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東吳大學
Avatar of Chun Yu, Ko.
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Deputy Data Team Lead @ALFRED SYSTEMS INC.
2022 ~ Present
數據分析師、資料科學家
Within six months
bringing innovation and value. I am confident that through teamwork and innovative thinking, we can collectively face challenges and drive sustained business growth and success. SKIILS A/B Testing, North Star Metric, Data Context, Metrics Design, User Journey, Data Studio, Dashboard, Visualization, SQL, Python, R, Text Mining, NLP, Funnel Analysis, Study Design, Natural Experiment, Causal Inference, Case-Control Study, Cohort Study, Potential Outcome Framework, Causal Discovery, Growth Strategy/Framework, Survey Design/Analysis, Thoughtful Execution Framework, Communication, Workshop Taipei, Taiwan ([email protected] https://github.com/
R
Python
BigQuery
Employed
Full-time / Interested in working remotely
6-10 years
東吳大學
資料科學

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within six months
Deputy Data Team Lead
Logo of ALFRED SYSTEMS INC..
ALFRED SYSTEMS INC.
2022 ~ Present
New Taipei City, 台灣
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Scientist, Information Analyst, Data Analyst
Fields of Employment
Internet of Things (IoT), Mobile Apps, Software
Work experience
6-10 years
Management
I've had experience in managing 1-5 people
Skills
R
Python
BigQuery
Data Science
Data Analysis
Business Intelligence
Data Driven
Languages
English
Fluent
Chinese
Native or Bilingual
Job search preferences
Positions
數據分析師、資料科學家
Job types
Full-time
Locations
台灣台北市, 台灣新北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
東吳大學
Major
資料科學
Print

Chun Yu, Ko

Data Scientist, Data Team Lead

As a data scientist with over 8 years of experience and a leader of a data team, I have consistently applied scientific methods to optimize and standardize the business decision-making process. My pursuit extends beyond the identity of a data scientist; I am a professional dedicated to exploring knowledge and creating shared value for business.

Over the past four years, starting from business analytics, statistics, machine learning modeling, to causal inference, I have successfully built a framework suitable for continuous iteration. I firmly believe that teamwork and passion are key to allowing team members to fully realize their potential in a harmonious environment. Equally important to achieving team goals, as a leader, I hold the responsibility to promote the professional development of team members and take pride in their growth.

Throughout my career, I have proven my exceptional skills in project management, team leadership, and cross-departmental communication. The data team I lead has made significant contributions to driving business growth and process optimization, playing a crucial role in utilizing data-driven decision-making. I am passionate about uncovering the stories behind data and transforming them into strategies that boost business efficacy.

I look forward to demonstrating my leadership talents in an environment filled with challenges and opportunities, and to contribute my extensive expertise in causal analysis and data-driven decision-making to your company, bringing innovation and value. I am confident that through teamwork and innovative thinking, we can collectively face challenges and drive sustained business growth and success.

SKIILS

A/B Testing, North Star Metric, Data Context, Metrics Design, User Journey, Data Studio, Dashboard, Visualization, SQL, Python, R, Text Mining, NLP, Funnel Analysis, Study Design, Natural Experiment, Causal Inference, Case-Control Study, Cohort Study, Potential Outcome Framework, Causal Discovery, Growth Strategy/Framework, Survey Design/Analysis, Thoughtful Execution Framework, Communication, Workshop

WORK EXPERIENCE



Deputy Data Team Lead

Alfred Systems Inc.

2022 - Present
Taipei, Taiwan (ROC)

Alfred Camera enables users worldwide to transform old smartphones into surveillance cameras and also launched hardware product since 2022. Its primary user base is located in North America, particularly in California.

  • Innovative Hardware and Monetization Strategy: Utilized the Encourage Program for validating key hardware and monetization strategies without direct A/B Testing, identifying core elements for sales and subscription models.
  • Collaborative Data-Driven Product Strategy: Formulated product iteration strategies with the CEO and PMs, ensuring outcome quality through training and reviews, and held meetings and workshops for deep data analysis, aligning closely with company goals.
  • Qualitative Data Integration in Analysis: Employed text embedding and Propensity Score Matching for natural experiments on user satisfaction and subscription intent, leading to insights for adjusting the paywall strategy.
  • User Feedback Topic Model Development: Created a Topic Model to efficiently capture and understand evolving user feedback, enhancing customer needs and experience insights.

Data Analyst

Alfred Systems Inc.

