Lei Zhang

VP of Engineering

United States15 yrs 3 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Led end-to-end data organization at Quince.
Developed large scale machine learning models using Spark.
Directed multiple data science teams across various domains.

Stackforce AI infers this person is a Data Science and Engineering leader with extensive experience in analytics and machine learning.

Contact

Skills

Core Skills

Data ScienceData EngineeringQuantitative Analysis

Other Skills

AIAnalyticsETL/ELT pipelinesML/AI OpsData AnalyticsETL processesData modelsReportingNLPCollaborative FilteringMachine LearningDeep LearningAWSDistributed machine learningOracle R Enterprise

About

I am an experienced leader in Data Science, Data Engineering, and Analytics with a strong passion for driving business impact through data insights, predictive ML/AI modeling, and optimization techniques. I am equally committed to fostering a supportive culture that prioritizes the growth and development of each team member.

Experience

Quince

VP, Data

Jul 2024 – Present · 1 yr 8 mos · Greater Boston · Remote

Builds and leads Quince’s end-to-end data organization (Data Science/AI, Data Engineering, and Analytics), driving measurable business impact across storefront, growth, product, and operations.
Data Science & AI: Personalization; recommendations & ranking; marketing measurement and performance optimization; network/routing optimization; AI agent applications; ML/AI Ops and production infrastructure.
Data Engineering: ETL/ELT pipelines; modern data platform; trusted, reusable data products.
Data Analytics & Experimentation: Company metrics and reporting; deep-dive insights; experimentation strategy and analysis; automated, contextual insights powered by AI.

Data ScienceAIData EngineeringAnalyticsETL/ELT pipelinesML/AI Ops+1

Gopuff

Sr. Director, Data

Jul 2021 – May 2024 · 2 yrs 10 mos · Greater Boston

Led a centralized Data Organization of approximately 50 skilled engineers and scientists across three primary functions:
Data Engineering: Developed optimized and scalable platforms and pipelines, facilitating ETL processes from diverse sources into a Snowflake data warehouse.
Analytical Engineering and Data Analytics: Constructed data models incorporating business logic, enabled comprehensive reporting, provided crucial business insights, and conducted ad-hoc deep-dive analyses.
Data Science: Directed five data science teams focused on various domains, including Search and Discovery, Adtech, Experimentation, Consumer Pricing, Demand Forecasting, Growth, Performance Marketing, and Driver-facing Delivery Tech.

Data EngineeringETL processesData AnalyticsData ScienceData modelsReporting

Rue gilt groupe

Director, Data Science

Dec 2016 – Jun 2021 · 4 yrs 6 mos · Greater Boston

Led and Managed the data science team of Rue Gilt Groupe.
Led data science projects and delivered end to end data science solutions to provide personalized shopping experience.
Provided content-based product recommendations on site using NLP.
Provided personalized product recommendations on site with Collaborative Filtering.
Developed large scale and distributed machine learning models using Spark.
Built deep learning models to extract attributes and embeddings from product images to enable visual similarity based recommendations, and build product taxonomy.
Developed cloud based infrastructure on AWS to support delivering data science solutions.

Data ScienceNLPCollaborative FilteringMachine LearningDeep LearningAWS

Oracle

Principal Member of Technical Staff

Feb 2013 – Dec 2016 · 3 yrs 10 mos · Burlington, MA

Oracle Advanced Analytics; Oracle R Enterprise (ORE); Oracle R Advanced Analytics for Hadoop (ORAAH; Distributed machine learning algorithms.
Developed Oracle R Enterprise (ORE), an analytics platform with R language at client side, and distributed statistics / machine learning algorithms and abstracted data objects at Oracle database server.
Developed Oracle R Advanced Analytics for Hadoop (ORAAH), an analytics platform with R language at client side, and distributed machine learning algorithms using Spark at Hadoop clusters.
Developed distributed machine learning algorithms including Random Forest, Association Rules, Time Series models, PCA, and Neural Networks (CNN) with Spark and etc.
Actively applied our analytics products for practical problems with large scale data.

Distributed machine learningOracle R EnterpriseSparkNeural NetworksData Science

Ubs investment bank

Quantitative Analyst

Jul 2010 – Dec 2012 · 2 yrs 5 mos · Stamford, CT

Rates desk quant, modeling Constant Maturity Mortgage (CMM); Rich/cheap analysis of treasury bonds; treasury yield curve building.
ABS/MBS desk quant, supporting RMBS, CMO, PassThrough desks;
Prepayment Modeling; Intex (Desktop, CMOWrapper), Loan Performance; Loan-level Surveillance; Risk and PnL calculation;
Structured Credit: Gaussian copula model; Weighted Monte-Carlo Based Relative Entropy Minimization for CDO calibration

Quantitative AnalysisModelingRisk calculation

Schlumberger doll research

Summer intern

Jun 2009 – Aug 2009 · 2 mos · Cambridge, MA

Developed an efficient 3D full-wave Contrast Source Inversion method (CSI) with a finite difference acoustic wave forward solver for reconstructing geological medium.

3D full-wave Contrast Source InversionFinite difference acoustic wave solver

Ansoft corporation

Summer intern

Jun 2008 – Aug 2008 · 2 mos · Greater Pittsburgh Region

Investigated all termination techniques (port, PML, surface conductive absorber) for optical guided structures with finite element method and integral equation method, to improve the port and PML in HFSS and prepare termination techniques for the future integral equation solver.

Finite element methodIntegral equation method