data science/analytics

IZABEL HAN

*E **rd, Baltimore, MD, *****

410-***-**** *************@*****.***

EDUCATION

Johns Hopkins University Aug 2018 - May 2020

M.S Applied Mathematics and statistics

University of Connecticut Aug 2014 - May 2017

Mathematics/statistics GPA: 3.81/4

Minor in digital marketing analytics (Google Analytics Individual Quali cation earned) DATA SCIENCE PROJECT

Fannie Mae foreclosed loan predictive model Jan 2019 - May 2019

Used Python Pandas/Numpy/Scikit-learn libraries to preprocess and extract meaningful features from 2001- 2004 acquisition and performance tables. Then created applicable training/testing data sets.

Fitted in di erent classi ers, adjusted weights of classes to get the prediction model. Regularized estimators after run testing data.

Recall of each class reached more than 97% (The best performance in the class). TECHNICAL SKILLS

Programming languages R, Matlab, Python

Data analytics/visualization SQL, PowerBI, Tableau Machine Learning/AI Deep Learning Specialization, TensorFlow in practice specialization WORK EXPERIENCE

Machine Learning/AI Teaching Assistant Jan 2020 - present Johns Hopkins University

Holding review sessions. Answering student’s questions (both conceptual and programming) including but not limited to:

Processing, cleansing, and verifying the integrity of data based on business questions/problems.

Selecting features, building and optimizing classi ers using machine learning/deep learning techniques

Mathematical and statistical theories that underlie the foundations of big data and machine learning key components of AI

Product Manager Intern May 2019 - Jan 2020

Intel Corporation

Developed and deployed market research methodology (includes apply statistical model on market segmenting and survey scoping, design survey questions, visualize feedback data, etc.) to get insights of End User’s needs/pain points/buying cycle Strategy was presented and was approved by VP of Intel Data Center Group. Gained $500k funding and 4 hiring requisitions for launching platform in 2020.

Interfacing with di erent teams to communicate/prioritize product development and understand/balance needs in each domain.

Delivered PRD of test version of the digital platform. Marketing Data Analyst Intern June 2017 - Sep 2017 Daimler AG. Car2go China Co., Ltd

Updated customer database weekly with MySQL query.

Used R programming to visualize past traveling data of targets; Report output to marketing department for better selection of campaign location. The insights increasing monthly new registered about 140%.

Applied principle component regression to reduce the dimensionality of the behavioral features of customers; built upon clustering algorithm, generated clear report of ndings to help launch promotion models more e ciently.

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