2020 - 2022
Taipei, Taiwan (ROC)

  • North Star Metrics & Data Context: In collaboration with the Product Director, established critical business metrics, built a data warehouse, and implemented multi-source ETL, using tools like Airflow and dbt. Focused on user behavior tracking and data-driven decision-making, supplemented by user feedback collected through surveys and interviews.
  • A/B Testing for Subscription Pricing: Conducted detailed, multi-centric A/B testing to optimize global subscription pricing, balancing profitability with subscription rates. Improved user journey and onboarding processes by minimizing unnecessary page transitions and highlighting core functionalities.
  • User Persona Development: Integrated survey and market research with user data to define user Personas, shifting the company's focus beyond Home Security. Collaborated with marketing and design teams to align product voice and tone with diverse user needs.

Data Analyst

ICS Game Tech.

2019 - 2020
Taipei, Taiwan (ROC)

ICS Game Tech is a company that assists in developing gaming platforms in China.
  • Performance Reporting to Executive Leadership: Executed product and platform performance reporting, presenting findings to the CCO. CMO, CTO. 
  • Designing Data Tracking Initiatives: Developed data tracking plans, utilizing Google Tag Manager, Google Analytics, and Matomo for conducting A/B testing on user behavior studies.
  • Systematic Review of Campaign Effectiveness: Conducted systematic reviews of campaign performance, defining three distinct types of market activities and user engagement methods, tailored to varying objectives.

Freelancer

Self employed

2017 - 2019
Taiwan (ROC)

  • Heading Law First & FDA, Taiwan: I authored comprehensive reports on food safety risks and import goods, analyzing and highlighting flaws in current sampling methods.
  • CommonWealth Magazine Group (Taiwan's Most Popular Magazine): Automated routine reports using SAS Macros and developed dashboards with Google Data Studio. Conducted a Data Studio teaching session and analyzed CRM data to enhance EDM outreach strategies.
  • Dannee Silk Project (Silk Product Retail Industry): Utilized R and RStudio for statistical modeling of sales data across 35 stores in Taiwan. Collaborated with sales representatives to boost sales efficiency, employed Association Rules for product combination analysis, and used multifactorial regression models and RFM modeling to understand SMS campaigns' impact and customer demographics.
  • WINS. Global and High Gate Corp.: Managed international transportation of artworks, focusing on organizing historical data and Salesforce platform development, gaining insights into ERP systems and logistics.
  • National Taiwan University: Conducted field surveys in Hualien for research projects, focusing on duck farming and avian influenza awareness studies.

Research Assistant

Chung Yuan Christian University

2015 - 2017
Taoyuan, Taiwan

Temporarily deferred studies in my senior year in college due to a keen interest in research, joining the Environmental Health Risk Research Laboratory at CYCU.
  • Participated in climate change and air pollution impact studies on vulnerable groups.
  • Developed skills in ArcGIS, SAS, and R; engaged in extensive scientific literature review.
  • Contributed to National Science Council-funded projects and co-authored an international journal article.
  • Presented research findings at conferences in Taiwan and Japan.

Summer Intern, 2014

Jenkinson's South

2014
New Jersey, United States

Participated in the Work and Travel Program, briefly working at a Bar & Grill in Point Pleasant Beach.

EDUCATION



In-service Master Program of Data Science

Soochow University

2022 - Present
Taipei, Taiwan

I continuously learn with new methods at work, but I believe it's important to create an environment for ongoing learning outside of work as well. Therefore, I chose to enroll in a in-service master's program. This has provided me the opportunity to interact with professionals from various fields, gaining diverse perspectives on data science, and allowing me to delve deeper into data science in my spare time.

Bachelor's Degree in Bio-environmental Engineering 

Chung Yuan Christian University

2012 - 2015
Taipei, Taiwan

I did not complete my degree. At the beginning of my senior year, I came across a research project on AED (Automated External Defibrillator) geographic location studies being conducted in a laboratory. At that time, I decided to temporarily pause my studies, but joined the same university as a Research Assistant to pursue research that interested me.

PUBLICATION & CONFERENCE


"Statistical Analysis of Imported Food Inspection Frequency, 2017-2019." Taiwan Food and Drug Administration in collaboration with Heading Law Firm.

This study focused on analyzing the frequency of border inspections for imported foods between 2017 and 2019. The research entailed a comprehensive investigation into the food safety risks associated with various types of imported foods, and it critically examined and highlighted flaws in the existing sampling methods, as documented in the reports.
Project Information https://www.grb.gov.tw/search/planDetail?id=12625651

"Pre-existing Comorbidity Modify Emergency Room Visit for Out-of-Hospital Cardiac Arrest in Association with Ambient Environments." PLoS One, September 26, 2018.

This study explores the risk of emergency room visits for cardiovascular or related diseases during cold spells and heatwaves, using a two-stage model (non-linear delayed model) and Meta Regression to explain the associated risks.
Online Article https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204593

"Ambient Environment and Non-Traumatic Cardiac Arrest in Taiwan." Presented at the International Conference on Combustion, Incineration/Pyrolysis, Emission, and Climate Change, September 21, 2016.

