Qingchun (Emma) Han

Address: Austin, TX Mobile: 302-***-**** Email:adhpd4@r.postjobfree.com

LinkedIn: https://www.linkedin.com/in/qingchun-emma-han-0638a3112/ SUMMARY

Business Analyst with strong statistics background and 3+ years of experience using predictive models and analytic skills to solve challenging business problems. Solid programming skills in SAS, SQL, and Python, strong attention to details and a significant ability to work in team environments. EXPERTISE AND SKILLS

• Programming: SAS, SQL, Python (scikit-learn, pandas, NumPy), R

• Statistics Analysis: Hypothesis Testing (A/B, MVT), Statistical Model Development and Validation

• Machine Learning: Decision Tree, Random Forest, Classical & Penalized Regression Methods (Lasso, Ridge), K-Nearest Neighbors (KNN), Principal Component Analysis (PCA), K-means, Regularization

• Software: Microsoft Office Suite, Tableau, Spark, Google Colab PROFESSIONAL EXPERIENCE

Barclays US Bank, Wilmington, DE

Credit Strategic Analyst May 2019 – Present

• Evaluated and forecasted 5-year P&L on new accounts of brand/co-brand credit cards/personal loan using machine learning based valuation model.

• Collaborated with Strategy, Risk, MIS, and finance teams to build monthly monitoring reports using Tableau and investigate the variance between actual and forecasted P&L.

• Managed and amended credit risk models, including ongoing performance validation and model documentation adjustment to meet model risk governance requirements.

• Developed and maintained automation simulation tools of Underwriting Strategy to evaluate the profitability of any potential change in current credit strategy. Marketing Strategic Analyst Jan. 2018 – Apr. 2019

• Analyzed hundred thousands of demographics and behavioral data using various analytical and reporting tools (e.g., SAS and SQL).

• Designed Acquisition Test (A/B, MVT test) for brand/co-brand credit cards and personal loan in order to optimize Acquisition offers.

• Leveraged SAS, SQL, and MS office analytics tools to read Acquisition Test results and provided business recommendations via analyzing both profile and revenue related key indicators (KPIs).

• Refactored and maintained acquisition testing framework and online test database platform. DuPont Stine-Haskell Research Center, Newark, DE

Statistical Analyst Sept. 2017 – Dec. 2017

Statistical Analyst Intern June 2016 – May 2017

• Managed and analyzed field trial data in SAS, using mixed models, logistic regression, and multinomial logistic regression.

• Prepared both automated and customized reports and presented results to non-technical audience.

• Preformed ad-hoc analysis and data manipulation based on the requirements of clients.

• Evaluated claims from external clients with analytical models that saved $85 million.

• Processed highly correlated data sets using PCA and multinominal logistic regression and resulted in saving funds for future experiments.

• Designed and developed R-based data visualization interface aids non-statisticians to analyze data. PROJECTS

Banking Customer Churn Prediction and Analysis Aug. 2020

• Analyzed customer churn data and developed predictive model using Python to forecast churn probability for telecommunication service vendor.

• Preformed exploratory data analysis, including data cleaning, correlation analysis and standardization.

• Trained supervised machine learning models, including logistic regression, random forest, and KNN.

• Evaluated the model performance via K-fold cross-validation and confusion matrix, and identified the feature that affects the result most by analyzing feature importance. Customer Reviews Analysis and Topic Modeling Sept. 2020

• Performed clustering analysis in Python to discover the latent semantic structures on customer reviews data.

• Preprocessed review text by tokenization and stemming, and leveraged Term Frequency - Inverse Document Frequency (TF-IDF) to extract features.

• Trained unsupervised learning models, including K-means and Latent Dirichlet Allocation.

• Clustered reviews into groups and identified latent topic and keywords of each review. EDUCATION

University of Delaware, Newark, DE

• Master of Science: Statistics Sept. 2015 - May 2017

• Bachelor of Science: Mathematics and Economics Sept. 2011 - May 2015

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