WEN-CHUAN CHANG (SELINA)

**** * ** **, ********** DC, 20037 • 202-***-**** • adc9om@r.postjobfree.com • Linkedin • GitHub PROFESSIONAL PROFILE

• Experienced analytics professional with machine learning, statistical programming, and predictive modeling.

• Strong mathematics, statistics and computational skills based on background in Physics and Data Science.

• Detail oriented, creative problem solver with 5-years experience from R&D research in the semiconductor industry with proven track record of achieving successful data driven analytical solutions.

• Experienced in successfully managing projects and providing high quality analytical solutions to customers. SKILLS

Programming :SQL, R, Python (xgboost, scikit-learn, Pytorch, TensorFlow, NLTK, gensim) Data Science :Machine Learning, Deep Learning, Pattern Recognition(CNN), Natural Language Processing(NLP) Machine Learning :Neural Networks, SVM, Decision Trees & Ensemble Learning, Naïve Bayesian, Clustering Statistics :Linear Regression, Logistic Regression, Lasso Regression, Bayesian Inference, Multivariate Model Software :AWS, GCP, Tableau, Stata, Linux (High Performance Computing) WORK EXPERIENCE

Freddie Mac, McLean, Virginia

Quantitative Analytics Intern in Single Family MEDA group Jun 2019-Aug 2019

• Build Model: Built machine learning models that incorporated various text mining techniques to improve current financial service model used for reducing mortgage application time.

• Analyze: Evaluated different machine learning algorithms such as Random Forest, SVM, and Neural Networks using scikit-learn and TensorFlow in Python to enhance decision-making and automate processes.

• Provide Solutions: Provided solutions to extract features from textual financial records by deploying Word2vec algorithms using gensim.

• Communicate: Successfully presented results and findings of mortgage model to senior management and paved a solid foundation for the second line of defense in internal validation.

• Build Data Pipeline: Built data pipelines to enable automated flow of data for further analysis and visualization. United Microelectronics Corporation (UMC), Pasir Ris,Singapore R&D Engineer in Semiconductor Jun 2013-July 2016

• Develop: Pioneered a stable manufacture process to bring 55nm non-volatile memory (NVM) into mass production.

• Analyze: Created data-driven analytical solutions on a strict time constraint to enable trials to be run on the NVM chip in the first quarter of production in 2017.

• Communicate: Coordinated multiple design groups to drive process improvement and increase yield up to 90%.

• Patent: Semiconductor device and manufacturing method thereof (US9583641 B1). eMemory Technology Inc., Hsinchu, Taiwan

R&D Engineer in Semiconductor Jun 2011-May 2013

• Project Management: Administered NeoMTP projects for various clients’ technology generation to implement into different product such as wireless chargers, touch panels, MCUs etc.

• Analyze: Evaluated the reliability of NeoMTP by designing experiments to provide the scale of operation.

• Communicate: Provided IDM customers with technological service to adopt NeoMTP into customer platforms.

• Patent: Logic-based Multiple Time Programming memory cell (US8958245 B2). EDUCATION

The George Washington University, Washington D.C.

Master of Science in Data Science Dec 2019

• Modeling, Big Data and Machine Learning, GPA:3.85 National Tsing Hua University, Hsinchu,Taiwan

Master of Science in Physics Aug 2009

• Thesis: Electrical Analysis of Nano-channel Transistor, GPA:3.72 National Dong Hwa University, Hualien,Taiwan

Bachelor of Science in Physics Feb 2007

• Graduated 3rd in class, GPA:3.67

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