This study examines the non-causal relationship between air pollution, extreme weather conditions, and non-traumatic cardiac arrest in urban areas of Taiwan, highlighting the delay times associated with these events.
Attendance Record https://epsehost.env.kyoto-u.ac.jp/i-cipec2016/index.html

"Dengue Fever Epidemic Delay Time and Transmission Distance Analysis in Kaohsiung City." Presented at the Joint Annual Meeting of Public Health, October 16, 2016.

Utilizing the Distributed Lag Non-linear Model (DLNM), this research investigates the temporal and spatial distribution of dengue fever transmission following the outbreak, as well as the potential non-linear relationships impacting its spread.
Attendance Record 
https://www.publichealth.org.tw/upload/files/2016Program0929.pdf

Resume
Profile

Chun Yu, Ko

Data Scientist, Data Team Lead

As a data scientist with over 8 years of experience and a leader of a data team, I have consistently applied scientific methods to optimize and standardize the business decision-making process. My pursuit extends beyond the identity of a data scientist; I am a professional dedicated to exploring knowledge and creating shared value for business.

Over the past four years, starting from business analytics, statistics, machine learning modeling, to causal inference, I have successfully built a framework suitable for continuous iteration. I firmly believe that teamwork and passion are key to allowing team members to fully realize their potential in a harmonious environment. Equally important to achieving team goals, as a leader, I hold the responsibility to promote the professional development of team members and take pride in their growth.

Throughout my career, I have proven my exceptional skills in project management, team leadership, and cross-departmental communication. The data team I lead has made significant contributions to driving business growth and process optimization, playing a crucial role in utilizing data-driven decision-making. I am passionate about uncovering the stories behind data and transforming them into strategies that boost business efficacy.

I look forward to demonstrating my leadership talents in an environment filled with challenges and opportunities, and to contribute my extensive expertise in causal analysis and data-driven decision-making to your company, bringing innovation and value. I am confident that through teamwork and innovative thinking, we can collectively face challenges and drive sustained business growth and success.

SKIILS

A/B Testing, North Star Metric, Data Context, Metrics Design, User Journey, Data Studio, Dashboard, Visualization, SQL, Python, R, Text Mining, NLP, Funnel Analysis, Study Design, Natural Experiment, Causal Inference, Case-Control Study, Cohort Study, Potential Outcome Framework, Causal Discovery, Growth Strategy/Framework, Survey Design/Analysis, Thoughtful Execution Framework, Communication, Workshop

WORK EXPERIENCE



Deputy Data Team Lead

Alfred Systems Inc.

2022 - Present
Taipei, Taiwan (ROC)

Alfred Camera enables users worldwide to transform old smartphones into surveillance cameras and also launched hardware product since 2022. Its primary user base is located in North America, particularly in California.

  • Innovative Hardware and Monetization Strategy: Utilized the Encourage Program for validating key hardware and monetization strategies without direct A/B Testing, identifying core elements for sales and subscription models.
  • Collaborative Data-Driven Product Strategy: Formulated product iteration strategies with the CEO and PMs, ensuring outcome quality through training and reviews, and held meetings and workshops for deep data analysis, aligning closely with company goals.
  • Qualitative Data Integration in Analysis: Employed text embedding and Propensity Score Matching for natural experiments on user satisfaction and subscription intent, leading to insights for adjusting the paywall strategy.
  • User Feedback Topic Model Development: Created a Topic Model to efficiently capture and understand evolving user feedback, enhancing customer needs and experience insights.

Data Analyst

Alfred Systems Inc.

2020 - 2022
Taipei, Taiwan (ROC)

  • North Star Metrics & Data Context: In collaboration with the Product Director, established critical business metrics, built a data warehouse, and implemented multi-source ETL, using tools like Airflow and dbt. Focused on user behavior tracking and data-driven decision-making, supplemented by user feedback collected through surveys and interviews.
  • A/B Testing for Subscription Pricing: Conducted detailed, multi-centric A/B testing to optimize global subscription pricing, balancing profitability with subscription rates. Improved user journey and onboarding processes by minimizing unnecessary page transitions and highlighting core functionalities.
  • User Persona Development: Integrated survey and market research with user data to define user Personas, shifting the company's focus beyond Home Security. Collaborated with marketing and design teams to align product voice and tone with diverse user needs.

Data Analyst

ICS Game Tech.

2019 - 2020
Taipei, Taiwan (ROC)

ICS Game Tech is a company that assists in developing gaming platforms in China.
  • Performance Reporting to Executive Leadership: Executed product and platform performance reporting, presenting findings to the CCO. CMO, CTO. 
  • Designing Data Tracking Initiatives: Developed data tracking plans, utilizing Google Tag Manager, Google Analytics, and Matomo for conducting A/B testing on user behavior studies.
  • Systematic Review of Campaign Effectiveness: Conducted systematic reviews of campaign performance, defining three distinct types of market activities and user engagement methods, tailored to varying objectives.

