Data Analyst Manager

Heather Huang M. S.

510-***-**** *********@*****.*** LinkedIn GitHub Newark, CA

Objective

As a highly motivated and detail-oriented data analyst with solid background in statistics and analytics, I am seeking a Data Analyst position using statistical fundamentals and analytics tools to identify key business levers, perform analysis and facilitate business decision making process. Education

California State University East Bay M.S. in Statistics (Data Science) GPA:4.0 May 2020 Massey University Postgraduate in Business Administration Aug. 2012 Northwest University of Politics and Law B.A. in Finance Jun. 2011 Skills

Software: Python, Spark, Tableau, R, SQL, Jupyter Notebook, Excel, Shiny, etc.

Data Process/Vis: ETL, PySpark, NumPy, pandas, tidyverse, ggplot2, plotly, matplotlib, seaborn.

Machine Learning: Sklearn, PyTorch, Scipy, Random Forest, Decision Tree, KNN, CNN, TensorFlow.

Analytics: Data Mining, ANOVA, A/B Testing, Multivariance Testing, Marketing Product Analysis, etc.

Major Courses: Statistical Machine Learning, Applied Deep Learning, Advanced Program for Data Science, Data Visualization, Probability and Statistical Theory, Statistical Methods, Analysis of Variance. Work Experience

Data Analyst in California State University East Bay, Hayward, CA. Aug. 2019 – Present

Define key data metrics, perform data extraction, transform and loading from student online database.

Assess data distribution to identify trends/patterns, performance metrics and sources of variance.

Perform full stack data analysis to generate business insights for strategic business decision-making.

Influence decision-makings by developing quantitative analysis, automated tools, reports and dashboards.

Present findings and actionable recommendations via data visualization using R’s ggplot2 and Tableau. Graduate Tutor in California State University East Bay, Hayward, CA. Aug. 2019 – May 2020

Communicate findings from analysis performed to tutors and students to improve tutoring experience.

Develop training materials for tutor community and handouts for students.

Provide tutoring on various subjects, Statistics, Algebra, Calculus, Probability, R, Python, SQL, etc. Account Manager in Andrews Buck Ltd, Auckland, New Zealand, Jan. 2012 – Apr. 2013

Coordinated with internal and external partners to gather and vet information.

Used data analytic tools to forecast inventory and established marketing strategies for various customers.

Created monthly dashboard report on sale trends, marketing effectiveness, customer retention.

Presented reports to stakeholders including leadership and X-functional teams. Data Science Projects

Movie Recommendation System

Performed data wrangling and cleaning from MovieLens data and split training data and test data 70/30.

Generated latent representations for user and movie matrixes by applying matrix factorization from training movie ratings.

Optimized regularization parameter, # of features to avoid fitting issues and achieved ~85% accuracy. Lending Club Loan Default Prediction

Collected data from Lending Club website and split training and test data set by 75/25.

Optimized variable selection by using Boruta algorithm and selected 10 best features.

Fitted model with Logistic Regression, KNN, Decision Tree, C50, Naïve Bayes, Random Forest and Multiple Linear Regression (with 10-fold cross validation).

By comparing Accuracy, AUC and ROC curves, Random Forest is the best model with 97.19% accuracy.

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