Yunan Wu

Working hard to become an excellent programmer

Data Analyst Consultant                                                                                                                                       Toronto, Canada

Danfoss                                                                                                                                                                 Sept. 22 – Dec. 22

• Identified 5 critical factors influencing sales from 23 features with PCA(Principal Component Analysis) based on data cleaning and EDA(Exploratory Data Analysis) in Python.
• Built time series models (ARIMA and SARIMA) with Python to forecast the moving average sales of the European market for the upcoming 3 months, boosting the prediction accuracy to 93%.
• Led 4 team members to develop an actionable plan based on customer demands and presented the findings with feasible business recommendations.

Product Manager                                                                                                                                                       Beijing, China

iHandy Group                                                                                                                                                        Feb. 21 – Dec. 21

• Analyzed data from multiple A/B Experiments (10K+) with hypotheses testing on user retention, subscription rate, payment rate, lifetime time value, etc. to support UI/page and logic design decisions, enabling a 50% increment in APP retention rate and 15% growth in in-app payment rate.
• Performed competitor analysis, market research, and survey analysis to guide product operation plans, iteration strategies, and A/B testing design. 

Associate Scientist                                                                                                                                                     Beijing, China

Procter & Gamble, BJIC                                                                                                                                      Aug. 20 – Feb. 21

• Conducted t-tests in R on 3K samples selected by random sampling methods after descriptive summary to compare the performances of 2 packaging materials, replacement of the materials based on the analysis led to a 15% cost reduction.
• Collaborated with cross-functional departments to smooth the entire process of package design and production to ensure an on-schedule product launch.

Analyst Intern                                                                                                                                                          Exton, PA, USA

Sartomer, 3D Printing Department                                                                                                                       Jan. 19 – Nov. 19

• Designed experiments using JMP and adjusted the boundary conditions to discover the optimum formulation with the finest mechanical properties and fastest printing speed.
• Explored 10 resin materials and their optimal concentration level through Regression Models and Desirability Profiler for Multiple Responses Diagrams on data collected from 200+ experiments, achieving a 30% improvement in printing speed and a 20% enhancement in mechanical properties.

Northeastern University, College of Professional Studies                                                                                        Toronto, CAN

Master of Professional Studies in Analytics | GPA: 3.89/4.0                                                          Jan. 22 – Expected June. 23

Cornell University, College of Engineering                                                                                                           Ithaca, NY, USA

Master of Engineering in Materials Science and Engineering | GPA: 3.58/4.3                                               Aug. 18 – May. 20

Jiangnan University, Zhishan Honors School (Top 3% of the University)                                                                   Wuxi, CHN

Bachelor of Engineering in Polymer Materials and Engineering | GPA: 3.61/4.0 (Top 8/96)                        Sept. 14 – Jun. 18