Financial Analyst Python

Yanwen(Wendy) Cheng

**** ******* *** #*** • Herndon, VA 20170• 540-***-**** • adiol3@r.postjobfree.com • LinkedIn WORK EXPERIENCE

Smithfield Foods Blacksburg/Smithfield, VA

Capital Project Consultant September 2019 - July 2020 Evaluated and ranked Smithfield capital projects to assist managers in making decisions on operations

● Designed and implemented Python scripts to clean data and train SVM and Logistic Regression models.

● Evaluated over 1500 capital projects. Decided the key features in determining the need for prospective capital projects.

● Combined different scales Net Present Value, Internal Rate of Return, Payback Period to rank existing projects.

● Applied Monte Carlo simulations to simulate and optimize the allocation of project capital.

● Created the Marcos on Excel by VBA programming for customers to get the project estimation results. WordCube Inc. Blacksburg/Reston, VA

Business Development Analyst Internship February 2020 - April 2020 Developed supervised learning models using Python to forecast over 3000 potential customers.

● Created customer segmentation by using PCA to capture the maximum variance and reduce the dimensionality of data.

● Imported and Trained Sklearn models including Logistic Regression, Random Forest, and K-Nearest Neighbors.

● Used Grid Search to Find Optimal Hyperparameters for the three models.

● Evaluated the performance by using ROC AUC as the metric. Virginia Tech Pamplin College of Business Blacksburg, VA Graduate Teaching Assistant - Business Information Technology: Operations and Supply Chain August 2019 – May 2020

• Responsible for grading assignments, quizzes, and exams PROJECTS

Your Next Home - Home Goods Shopping Platform May 2020 – October 2020

● Implemented and managed a Java back-end server with RESTful APIs using Sprint Boot and Maven.

● Used Hibernate to map object-oriented models to PostgreSQL deployed on Docker for easy migration.

● Supported User login function by implementing stateless authentication and authorization through servlet filter and JWT.

● Transformed product storage service to AWS Simple Storage Service (S3) to increase the web scalability and security.

● Developed microservices for Product Ordering and User Notification System using AWS Simple Queue Service (SQS) for asynchronous messaging between software components.

● Performed Unit Testing with Mockito to create mock objects and test behavior of file upload and message queue services.

● Deployed application to Tomcat, a servlet engine in J2EE standard. Managed version control with Git.

● GitHub: https://github.com/WendyCheng1210/YourNextHome Movies Performance Analysis on IMDb February 2020 – May 2020

● Wrote Python scripts to automatically accessed and retrieved 4000+ movies metadata through IMDb API.

● Applied NumPy and Pandas to perform categorical feature exploration and data cleaning.

● Trained Random Forest and Linear regression models with PyTorch and evaluate models using cross-validation.

● Visualized and compared models with Matplotlib and achieved 70.2% accuracy with the Random Forest model. Customer Churn Prediction in Telecommunication Industry using Machine Learning August 2019 – December 2019 Developed supervised learning models using Python to forecast over 5000 customers' future subscribing behavior

● Performed data cleaning, feature transformation, and feature correlation to the customer churn dataset from Kaggle.

● Imported and Trained Sklearn models including Logistic Regression, Random Forest, and K-Nearest Neighbors.

● Used Grid Search to Find Optimal Hyperparameters for the three models.

● Analyzed the precision, recall, and accuracy and achieved the 68.2% accuracy in the Random Forest model. EDUCATION

Virginia Tech

M.S. Business Administration with a concentration in Business Analytics August 2019 - July 2020 Relevant Coursework: Managerial Statistics, Applied Business Intelligence, Data Visualization Analytics GPA:3.53/4.0 Virginia Tech

B.S. Business Information Technology August 2015 - May 2019 Secondary Major: Finance - Investment Management and Chartered Financial Analyst GPA:3.62/4.0 RELEVANT TECHNICAL SKILLS

● Analysis Techniques and Tools: Regression Analysis, Decision Tree, Random Forest, Principal Component Analysis, Hypothesis Testing, TF-IDF analysis, K-Nearest Neighbors, JMP(SAS), Tableau, Financial Modeling

● Development: Java, JavaScript, Python, AWS, Spring Boot, Hibernate, React Native, PostgreSQL, Docker, Linux Bash, Maven, JSON, Junit, Mockito, Git, VBA, Postman

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