Guojun (Jacob) Yang
Highland Park NJ • 718-***-**** • ********@*****.***
SUMMARY
Data Analyst with 2+ years of experience in developing data-driven solution for various business. Proficient in statistics, machine learning and data mining. Proven efficiency in team work and collaboration, as well as self-motivation. Looking for Data Engineer position that can apply my technical and professional skills. EDUCATION
UNIVERSITY at ALBANY, STATE UNIVERSITY OF NEW YORK Albany, NY Master of Data Science December 2019
Core Courses: Topological Data Analysis, Machine Learning, Data Mining, Intro Theory of Statistics, Optimization Methods Nonlinear Programming
UNIVERSITY at ALBANY, STATE UNIVERSITY OF NEW YORK Albany, NY Bachelor of Arts in Economics May 2017
Core Courses: Banking System, Public Finance, State and Local Finance, Math for Economists, Microeconomic, Macroeconomic EXPERIENCE
Golden Ocean Management Inc. Watertown, NY
Data Analyst August 2017–August 2018, December 2019 – December 2020
Collected the data through various channels to conduct profit optimization project for the hospitality company under chain management, gathering information such as historical rates, occupancy rates, customer demographic, etc.
Applied variable selection process to enhance the modeling process, and performed multivariate regression analysis using historical data to establish the forecast model of occupancy rate in relation with pricing, day of the week, holiday or special events, customer review rating, etc.
Back-tested the model to evaluate the predictive power using multiple statistics methods and analysis (MAPE, RMSE, sensitivity analysis, etc.) and forecasted 4 quarters’ occupancy rates for the given hospitality facility. Delivered comprehensive analysis results and presented the results to the management.
Performed internal audit on disclosures, examining for suspicious transactions, false entries and data integrity. Shanghai Pudong Development Bank Guangzhou, Guangdong, China Commercial and Consumer Real Estate Loan Analyst, Intern May 2016–August 2016
Conducted statistical research on both Commercial and Consumer Real Estate sectors with focus on small businesses, and assisted with building forecast models for the next four quarters’ performance forecasting using historical data.
Performed data collection proactively through various methods, including public sources (Yahoo Finance, Bloomberg) and peer information, and utilized the data to perform in-scope and out-of-scope testing on models built. PROJECTS
Answer Correctness Prediction Kaggle Data Science Competition Riiid AIEd Challenge 2020 November 2020–January 2021
Applied statistical methods to evaluate the effectiveness of educational practice over one million students. Tracked students’ performance before and after taking additional lectures and exercises.
Developed forecasting model on accuracy rate after continuing education through Python. Performed data analytics and backtesting to ensure data integrity, completeness, and predictive power. Letter Recognition University at Albany
Practicum in Topological Data Analysis September 2019–October 2019
Constructed training model to recognize physical letters from the Latin alphabet through the process of persistent homology.
Utilized Lower Star Image Filtration from Ripser package in python to locate the optimized life and death pair for each single letter in zero-dimensional homology.
Successfully trained the computer to recognize Latin alphabet letters through exact algorithm within optimal time. Eigenfaces University at Albany
Machine Learning July 2019–August 2019
Implemented of Principle Component Analysis in MATLAB for dimensionality reduction from existing dataset.
Utilized internal libraries from MATLAB to calculate the mean and the covariance of data. Derived weight eigenfaces and add up the mean of data for reconstruction. Successfully recovered human face images from blurred images. SKILLS
Programming: Python, NumPy, Pandas, TensorFlow, MATLAB, R, SQL, Java, Tableau, Alteryx, Microsoft Suite Language: English, Mandarin, Cantonese