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TIANLANG (ADAM) YANG

* * ***** **, *** *W, New York, NY 10025

857-***-**** ac8hzc@r.postjobfree.com https://www.linkedin.com/in/tianlang-adam-yang-a00088143/ TECHNICAL SKILLS

• Hardware/Software Skills: Python, R, SAS, SQL, SPSS, Tableau, Stata, Excel (VLOOKUP, Pivot table)

• Other Technical Skills: Machine Learning (supervised and unsupervised), Deep Machine Learning, Text Mining, Big Data Mining, Web Analytics

EDUCATION

2018-2019 FORDHAM UNIVERSITY, GABELLI SCHOOL OF BUSINESS New York, NY MS, Business Analytics, Expected Aug/2019., GPA 3.9

• Relevant Coursework: Database Management, Web Analytics, Data Mining for Business, Text Analytics, Deep Machine Learning, Big Data Analytics

• Honors and Awards: Dean’s Scholarship

• Leadership Position: Fordham Business Analytics Society, Steering Committee Chair 2014-2018 BOSTON UNIVERSITY Boston, MA

BA, Mathematics, Minor in Economics and Business Administration & Management

• Relevant Coursework: Calculus, Linear Algebra, Analysis of Variance, Linear Models, Mathematical Statistics, Probability, Microeconomics, Macroeconomics, Econometrics, Financial Accounting, Managerial Accounting

• Leadership Position: Boston University Billiards Club, Vice President EXPERIENCE

Summer 2018 SINOBBD SAN JOSE, CA

Data Analyst (Intern), Investment Department

• Scraped, cleaned, and added 20000 start-up companies on Crunchbase into database; accomplished workflow automation and increased investment department’s database by 10%

• Led a team of four to select 50 companies for investment opportunity and 50 companies for company’s potential customer based on big data analysis result; presented with charts created using Tableau Summer 2017 CLINK!GIFT NEW YORK, NY

Data Analyst (Intern), Finance Department

• Constructed and implemented fee matrix for product into business model and visualized lowest cost strategy through Pivot table in Excel; reduced company’s cost by 6%

• Managed Zendesk to achieve 50% reduction in customer response time and addressed customer inquiries on account balances, transaction details and fees to achieve financial stability through customer benefits PROJECTS

Fall 2018 TEXT ANALYTICS PROJECT IN TRENDING CONTROVERSIAL CAMPAIGNS ANALYSIS

• Crawled around 400,000 tweets and YouTube comments on 30 controversial campaigns using BeautifulSoup and Selenium, and ran Python and R to do natural language processing and sentiment analysis

• Applied tokenization, stemming, bag of words, Part-Of-Speech tagging, n-gram, sentiment lexicons, vectorization, Naïve Bayes classifier, Support Vector Machine, and Clustering Fall 2018 MACHINE LEARNING PROJECT IN AIR QUALITY ANALYSIS IN LOS ANGELES

• Collected 20 years air quality and weather data; 4 different models were implemented: Decision tree, Neural Network, Bayesian Network, and K-mean Clustering; final model reached 86.7% accuracy on testing dataset

• Concluded daily max temperature and min humidity are most important in predicting level of health concern ADDITIONAL

• Languages: Fluent in English; Native in Mandarin

• Computer: Google Analytics, R Studio, SQL Developer, Alteryx, Hadoop, Advanced MS Office Package

• Memberships: Member at World Wide Dream Builders Spring Leadership Conference, Volunteer at China-US Health Forum

• Interests: Basketball, Fashion and Media Trends, Fitness

• Additional Experience: Internship at GUODU Security in Beijing (Summer 2016)

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