Data Project

DELILAH M. HUYNH (U.S. Citizen)

Los Angeles, CA 626-***-**** *******.*.*****@*****.*** linkedin.com/in/delilahhuynh BUSINESS ANALYSIS / DATA SCIENCE

Versatile Master’s degree professional with 12+ months of experience in business/data analysis, advanced statistical analysis, and data science; adept at validating and transforming large datasets to identify opportunities, patterns and make recommendations for clients through diverse fast-paced projects. EDUCATION

SIMON BUSINESS SCHOOL, UNIVERSITY OF ROCHESTER – Rochester, NY MS in Business Analytics (A STEM-Certified Program) June 2017

• Leadership: Corporate Engagement Executive Board Member – Data Analytics Club

• Courses: Adv. Business Analytics, SQL, Statistics, Adv. Marketing Analytics, Pricing Analytics UNIVERSITY OF CALIFORNIA, SAN DIEGO – La Jolla, CA BS in Mathematics (Applied) June 2016

• Leadership: UCSD On-Campus Ambassador, College-Bound Academic Mentor

• Courses: Non/Parametric Statistics, Probability & Stochastics Processes, Real & Numerical Analysis EAST LOS ANGELES COLLEGE – Monterey Park, CA

Field Studied: Mathematics June 2013

• Honors: Judy Chu’s Congressional STEM Student Achievement Award; MESA’s Highest GPA for STEM Student Transferring Award

• Leadership: Math Club Treasurer and STEM Student Ambassador

• Courses: Calculus 2 & 3, Linear Algebra, Differential Equation EXPERIENCE & PROJECTS

Business Analytics / Data Science Projects, University of Rochester Rochester, NY Dec. 2016 – June 2017 City of Rochester Fire Department Project

• Developed models in R to manage data cleaning process and run predictive analysis on five massive structural, fire, and census datasets for all residential and commercial buildings in the City of Rochester to improve allocation of resources for the top 10 most flammable buildings.

• Conducted presentations covering client updates and recommendations that provided insights into the project; the final analysis supported fire prevention for over 200+ houses in the city. C.A.S.H. Non-profit Financial Services Organization Project

• Led four team members to develop impact analysis of household size, income and education on use of C.A.S.H financial services and presented these insights to Senior Managers.

• Designed Tableau visualizations to analyze customer trends and observe impact of changes in site locations on number of low-income clients.

Data Analysis Projects, UC San Diego – La Jolla, CA Jan. 2016 – Apr. 2016 BNP Insurance Eligibility Claim Project

• Led brainstorming sessions to evaluate different machine learning techniques and minimize variable correlations, and implemented machine learning techniques, such as LASSO and logistic regression, to forecast customer claims approval, resulting in 76% predicted accuracy. Human Cytomegalovirus (CMV) DNA Project

• Developed hypothesis-testing models to utilize distribution processes and highlight statistical analysis using R, and formed graphical and statistical analysis that would aid researchers and biologists in cutting at the recommended virus replication site at minimal virus detection time. ASSETS & INTERESTS

• Data analytics: Machine learning/predictive models, marketing analytics, probability/statistics, and calculus

• Computer skills: R, Python, Tableau, SQL, and MS Office (Word, PowerPoint, Excel)

• Language proficiency: English (Fluent), Vietnamese (Native), Chinese (Chiu-Chow Dialect – fundamentals)

• Interests: Aerial silks, fencing, swimming, acting, self-studying

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