Summary
Overview
Work History
Education
Skills
Timeline
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You-Ning Chang

New York

Summary

5 years of industry experience in Data Science/ Analytics, Master’s in Economics with Data Science Certificate

Overview

8
8
years of professional experience

Work History

Senior Data Science Analyst

Universal McCann
New York
07.2023 - Current
  • Media Analytics: Manipulate multiple sources of data to analyze the state our clients’ businesses across multiple dimensions (search interest, website visits, social media, advertising activity, TV presence)
  • Project Managements: Manage projects timelines and deliveries, while working and owning certain pieces of the projects independently, and present finding to key stakeholders
  • Data Engineering Quality Assurance: Maintain and lead conversations around Data Extraction Transformation Loading (ETL), Quality and Hygiene with Database Engineering teams

Data Scientist II Product Analytics

BOLD
San Francisco
06.2022 - 02.2023
  • Product Analytics: Collaborate with business partners to manage KPIs, conduct root cause analysis, write complex SQL queries to extract data, and communicate insights for executive reporting
  • A/B Testing: Design, analyze, and review AB tests and multivariate experiments to validate hypotheses, create reports and dashboards, provide insights to assist product pricing and feature launch decisions
  • Machine Learning: Use ML and statistical analysis to predict customer behavior and better understand the drivers of user engagement, retention, and funnel conversion

Data Scientist

Saks Fifth Avenue
New York
08.2021 - 03.2022
  • Marketing Analytics: Evaluated 5 sales promotion events with SQL, calculate incremental profitability and ROI, automate analytics ETL pipelines and KPI reports, to streamline campaign performance monitoring
  • Customer Analytics: Summarized profitability measurement of targeted customers with established metrics, identify 100+ suspicious consumer behavior patterns with statistical analysis to drive peak season planning
  • Machine Learning: Forecast conversion behavior of 3M+ target audience from their past purchase metrics, online behavior, demographic, and customer segments, using classification and propensity models
  • Predictive Modeling: Enhanced marketing resource allocation by uplift models, to quantify incremental response as of marketing communications, predict treatment effects with machine learning models

Data Scientist

Soothsayer Analytics
Detroit
09.2019 - 08.2021
  • Machine Learning: Analyzed customer segments and LTV using clustering, feature engineering, dimension reduction, and classification, to understand purchasing patterns and facilitate effective marketing
  • Data Visualization: Developed 15 interactive dashboards using Tableau, ETL pipelines, report automation as scalable BI solutions, and reduced process time with efficient SQL queries
  • Data Engineering: Set up ETL pipeline (Python, SQL) to standardize, and store millions of records data into a database, to enable faster exploratory data analysis (EDA)
  • ML Explainable: Interpreted machine learning models (e.g XGBoost) by applying SHAP and LIME to maximize production rate, prioritize resources, and minimize cost

Data Scientist Intern

Nova Technology
Ann Arbor
05.2018 - 04.2019
  • SQL Development: Designed database by formal criteria to reduce data redundancy and improve data integrity
  • Recommender System: Built recommender systems by collaborative filtering and evaluated by experiments

Graduate Researcher

University of Michigan
Ann Arbor
09.2017 - 03.2019
  • Statistical Learning: Regression (Ridge, Lasso), classification (Logistic), dimension reduction (PCA)
  • Data Mining: Prediction by Bagging, Random Forests, Boosting, and K-means clustering (Python, ggplot)
  • Time Series Analysis: Revenue Forecasting by ARIMA and VAR models (Python, R)

Education

Master of Science - Applied Economics and Data Science Cert

University of Michigan
2019

Bachelor of Science - Economics

National Chengchi University
2015

Skills

  • Analytics Tools: Python, SQL, R, SAS, Excel, Tableau, Looker, Spark, Hadoop, Hive, Git, AWS, dbt, pandas
  • Technical Skills: Statistical Analysis, Machine Learning, AB Testing, Product Analytics, Predictive Modeling

Timeline

Senior Data Science Analyst

Universal McCann
07.2023 - Current

Data Scientist II Product Analytics

BOLD
06.2022 - 02.2023

Data Scientist

Saks Fifth Avenue
08.2021 - 03.2022

Data Scientist

Soothsayer Analytics
09.2019 - 08.2021

Data Scientist Intern

Nova Technology
05.2018 - 04.2019

Graduate Researcher

University of Michigan
09.2017 - 03.2019

Master of Science - Applied Economics and Data Science Cert

University of Michigan

Bachelor of Science - Economics

National Chengchi University
You-Ning Chang