Xuanming ChenMEng

613-***-**** TORONTO, ON admq0k@r.postjobfree.com xmchen

ABOUT ME

Programming SQL · Python · Java

Analytics Pycharm · Excel · Tableau

Software MS Office (Word, Outlook, PowerPoint) · Google Suite Modelling Machine Learning · Data Analytics · Data Visualization · Data Mining · Agile Project Management EXPERIENCE

Western Big Data Frontier Application Research Institution Remote, Canada Data Scientist Intern Jan 2020 - Jun 2020

• Provided valuable insights and gave data driven recommendation to Chinese government

• Researched and provided predictions on poverty alleviation policy impact on poverty using Python

• Applied Hot Deck Imputation & Regression model to impute missing values

• Weight of Evidence & Information Value to perform feature engineering

• Applied SMOTE-NC to handle imbalanced dataset

• Built Machine learning pipeline to predict the Poverty Probability Index(PPI) with 91% F1 score Neusoft China

Data Scientist Intern May 2019 - Jul 2019

• Collected ~1M user movie reviews from multiple website and social platforms with Selenium web crawling using Python

• Built movie score system using sentiment analysis in Python:

• Leveraged NLTK library to perform data pre-processing

• Generated user-friendly visualization using Matplotlib, Seaborn and World Cloud PwC China

Business Analyst Intern Jan 2019 - Mar 2019

• Identified industry trend from documents/research and gave data driven recommendation to clients

• Enable automation in reporting for clients and reduced processing time by 70%

• Built Tableau dashboard that update key information & analytics finding automatically for clients

• Scripted SQL queries to fetch data differently from client SQL databases and save up to 10 hours of manual work per week PROJECT

KPMG Virtual Experience Program Remote

Business Analytics Program 2020

• Identified and mitigated the data quality issues and enabled a comprehensive analysis by Excel

• Conducted exploratory data analysis (EDA) leveraged XLOOKUPs, Pivot Tables

• Constructed data visualizations in an interactive Tableau dashboard and presented key findings to clients Agile for a Coffee Machine Company Montreal, Canada Product Owner 2019

• Actively communicated with clients, understood, and defined their requirements for the coffee machine product

• Designed 11 user stories, summarized, and prioritized them into the product development backlog pipeline EDUCATION

Business Analytics Summer School in McGill University June 2019 Master of Digital Transformation and Innovation (COOP), University of Ottawa 2020 - Present

• Data Science Applications, Business Intelligence Technologies and Big Data Analytics Bachelor of Engineering in Software Engineering, Northeastern University 2016 - 2020

• Data Structure and Algorithm, Database Management, Probability and Mathematical Statistics

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