CV - Zhipeng Zhu

604.834.0061 | jsyxzzp@outlook.com

Education

The University of British Columbia
Vancouver, BC

Master of Science: Major in Statistics
Sep 2020 - May 2022

International Tuition Award


The Ohio State University
Columbus, OH

Bachelor of Science: Honours Physics, Minor in Statistics and Mathematics
Aug 2016 - May 2020

Magna Cum Laude, James Smith Scholarship



Skills

  • Software: Snowflake SQL, MS SQL, Azure, Tableau and Mode Analytics.
  • Programming: SQL, Python, R, Java and C++; PowerShell, Zsh, Bash and Git.
  • Field Knowledge: Data Quality Assurance, Data Migration, Data Engineering, Electronic Medical System, Machine Learning, Data Structure and Algorithms.

Experience

TradingView Community
Vancouver, CAN

WEB 3.0 Analyst
Nov 2023 - Present

  • Market Analysis: Provided market analysis based on economic data, indicator numbers and moving structures. Provided a precise strategy on the reversal position of BTC on 25th Jan.
  • Strategy Education: Prepared educational material for trading strategy in the financial market. Provided detailed operation instructions with systematic risk management using Optimism as an example.
  • Community Programmer: Created Pine-Script indicators used in TradingView software with detailed introductions. Improved more than 10 classic or enhanced indicators with more symbol capacity and customization. Translated Pine-Script indicators and strategies to Python-based Backtrader quantframe.
Yuyao Jewelry Co., Ltd.
Shanghai, CHN

General Partner
Apr 2022 - Nov 2023

  • Constructed a Gemstone and Jewelry consultant service between customers and sourcing partners.
  • Built an international trading channel between Thailand, Sri Lanka, Pakistan and China.
  • Ran ecommerce stores on various platforms including Taobao and Douyin.
  • Promoted auction-grade hign-end jewelry from Thailand to Mainland China.
LucenFly
Vancouver, CAN

Co-Founder
May 2022 - Oct 2023

  • SquareSpace-powered website design, development and maintainance.
  • Gemstone/jewelry high-res photography.
  • Design and construct product database and SKU system.
  • Maintain and expand supply chain relationships.
Pacific Cloud Trading Inc.
Vancouver, CAN

General Partner
May 2022 - Present

  • Founded custom jewelry brand 'LucenFly'.
  • Conduct marketing analysis and draft sales strategy.
  • Perform internal audits including expenditure controlling, balance sheet reporting and growth monitoring.
Lightyear Health, Team of Data Science
Walnut Creek, USA

Data Scientist Co-op
Sep 2021 - Dec 2021

  • Data Migration: Created 30+ data schemas, monitored data mapping process, and troubleshot issues in multiple data migration project; actively communicated with vendors and engineer team to ensure requirement alignment.
  • Quality Assurance: Designed, implemented, and maintained 5+ quality assurance (QA) script to detect anomalies and ensure the integrity of clinical and sales data from disparate sources to facilitate data modeling.
  • Database Manipulation: Conducted data profiling, data transformation, and data restructuring with complex Snowflake SQL queries for multiple datasets of 10k+ entries respectively.
  • Reporting and Dashboard: Generated and maintained 10+ periodic BI dashboards with Mode Analytics to visually summarize sale growth, identify potential investment, and inform internal decision-making.
  • Data Analysis and Modeling: Optimized regional sales strategy and built a predictive diagnosis system with advanced machine learning models (classification, recommendation, and prediction).
University of British Columbia, Department of Statistics
Vancouver, BC

Graduate Research Assistant
Sep 2021 - May 2022

  • Project Content: R packages "Distplyr" and "Distionary" development with Professor Vincenzo Coia.
  • Software Development: Provided 10+ infrastructure functions and test suites to aid software validation and deployment.
  • Program Documentation: Created 10+ informative demonstration examples in the documentation files to enhance software users' coding experience and facilitate future software maintenance.
  • Presentation and Knowledge-Sharing: Host department-wise seminar to share knowledge of statistical software development techniques and real-world applications.
University of British Columbia, Department of Statistics
Vancouver, BC

