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Data scientist with a strong background in statistics and machine learning. Skilled in Mathematical Modeling, Signal Processing, Statistics and Python. Proven ability to manage multiple projects with critical deadlines. • Machine Learning: classification, regression, clustering, uplift modeling, feature engineering• Statistical Methods: regression models, hypothesis testing and confidence intervals, principal component analysis and dimensionality reduction• Signal Processing: biosignal processing, speech/acoustic processing• Software and Programming Languages: Python, R, SQL, Matlab, Linux, LaTeX • Language: English, Chinese
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Data Science ManagerWayfair Aug 2020 - PresentBoston, Ma, Us -
Senior Data ScientistWayfair Jun 2018 - Jul 2020Boston, Ma, Us• Developed customer-level incrementality models using uplift modeling and causal inference, drove 28% lift in incremental revenue in direct mail marketing• Created personalized remarketing strategy using machine learning to increase customer engagement and conversion• Developed model automation pipeline and engineering coordination to set up program to scale easily across multiple geo&brands. -
Research ScientistBoston University Mar 2016 - Jun 2018Boston, Ma, Us• Trained and validated regression and classification models (logistic regression and SVM) on human data to identify listeners with "hidden" hearing loss• Designed and implemented speech processing algorithms (spectral analysis, feature engineering) that lead to improvements in speech understanding in noisy environments• Developed novel measurements (EEG) for diagnosing “hidden” hearing loss (led to patent application)• Recruited, trained and mentored research assistants for multiple research projects -
Postdoctoral AssociateBoston University Oct 2012 - Feb 2016Boston, Ma, Us• Lead an EEG project on autism, designed experiments for data collection, performed data cleaning and refinement for analysis and identified a biomarker (EEG) for auditory processing deficits in adolescents with autism • Created data analysis pipelines in Python using computing clusters and greatly reduced analysis time for large datasets (high density EEG) -
Graduate Student In Biomedical EngineeringBoston University 2006 - 2012Boston, Ma, Us• Developed classification models using various distance measures to classify complex sounds (bird songs)• Developed mathematical models of auditory neurons and provided new interpretations for neural responses to envelope modulations in sounds• Collaborated with neurobiologists and developed modeling frameworks for hypothesis testing to validate data and interpretations -
Graduate Student ResearcherZhejiang University 2002 - 2005杭州Hangzhou, 浙江Zhejiang, Cn• Developed a machine learning algorithm using multi-layer neural networks and evaluated its performance in image recognition applications (barcode and hand-written digits) -
Summer InternZhong Rui Technology Ltd. Jun 2004 - Aug 2004• Developed software (C++) for a highway speed monitoring system based on image processing
Le Wang Skills
Le Wang Education Details
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Boston UniversityBiomedical Engineering -
Zhejiang UniversityBiomedical/Medical Engineering -
Zhejiang UniversityBiomedical/Medical Engineering
Frequently Asked Questions about Le Wang
What company does Le Wang work for?
Le Wang works for Wayfair
What is Le Wang's role at the current company?
Le Wang's current role is Data Science Manager at Wayfair.
What is Le Wang's email address?
Le Wang's email address is lw****@****air.com
What schools did Le Wang attend?
Le Wang attended Boston University, Zhejiang University, Zhejiang University.
What skills is Le Wang known for?
Le Wang has skills like Signal Processing, Matlab, Biomedical Engineering, Machine Learning, Mathematical Modeling, Statistics, Latex, Image Processing, Algorithms, Data Analysis, Labview, Experimentation.
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