Social Media Data Analyst

TIANYUE (SELINA) NIU

**** * ****** ** • Chicago, IL 60605 • 404-***-**** • ******.***@*****.***

HIGHLIGHTS

• Interests: Data Science, Data Analytics

• Research Skills: Predictive Modeling, Statistical Inference, Machine Learning, A/B Testing, Parallel Computing

• Technical Proficiencies: SQL, Python, JavaScript, R, AWS Redshift, Hive, Apache Spark, Power BI

• Achievements: IBM Data Science Professional Certificate, Udacity Data Analyst Nanodegree, Medium Blogger EDUCATION

University of Chicago Chicago, IL

Master’s in Computational Social Science (3.8/4.0) Aug 2019 – Jun 2021 Maroon Scholar Research Award ($40,200 annual)

Emory University Atlanta, GA

Bachelor’s Degree in Economics and Psychology (3.9/4.0) Aug 2015 – May 2019 Phi Beta Kappa Honor Society, Dean’s List

London School of Economics and Political Science London, UK Study Abroad, Economics Department (3.9/4.0) Sep 2017 – Jun 2018 PROFESSIONAL EXPERIENCES IN DATA SCIENCE & ANALYTICS Astellas Pharma (Advanced Informatics Analytics) Chicago, IL Advanced Analytics Intern Jun 2020 – Sep 2020

• Designed and executed advanced analytics projects (SQL, Python) across 8 therapeutic areas; extracted insights that enabled stakeholders to make critical decisions on new drug development and go-to market strategy.

• Automated data visualization process (using python) for patient flow analysis; optimized team’s analytics approach.

• Compared market analysis results from multiple data sources; created new projection benchmark for future projects. University of Chicago (Environmental Neuroscience Lab) Chicago, IL Computational Research Assistant Sep 2019 – Present

• Cleaned mouse tracking data from 1000 participants; applied regression & eye tracking algorithms to extract insights from data; found significant correlations between cursor features (e.g. pause, hover, velocity) & personality traits.

• Analyzed 100 millions rows of Chicago transportation data; performed spatial autocorrelation and k-means analysis on demographic factors & ridesharing; formulated report to support grant application to the Department of Energy. BBD (AI Product Development) Beijing, CN

Data Science Intern Jun 2019 – Aug 2019

• Developed a self-service analytics platform that allows businesses to train machine learning models without coding.

• Optimized anti money-laundering model using WOE and regularization; increased model accuracy from 79% to 87%.

• Communicated with different teams for cross-functional alignments; facilitated the addition of 2 new product features. New Chapters (Business Development) London, UK

Digital Marketing Analyst Nov 2017 – Sep 2018

• Provided regular strategy proposals to the CEO; monitored users’ activities on multiple social media channels.

• Redesigned and launched company’s website (newchaptersuk.com) & social media platforms.

• Analyzed user preferences using multiple analytic tools, increased subscribers by 80% in 6 months. ADDITIONAL PROJECTS IN DATA SCIENCE & ANALYTICS

NLP Analysis of Neuroscience Publications (Python) Natural Language Processing (GitHub Link) Jun 2020

• Performed LDA topic modeling, word embedding, and network analysis to examine changes in neuroscience research. Discovered trends that accurately matched with historical developments in neuroscience in the past 50 years. Udacity Data Analyst Nanodegree (Python)

Nanodegree Certificate (GitHub Link) Nov 2019

• Conducted A/B testing for a new page launch using hypothesis testing and Bonferroni correction.

• Analyzed Prosper loan data and visualized factors that might influence default rate (seaborn & matplotlib).

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