Tianhang Zhou

aduvyo@r.postjobfree.com 857-***-**** Boston, MA www.linkedin.com/in/tianhangzhou

EDUCATION

Boston University Boston, MA Expected Dec 2022

Master of Science in Applied Data Analytics (STEM) Hangzhou Dianzi University Hangzhou, China Jun 2020 Bachelor of Science in Computer Science and Technology

• Leadership: Minister of Arts in HDU Student Union RELEVANT WORK EXPERIENCE

Zhejiang Learn-easy Software inc Ningbo, China Apr 2021 - Jun 2021 Product Manager, Intern

• Communicated with customers to analyzed the feasibility of requirement, and developed product concepts, designs and user needs in order to balance customers and technical requirement.

• Designed a students’ grades data platform of data storage, data processing and data use, which replaced old marking system to help teacher to dramatically enhance work efficiency.

• Partnered with engineering team to design, develop four products in different areas, continually iterated on the technical requirements and processes supporting analytics in a way that benefits the company and the product. Hangzhou Huiyuan Technology Services Hangzhou, China Jan 2021 - Mar 2021 Data Analyst, intern

• Implemented a Tableau dashboard to visualize core business measurements, saving 10 hours per week of manual reporting work

• Analyzed data from 100,000 monthly active users to guide marketing and product strategies; increased 20% app engagement time and 15% charge rates

• Designed and executed A/B testing for Shopping mall promotional campaigns regarding users’ portraits, improved web traffic by 30% and ROI by 120%

ACADEMIC PROJECTS

Stock Prediction Analysis Mar 2022

• Conducted data preprocessing, exploratory data analysis to design a trading strategy for S&P-500 by Python

• Developed machine learning classifier(Linear Regression, KNN, SVM) to predict stock prices for next year, then compare performance based on accuracy, precision, and recall Red Wine Quality Analysis Jun 2022

• Analyzed the Portuguese red wine quality of 200,000 rows dataset with Python and SQL to figure out the most influential features on red wine quality and verify the result through t-test and analysis of variance

• Employed logistic regression model to forecast scores of wine quality and provided suggestions for controlling interval of variables to improve quality

Loan Default Analysis Jun 2022

• Performed a classification data mining to predict whether borrowers will default on their loans

• Preprocessed 150k rows and 34 features dataset and test it using 10-fold cross-validation, and chose five attribution selection methods in order to prepare reduced training datasets

• Built and tested five classification models(such as random forest, naïve bayes) and selected algorithms above to compare the performance of the best model

RELEVANT SKILLS

Technical Skills: Python, SQL, R, Power BI, Tableau, MS Office Related Coursework: Data Structures; Data mining; Data Analysis and Visualization; Analysis of Algorithm; Machine Learning; Big Data Analytics(Spark,Hive)

Methodologies: Machine Learning, Statistical Inference, A/B testing, Hypothesis testing, Probability ADDITIONAL EXPERIENCE

Volunteer Experience: collected marine debris with the local fishermen and promoted “green habits” among tourists to reduce the impact of plastic pollution

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