized experiments (A/B test), controlled experiments, etc.); Solving data issues

    • Worcester Polytechnic Institute

      2012 - 2014
      Master's Degree Marketing 3.6

      Activities and Societies: WMBA WPI Chapter; AMA WPI Chapter - Case-study and project-based curriculum- Volunteer in CultureAdapt as a market analyst - Study market analysis models (five-force, 4Ps etc.) and practice using them in a simulation- Develop IMC plan, or marketing plan incorporated with actual business plans- Work in project groups to task any encountered projects

  • Experience

    • Cambia Information Group

      Oct 2015 - Jun 2016
      Market Research Data Analyst

      - Manipulate data set for advanced analyses, techniques including classification, multiple imputation, and stacking data set by categories;- Perform advanced analyses: correlation, multivariate regression, decision tree analysis etc. to find meaningful insights related to brand health, price perception, and marketing campaign performance;- Prepare reports, including charting, running ad-hoc data request; help create proprietary dash-boarding system;- Program in SPSS andPython

    • Radius Global Market Research

      Sept 2016 - Aug 2017
      Project Managment

    • HealthCom Data

      Aug 2017 - Apr 2018
      Senior Data Analyst

      - Manage health care insurance data and provide procedure to protect patients’ confidential information- Create fraudulent case detection model with national social insurance database to identify characteristics of unwanted insurance claims, logistic regression model to yield possibility of a case being a fraud; - Based on past and current claims, create a predictive model to project future budget for the national insurance scheme and create claimant personas for various provinces and regions;- Utilize Tableau to visualize data and analysis result and present them to clients and senior management Show less

    • BMO Financial Group

      Jun 2019 - Jun 2022
      Data Specialist

      Group Retirement Solution - BMO Insurance - specialize in data management, manipulation,and analysis

    • RBC

      Jul 2022 - now

      - Design database and data structure- Develop and deploy data pipeline and other automation projects - Tools: Python, SQL, Dagster (pipeline orchestration), Windows Server, Django, HTML and JS

      • Senior Manager T&O Finance Data and Analytics

        Jun 2024 - now

      • Manager, Capital Market Finance Data Strategy

        Jul 2022 - Jun 2024

  • Licenses & Certifications