R, SQL, Python, Excel

Yuejia (Sissi) Ma

***********@*****.*** San Diego, CA, 92121 949-***-**** linkedin.com/in/yuejia-sissi-ma/ OBJECTIVE

Value-driven mathematician/statistician with an interest on entry-level position in Data Science and Business Analysis.

R Tableau Linear Regression Decision Tree

Python LaTeX Logistic Regression Random Forest

SQL OpenBUGS A/B Test Neural Network

MATLAB Excel Time Series SVM

EDUCATION

University of California, Irvine Master of Science in Statistics Dec. 2015 University of California, Irvine Master of Science in Mathematics Sept. 2014 EXPERIENCE

De Young Museum Volunteer San Francisco, CA Sept. 2017 – Apr. 2018

• Engaged in guiding museum tours; provided trip itinerary suggestions and related local transit information; assisted patrons in the Parcel Check

• Offered extra assistance besides job duties, such as booking a ride for foreign patrons

• Met customers’ need with initiative; rendered detail-oriented services to visitors Prime Time Athletic Club Front Desk Burlingame, CA Jan. 2018 – Apr. 2018

• Served over 80 clients per hour including answering calls, managing appointments, providing class recommendations and resolving complaints

• Possessed strong multi-task ability, e.g. simultaneously greeting a guest and performing credit card transactions

• Led a healthy lifestyle and instilled the value of regular exercise by encouraging and instructing clients to work out New York Life Insurance Company Agent Training San Jose, CA Aug. 2017 – Dec. 2017

• Host a seminar workshop for Chinese American Biopharmaceutical Society and coordinated with the presentation speaker; helping members understand risk management, asset protection and retirement planning

• Managed the preparation and schedule of clients’ meetings; provided customers prompt financial advice; ran life insurance illustrations to promote learning

AIR Commercial Real Estate Company Commercial Research Associate Orange, CA Mar. 2016 – Dec. 2016

• Collected raw real estate data from brokers and organized them into standardized forms through CDX

• Maintained and updated up-to-date contact records in the CRM

• Reviewed the daily data reports, verified and corrected input data; receiving positive feedbacks from managers PDC Capital Group Investor Relations Intern Costa Mesa, CA July 2015 – Feb. 2016

• Presented senior living projects, managed publicity (videos, brochures, PPTs, newsletters) and sales materials (PPM, due diligence documents); attracting two potential EB-5 investors

• Collaborated in a team-based model partnered with other departments RESEARCH PROJECTS

• A better music recommendation system: Investigated 7M entries to predict a user’s first observable listening event triggered within a month

Statistical Model: Logistic Regression, Random Forests, Neural Network Diagnostic Measure: Evaluated AUC in achieving the prediction accuracy, 0.64

• ICU Mortality Study: Studied the outcome of patients’ mortality after admission to ICU using basic patients’ information such as age, consciousness level and systolic blood pressure Statistical Model: Linear Regression, Logistic Regression Diagnostic Measure: Selected the final model based upon AIC; performed Pearson residuals and diagnostic plots; conducted AUC to evaluate the prediction accuracy, 0.87

• Tumor Growth Study: Investigated the effect of various chemotherapy treatments on the volume of tumors categorized by VEGF. Tumors increase in quadratic way over time, and drugs are only useful when VEGF is low Statistical Model: Linear Mixed Effects

Diagnostic Measure: Applied random effects test, semi-variogram and residuals plot to confirm and visualize the final model

• Gun Buy-backs & Suicide: Examined data of non-firearm and firearm suicide in Australia from 1915 to 2004. Gun buy- backs are likely to reduce the number of suicide

Statistical Model: Time Series (ARIMA, trend-stationary model) Diagnostic Measure: Checked model sensitivity, verifying different models leading to the same result

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