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Data Analyst Python

Location:
Philadelphia, PA
Posted:
March 27, 2020

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Resume:

I am a motivated and team-work oriented data analyst with three years of experience in Python and R programming. Education

University of Pennsylvania — Master of Urban Spatial Analytics; 2019-2020; Scholarship of $30,000 University of California, Los Angeles — B.S, Statistics & Minor in Mathematics; 2015-2019; GPA: 3.6 COURSEWORK

• Machine Learning, Optimization, Data Mining, Data Modeling, Linear Algebra, Spatiotemporal Analysis.

• Health Care Management 850 at Wharton School (US Health Care Reform/System), PUBH 502.

• Probability& Financial Mathematics Exam Passed (Society of Actuaries) Statistics for Risk Modeling Expected

• 2nd Place in UPenn Department of City and Regional Planning In-class Hedonic Home Price Prediction Skills

Languages: Python (pd/np/seaborn/sklearn/geopandas/keras/pytorch), R, SQL, Matlab, VBA, Javascript Softwares: ArcGIS, QGIS, GeoDa, MS Office (Word, Excel, Powerpoint), Tableau, SAS, AWS Subjects of Interests: data mining, time series analysis, machine learning, deep learning, GIS, remote sensing, pattern& trend identification, data science research methods, data quality assessment, public health. Professional Experience

RESEARCH ASSISTANT, UNIVERSITY OF PENNSYLVANIA HEALTH SYSTEM (UPHS), PENNSYLVANIA - 2019-12 - CURRENT

• Conducted data analytics (Bayesian Network etc.) using Python, R, and SAS for IBC payers data evaluating patient, provider, and system -level interventions to improve care outcomes for marginalized populations.

• Incorporate geocoding and spatial analysis of patient data to extract insights from readmission data. BUSINESS ANALYST INTERN, STEL LIFE; PHILADELPHIA, PENNSYLVANIA - 2019-08 - 2019-11

• Built analytics using Python and R for Stel Life’s vitals monitoring system and convert data to actionable insights.

• Predicted patient pauses and alerts, given many different possible factors such as time between appointment.

• Prepared interactive analytical reports comprised of different modeling techniques such as time series analysis. DATA ANALYST INTERN, PING AN INSURANCE; SHANGHAI, CHINA - 2018-06 - 2018-09

• Wrangled data from large database with SQL to analyze and visualized trends of medicare cost for 21 hospitals.

• Programmed a health insurance rater with excel VBA that was used to improve business decisions for insurers.

• Developed data-driven solutions with advanced analytics (machine learning and statistical models) to extract insights from large data sources of disease and medicine (21 hospitals and hundreds of pharmacies and clinics). DATA ANALYST INTERN, OK INSURANCE; SHANGHAI CHINA — 2017-06 - 2017-09

• Worked cross-functionally with the accounting team to drive insights across claim data and created trade journals.

• Identified patterns of braking activity from ten thousand drivers’ vehicle braking data, adding value to services.

• Integrating deep learning with GIS mapping which helped to predict itinerary and supported customer growth. Projects

UCLA EXTENSION AIEP ENGLISH PLACEMENT TEST EVALUATION PROJECT (STATISTICAL CONSULTING) — 2019-04 - 2019-06

• Analyzed students’ test performance on two placement tests and identified their needs with statistical modeling. KAGGLE IN-CLASS HOUSE PRICES PREDICTION COMPETITION — 2018-10 - 2018-12

• Led the team to use advanced classification techniques for feature engineering (logistic regression, decision tree, Lasso, gradient boosting, svm etc.) and identified 17 house features to build the model of prediction.

• Developed a random forest model that outperformed other models and reached classification accuracy of 94.33%. YELP DATASET TEXT MINING& R SHINY APP — 2018-11 - 2018-12

• Developed a R shiny app that enabled customers to search keywords directly from reviews and locate businesses. Leadership

LEAD TREASURER; UCLA CHINESE STUDENTS AND SCHOLARS ASSOCIATION — 2017-05 - 2018-05 Recent Projects: Predicting Poverty In Brazil From Satellite Imagery and Machine Learning UPHS, Social Determinants of Health, Exploratory Spatial Data Analytics Betty Zixi Liu

310-***-**** *******@*.****.*** 3131 Walnut St. Apt 218, Philadephia, PA 19104 Github:https://github.com/zixi-liu



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