Tianyi (Tiana) Hu

*** * **** ******, *** York, NY 10019 646-***-**** adb5vj@r.postjobfree.com

EDUCATION

Columbia University, New York 09.2018 – 12.2019

Master of Arts in Quantitative Method of Social Science (Data Science Focus) GPA:3.7/4.0 Major courses:

Statistics: Data Analysis & Visualization Machine Learning Time Series East China Finance: University Fixed of Income Science and and Derivatives Technology, Pricing Shanghai, Financial China Economics Econometrics 09.2014 - 06.2018 Bachelor of Finance GPA:3.73/4.0

Honorable Mention in Mathematical Contest in Modeling, 2017 Major courses: Probability Theory, Numerical Analysis, Stochastic Process, Financial Engineering PRACTICAL EXPERIENCE

Klaatch (Start Up), New York 06.2019 - 08.2019

Data Scientist Intern

Manipulated data from surveying age 80+ older adults before and after social engagement, and extracted and performed NLP analysis to first find trend of social engagement and then trace shift in loneliness Summarized the study with data visualization tools (Tableau, Shiny App) and presented to the CEO, of which later became part of the driving product of the firm (See klaatch.com/new-page) Accenture PLC 03.2018 - 04.2018

Consulting Analyst Intern

Performed quality assurance testing for the internal operating system of a top national supermarket on SAP S/4 HANA environment to expand and standardize the current practice. The new system increased auditing efficiency and decreased potential risk in financial management The Nielsen Company (US), LLC. 11.2017 - 02.2018

Quantitative Analyst Intern

Compared market maturity of online rental services in both Chinese and U.S. markets based on factors such as total sales and cash flow using Principal Component Analysis to capture area of potential growth Successfully prepared a new electric vehicle product by predicting positive market response for a growing millennial customer base using ARIMA model

Southwest Securities Company, Ltd. 07.2017 - 11.2017 Research and Development Intern

Analyzed the core technology and competence of a listed company that focuses on video monitoring technology and figured out investment essentials and logic with the team Collected qualitative analysis of overseas FPGA suppliers and forecast the market potential of FPGA business using data of Bloomberg, Gartner, etc.

ACADAMIC EXPERIENCE

Columbia University, Graduate Schools of Arts and Science, New York 09.2019 - 12.2019 Stock Trend Prediction Using News Sentiment Analysis Performed data pre-processing on datasets from Kaggle, transformed text data using VADER and LM analysis, and practiced machine learning models such as Naïve Bayes, Random Forest, Support Vector Machine to find over 80% correlation between volatility of stock prices and news headlines from Reddit WorldNews Channel Columbia Business School, New York 03.2019 - 07.2019 Research Assistant

Calculated essential regression concepts such as ordinary least square, standard error, principle component analysis, factor analysis, K-means to demonstrate steps of cross-validation for new student orientation Established a database for U.S. regional bank shareholders’ shareholding and generated surface level analysis using Matplotlib in Python

SKILLS & INTERESTS

Skills: C (2 years), Python (2 years), R (2 years), SQL, Tableau, MATLAB, SPSS, Microsoft Software (Excel, PowerPoint…), Machine Learning

Languages: fluent in English, intermediate in Japanese, native in Mandarin