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Kai-Hsun Wang

As a Sr. Strategy and Data Analyst, Kai-Hsun focuses on the sales forecast and developing the data strategy at Giant Group, recognized as the world's largest bicycle manufacturer.

Kai-Hsun is an experienced data strategist with a demonstrated history of helping businesses make data-driven decisions in finance, insurance, and manufacturing. Kai-Hsun is a team player who passionate about using data to solve real-life problems and look forward to making a difference.

Data Strategist
Taipei,TW
[email protected]

Skills

R、Shiny、Python、Tableau、SQL、Google Cloud Platform、Google Data Studio、PowerPoint、Excel、Word

Work Experience

Giant Group, Taiwan

Sr. Strategy and Data AnalystJuly 2021 ~ Present

  • Built data pipeline with Python to automate the process of retrieving data from multiple sources, and subsequently transform and display insights in Tableau to support C-suite executives’ business and operational decision

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WPG Holdings, Taiwan

Data Scientist - Analytics and Strategy, May 2020 ~ July 2021

  • Drives the continuous improvement, identification and implementation of best practices to drive productivity, streamline opportunities, eliminate non-value added services and control costs through the development/use of metrics around efficiency and reliability 
  •  Offer interpretation of analytical findings and recommend solutions relative to the strategic objectives 
  •  Leverage advanced analytics to visualize and communicate results for use by the organization

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Daimler Trucks Asia, Japan

Data Analyst, Aug 2018 ~ Apr 2020

  • International Sales Database Integration Project: Collaborated with IT team and Regional Managers to redesign the market data structure and user interface
  • Provided monthly sales forecast with R and presented scenario analysis report to top management
  • Developed new metrics and data visualization with MS Access, R and Tableau to automate the process of retrieving data from multiple sources, and subsequently transform and display insights in dashboards to support senior executives’ business and operational decisions
  • Designed and developed data pre-processing apps with R and Shiny to reduce spreadsheet consolidation and pre-processing time by 95% and increase the data accuracy in Specs & Parts system

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Life Insurance Marketing and Research Association, USA

Capstone Data Analyst, Jan 2018 ~ Apr 2018

  • Developed machine learning models with R and SAS to identify factors affecting agent attrition
  • Designed data visualization dashboards to present data insights and recommendations to LIMRA to improve agent retention rate and develop marketing strategy
  • 1st prize in 2018 Spring LIMRA Capstone Project

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Menefee Associates Consulting, LLC, USA

Business Development / Data Analyst Intern, Dec 2017 ~ Apr 2018

  • Designed social reward system to increase customers engagement and improve user experience for company online platform
  • Built a business intelligence dashboard for clients to understand their operational and business performance metrics to help clients make business decisions
  • Created a financial planning model to help client project business revenues for new service model
  • Conducted industry and market analysis to support development of client business plan for client business expansion

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CTBC Financial Holding Co., Ltd., Taiwan

Corporate Finance Intern, Jul 2014 ~ Sep 2014

  • Led 2 industry research efforts to improve business analysis to support senior executives’ business and operational decisions
  • Prepared and presented monthly credit evaluation reports to Senior VPs and Relationship Managers

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ASUSTeK Computer Inc., Taiwan

Sales and Marketing Leadership Program , Jul 2013 ~ Mar 2014

  • Analyzed and created 9 monthly market research reports on consumers and latest products in the electronics market
  • Collected and analyzed monthly sales data for market and customer preference

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Education

The University of Connecticut, USA 

MS in Business Analytics and Project Management, 2017 ~ 2018 

  • Semi-Finalist - 2017 Travelers Model Case Competition 
  • Capstone Project: LIMRA - Agent Production and Retention Study

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National Central University, Taiwan 

BBA in Finance & Business Intelligence and Analytics, 2012 ~ 2015

  • National Central University Excellent Student Scholarship
  • Teaching Assistant - SAS Enterprise Guide 

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Projects

Overseas Market Data Integration, Sep 2019 ~ Mar 2020 

Collaborated with IT team and Regional Managers to redesign the market data structure and the user interface; Optimized the current business flow to provide more accurate sales forecast (e.g., Sales, Order Intake, Retail, and Share of Market)

Specs & Parts Costing Consolidation System, May 2019 ~ Aug 2019 

Designed and developed apps with R and Shiny to reduce spreadsheet consolidation time and data. processing time by 95% and increase the data accuracy in Specs & Parts costing system.

Insurance Agent Workforce Analytics, Jan 2018 ~ Apr 2018

Used SAS Enterprise Miner to implement XGBoost model to predict insurance agent retention.
Used Tableau to create data visualization dashboards to present scenario analysis and recommendations to LIMRA to improve agent retention rate and develop marketing strategy.


Leadership

Founder & President in NCU Finance Alumni & Career Association 

  • Led a group of 15 members, organized 4 financial forums, and hosted 2 alumni reunions
  • Coordinated with Cathay Securities Investment Trust to initiate an internship for students of the School of Management at NCU
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Creative Director/ Executive Producer in TEDxNCU

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