Graduate Academic Assistant
May 2021 - Aug 2021

  • Support department's online teaching requirements and developments of learning resources for STAT courses.
  • Apply innovative learning technologies (Canvas, WeBWorK, R) to traditional in-person classes.
  • Provide reviews on course material and develop new questions for exams.
University of British Columbia, Department of Statistics
Vancouver, BC

STCS Consultant
Apr 2021 - May 2022

  • Offer professional statistical assistance in short term for experiment design for research.
  • Draft project planning and schedule for clients with personalized requirements.
  • Provide explanations of statistical techniques, assistance in study designing and analysis of client's data set.
The Ohio State University, Department of Physics
Columbus, Ohio

Physics Tutor
Sep 2017 - Apr 2020

  • Helped students understand concepts in Physics classes and inspired them to solve relative questions.
  • Provided brief exam review sessions for groups of students who were attending Physics classes.
The Ohio State University, Holography Club
Columbus, Ohio

Membership and Holography Maker
Aug 2017 - Apr 2020

  • Produced small sized holography works.
  • Prepared and co-host the Holography Show.


Activities

NLP Project on Sentence Similarity | UBC, Vancouver
Nov 2021

  • Cleaned up and preprocessing data with 400k+ entries from Kaggle's competition "Quora Question Pairs".
  • Developed an 85%-accuracy LSTM with Word2Vec model for question pair classification based on sentence similarity.
  • Researched on 1D-CNN embedding layer with class weights, TFIDF, and mover distance etc., 86% accuracy achieved.
Apr 2021

  • Exploratory data analysis and time series processing.
  • Developed a Bayesian structural time series model for seasonal prediction on S&P 500 index with 84% accuracy.
  • Built Gaussian process models in python for monthly prediction on S&P 500 index.
Mar 2021

  • Applied the survival analysis on the conversion rate of first purchasing of new users.
  • Constructed a Cox PH model and an Aalen's Additive regression model to recognize the vital factors on users' behavior.
  • Provided marketing strategy based on the key reported factors for specific targeted customers and markets.
Mar 2021

  • Collaborated in team and developed a longitudinal study focusing on the patients' evaluation of surgery outcomes.
  • Drafted exploratory analysis and univariate analysis, using in-depth visualization and sufficient A/B tests.
  • Preprocessed and restructured raw data with 1.5k+ entries for logistic regression and linear mixed effect models.
Nov 2020

  • Presented exploratory data analysis and missing values analysis on the hospital measurements of HCV patients.
  • Built OvR/MvM multiclass logistic-regression-based classifiers with 95.4/96.4% accuracy for the patient recognition.
  • Implemented a Naive Bayes Classifier with 93.81% accuracy as the benchmark for the multiclass classifier.
Materials and Sky | OSU, Columbus
Apr 2020

  • A photographic project of a series with diagonal layout.
  • Explore the collision between building materials and the sky.
  • Explore the intersection between geometric structures and natural views.
Data I/O | OSU, Columbus
Oct 2019

  • Completed the challenge of traffic analysis from Mobikit, for improving the safety function in auto driving.
  • Conducted modification on nominal data, data cleaning and missing values analysis.
  • Constructed logistic regression modelling and performed model selection.
DataFest | OSU, Columbus
Apr 2019

  • Data modification, feature selection, exploratory data analysis and multiple hypothesis test with high power.
  • Presented insights of the data and interpreted data visualization for non-academic audience.
  • Offered specific suggestions regarding daily lifestyles of university athletes.
Nov 2016

  • Tested complied codes and maintained coding consistence.
  • Designed an educational language based on JavaScript which could be compiled to low level subsets of JS and C.
  • Kept the language as strictly typed, multi-paradigm, and compiled with modern and clean style.