Freelancer

Self employed

2017 - 2019
Taiwan (ROC)

  • Heading Law First & FDA, Taiwan: I authored comprehensive reports on food safety risks and import goods, analyzing and highlighting flaws in current sampling methods.
  • CommonWealth Magazine Group (Taiwan's Most Popular Magazine): Automated routine reports using SAS Macros and developed dashboards with Google Data Studio. Conducted a Data Studio teaching session and analyzed CRM data to enhance EDM outreach strategies.
  • Dannee Silk Project (Silk Product Retail Industry): Utilized R and RStudio for statistical modeling of sales data across 35 stores in Taiwan. Collaborated with sales representatives to boost sales efficiency, employed Association Rules for product combination analysis, and used multifactorial regression models and RFM modeling to understand SMS campaigns' impact and customer demographics.
  • WINS. Global and High Gate Corp.: Managed international transportation of artworks, focusing on organizing historical data and Salesforce platform development, gaining insights into ERP systems and logistics.
  • National Taiwan University: Conducted field surveys in Hualien for research projects, focusing on duck farming and avian influenza awareness studies.

Research Assistant

Chung Yuan Christian University

2015 - 2017
Taoyuan, Taiwan

Temporarily deferred studies in my senior year in college due to a keen interest in research, joining the Environmental Health Risk Research Laboratory at CYCU.
  • Participated in climate change and air pollution impact studies on vulnerable groups.
  • Developed skills in ArcGIS, SAS, and R; engaged in extensive scientific literature review.
  • Contributed to National Science Council-funded projects and co-authored an international journal article.
  • Presented research findings at conferences in Taiwan and Japan.

Summer Intern, 2014

Jenkinson's South

2014
New Jersey, United States

Participated in the Work and Travel Program, briefly working at a Bar & Grill in Point Pleasant Beach.

EDUCATION



In-service Master Program of Data Science

Soochow University

2022 - Present
Taipei, Taiwan

I continuously learn with new methods at work, but I believe it's important to create an environment for ongoing learning outside of work as well. Therefore, I chose to enroll in a in-service master's program. This has provided me the opportunity to interact with professionals from various fields, gaining diverse perspectives on data science, and allowing me to delve deeper into data science in my spare time.

Bachelor's Degree in Bio-environmental Engineering 

Chung Yuan Christian University

2012 - 2015
Taipei, Taiwan

I did not complete my degree. At the beginning of my senior year, I came across a research project on AED (Automated External Defibrillator) geographic location studies being conducted in a laboratory. At that time, I decided to temporarily pause my studies, but joined the same university as a Research Assistant to pursue research that interested me.

PUBLICATION & CONFERENCE


"Statistical Analysis of Imported Food Inspection Frequency, 2017-2019." Taiwan Food and Drug Administration in collaboration with Heading Law Firm.

This study focused on analyzing the frequency of border inspections for imported foods between 2017 and 2019. The research entailed a comprehensive investigation into the food safety risks associated with various types of imported foods, and it critically examined and highlighted flaws in the existing sampling methods, as documented in the reports.
Project Information https://www.grb.gov.tw/search/planDetail?id=12625651

"Pre-existing Comorbidity Modify Emergency Room Visit for Out-of-Hospital Cardiac Arrest in Association with Ambient Environments." PLoS One, September 26, 2018.

This study explores the risk of emergency room visits for cardiovascular or related diseases during cold spells and heatwaves, using a two-stage model (non-linear delayed model) and Meta Regression to explain the associated risks.
Online Article https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204593

"Ambient Environment and Non-Traumatic Cardiac Arrest in Taiwan." Presented at the International Conference on Combustion, Incineration/Pyrolysis, Emission, and Climate Change, September 21, 2016.

This study examines the non-causal relationship between air pollution, extreme weather conditions, and non-traumatic cardiac arrest in urban areas of Taiwan, highlighting the delay times associated with these events.
Attendance Record https://epsehost.env.kyoto-u.ac.jp/i-cipec2016/index.html

"Dengue Fever Epidemic Delay Time and Transmission Distance Analysis in Kaohsiung City." Presented at the Joint Annual Meeting of Public Health, October 16, 2016.

Utilizing the Distributed Lag Non-linear Model (DLNM), this research investigates the temporal and spatial distribution of dengue fever transmission following the outbreak, as well as the potential non-linear relationships impacting its spread.
Attendance Record 
https://www.publichealth.org.tw/upload/files/2016Program0929.pdf