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@microsoft.com
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4 phones found area 843, 860, and 212
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Stanley Wang is listed as Principal Cloud Solution Architect (Data & AI) at Microsoft at Microsoft, a company with 10 employees, based in New York, New York, United States. AeroLeads shows a work email signal at microsoft.com, phone signal with area code 843, 860, 212, and a matched LinkedIn profile for Stanley Wang.
Stanley Wang previously worked as Cloud Solution Architect (AI and AA), Principal at Microsoft and Big Data Architect， IT Director at Honeywell International. Stanley Wang holds Master'S Degree, Electrical And Computer Engineering from Rutgers University.
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AeroLeads found 2 current-domain work email signals for Stanley Wang. Compare company email patterns before reaching out.
20+ years of software professional experience. Lead in development of high performance enterprise distributed computing systems in the areas of Big Data Analytic, Semantic Graph, Machine Learning, Internet of Things, Business Intelligence, Enterprise Architecture and Framework, Customer Asset Management and Trading Platform.Core Competencies: Big Data Streaming Analytics and Ingestion, Operationalization of Machine Learning models, Build and Operationalize Data Lakes, Enterprise Data Integration, Cloud Computing Platform(MS Azure, AWS), Micro services with Spring Boot and Dockers, IoT Time-series & Event store applications, Build Product Roadmap, & Architecture Reference and Solution Artifacts.IOT: Expertise to design a modular, cloud agnostic, IOT platform; Skilled in designing and developing frameworks and service stacks to enable rapid development, management and scaling of IOT projects; Enterprise Solution Architecture: Work experience in building broad range of large scale distributed applications across various industries including investment banking, financial insurance, telecommunication, with a track record of successful high quality deliveries;Big Data Analytic: Full Stack Expertise in building distributed systems using state-of-the-art technologies including Hadoop, Spark, Storm, Kafka, NoSQL, Cassandra, ELK; Experience of implementing data driven solutions and research on large scale complex data sets using machine learning, graph, NLP and other modern techniques; Distributed Machine Learning Expertise: Solid academic background in machine learning, predictive modeling and quantitative analysis; Familiar with various machine learning algorithms; Excellent working experience with mapping real life business requirements into machine learning model and building production ready data science solution; http://www.slideshare.net/stanleywanguni
Listed skills include Telecommunications, Architecture, Business Analysis, Start Ups, and 33 others.
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A career timeline built from the work history available for this profile.
Redmond, Washington, US
Focus on life science and healthcare clients to expand Azure cloud service offerings; Drive the initiatives of applying Azure ML and AI services to solve the complex data science challenges faced by customers; Provide the technical guidance and support through architecture design session, customer workshop, technical summit, POC with the best practices in.
As lead data architect/technical lead in Honeywell connected enterprise business unit, working on cutting edge technology such as cloud based IOT big data analytic technical stack, micro services framework, artificial intelligence machine learning platform, streaming analytic, CEP, graph industrial asset management, etc.
New York, New York, US
As solution architect, technical lead, data engineer and scientist, across various IT divisions including Corporate Integration Development, Enterprise Java Competency Center, Enterprise Data Service, Architecture and Engineering to develop applications such as Big Data Streaming Framework, Knowledge Driven Compliance Platform, Customer Asset Management.
iNautix Direct Architecture and Infrastructure Division - Specialized in FIX-enabled Gateway, Online Trading, Quantitative Model, and J2EE Enterprise Architecture;Lead technology and engineering evaluation on acquisition of Washington DC based online asset management startup company; Played vital roles on architecture, design and implementation of iNautix.
Research on text mining, key word spotting using pattern recognition and classification technique such as logics regression, naïve bayes, decision tree, hidden markov model, ensemble learning in real life projects.Specialized in Telecommunication Intelligence Network Management System and Decision Support System.
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Bapi Pradhan
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Bhubaneswar, Odisha, India, India
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AS
Andugula Sneha
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Hyderabad, Telangana, India, India
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FQ
Firuz Qocayev
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Absheron District, Absheron - Khizi, Azerbaijan, Azerbaijan
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Jeffery Mei
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Shanghai, Shanghai, China, China
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Zack Rol
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Ontario, Canada, Canada
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R Abishek
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Veppanthattai, Tamil Nadu, India, India
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L- Brazuka
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Tulum, Quintana Roo, Mexico, Mexico
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Eladio Guzman
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Las Vegas, Nevada, United States, United States
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贺
贺晓明
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Wuhu, Anhui, China, China
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Quick answers generated from the profile data available on this page.
Stanley Wang works for Microsoft.
Stanley Wang is listed as Principal Cloud Solution Architect (Data & AI) at Microsoft at Microsoft.
AeroLeads has found 2 work email signals at @microsoft.com for Stanley Wang at Microsoft.
AeroLeads has found 4 phone signal(s) with area code 843, 860, 212 for Stanley Wang at Microsoft.
Stanley Wang is based in New York, New York, United States while working with Microsoft.
Stanley Wang has worked for Microsoft, Honeywell International, New York Life Insurance Company, Credit Suisse First Boston, and Bell Labs, At&T, Lucent Technologies.
Stanley Wang's colleagues at Microsoft include Soumya Vema, Bapi Pradhan, Andugula Sneha, Firuz Qocayev, and Jeffery Mei.
You can use AeroLeads to view verified contact signals for Stanley Wang at Microsoft, including work email, phone, and LinkedIn data when available.
Stanley Wang holds Master'S Degree, Electrical And Computer Engineering from Rutgers University.
Stanley Wang is listed with skills including Telecommunications, Architecture, Business Analysis, Start Ups, Software Development, Big Data, Java, and Investments.
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