GIANG (GIGI) NGUYEN

adbv7q@r.postjobfree.com 714-***-**** @giangnghn portfolio @ giginghn @gigi.nguyen PROFESSIONAL EXPERIENCE

CRESST at UCLA Undergraduate Research Assistant Los Angeles, CA Jan 2020 - Present Focused on finding methods and technologies that are solving most pressing challenges and improving the quality of education across the globe

● Analyze the effect of PBS KID’s interactive games in K-12 education using statistical and Machine Learning analysis to evaluate the impact on children’s cognitive abilities

ELSA Speak Product Analyst Palo Alto, CA Jun 2018 – Sept 2019 Harnessed large-scale data analytics to improve mobile app full life cycle (product design, growth, monetization, & serving infrastructure) as the first data science intern at Conversational AI EdTech startup (raised $7M in series A from Google AI Fund)

● Optimized app deployment metrics to improve user engagement up to 10% by regression analysis, detecting anomalies & seasonality of the time series data using Python and SQL

● Defined key predictors for conversion rate using XGboost and logistic regression to improve app stickiness & optimize monetization

● Improved mobile app growth metrics up to 20% by designing core product A/B tests that were fully adopted by CPO and principal designer

● Developed user lifetime value curve (LTV) to initiate cost-effective strategy for paid ads resulting in improved return on ads spend (ROAS) by 5%

Tiki Corporation Product Management Intern Ho Chi Minh City, Vietnam Jun 2016 – Aug 2016 Owned the full life cycle of a logistics product at an E-commerce startup with $60M+ valuation, reported directly to COO & improved the ETL process for order cancellation system

● Increased the fulfillment process efficiency up to 10% by leading the ideation & end-to-end execution of new inbound supply chain product

● Analyzed order cancellation data and worked cross-functionally with data engineers & operation manager to optimize ETL performance EDUCATION

University of California, Los Angeles (UCLA)

B.S. Statistics GPA: 3.56 Anticipated March 2020

● Rewriting The Code Fellow 2019 – a national program for undergraduate college women interested in careers in tech

● Transfer Alliance Program Scholar – exclusive scholarship for top 5% of 20K+ transfer students with outstanding academic achievement SKILLS

● Programming Languages: SQL, Python (numpy, scipy, scikit-learn, xgboost, prophet, spaCy, matplotlib, seaborn), R (dplyr, lubridate, glm, ggplot2)

● Machine Learning Skills: supervised methods (KNN, random forest, XGboost, regression analysis, SVM, LDA), unsupervised methods

(K-means, Naïve Bayes classifier, PCA), regularization (LASSO, Ridge), NLP (tidytext, spaCy)

● Marketing & Product Analytics Skills: A/B Testing, User Journey Analysis, Root-Cause Analysis, Data Visualization (Tableau, Power BI), Google Analytics, Amplitude

● Selected Coursework: Data Analysis & Regression, Experimental Design, Statistics Optimization, Data Mining, Probability Theory, Spark, Hadoop and MapReduce, IBM Data Science

COMPETITIONS & PROJECTS

MindfulR - App Store Review Mining (R, Python) Jul 2019 Self-initiated NLP project on meditation app reviews, part of an on-going interest in democratizing mental health improvement – featured on Towards Data Science

● Collected app reviews data using itunesR package to scrape the 50 latest App Store reviews for top meditation apps (Headspace, Calm, etc.)

● Applied part-of-speech tagging, sentimental analysis (spaCy, tidytext) & manipulated time-series (Prophet), discovering user pain points, best-performing features, and user behavior

● Recommended product improvements to aid in growth & cost-saving efforts on user research Facebook Data Challenge (R, Tableau) May 2019

Curated open-source data of San Francisco to make recommendations on opening new local businesses with a focus on social impact

● Led a team of 4 students from different technical backgrounds in Facebook 1st data hackathon

● Mined data from different sources, conducted data exploratory analysis using dplyr & ggplot2 packages in R to visualize & measure multiple industries growth rate, operation cost & community impact

● Pitched & defended the business case to Facebook data engineers & data scientists with a rigorous analysis

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