Hao Wang

Hao Wang Email and Phone Number

Chief Scientist @ Babytree Inc
Beijing, China
Hao Wang's Location
Beijing, China, China
Hao Wang's Contact Details
About Hao Wang

宝宝树BIG团队,全称Babytree Insight Group,是公司一个独立的大数据团队,充分利用和深度挖掘八年积累下来的母婴行业优质海量数据,打造泛母婴行业的价值挖掘机。 招聘职位:自然语言处理算法工程师算法/数据挖掘工程师资深数据分析师高级数据产品经理数据工程师 More JD/JR @ http://note.youdao.com/share/?id=7c6ae2455980d6115c02577ea44ebc42&type=note工作地点:北京东三环:地铁10号线/6号线呼家楼站 或 10号线团结湖站简历投递: 王浩 wanghao@babytree-inc.com -------------------------------------------------------------------------------------------------------Work in beautiful data, play in colorful life. Strive for recognition as a data scientistSpecialties: Deep data analysis and miningMachine learning, specially all kinds of classification and predictionRecommendation systemCollective intelligent algorithmUser behavior understanding and modeling

Hao Wang's Current Company Details
Babytree Inc

Babytree Inc

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Chief Scientist
Beijing, China
Website:
babytree.com
Hao Wang Work Experience Details
  • Babytree Inc
    Chief Scientist
    Babytree Inc
    Beijing, China
  • Babytree Inc
    Chief Scientist
    Babytree Inc Jan 2013 - Present
    Beijing
    Leading and cooperating with the data and algorithm engineers, to intelligentize all front-end products, monitor back-end data reflections, and form the effective cycle. Our works are definitively driven by meaningful and executable results from deep while multidimension data analysis on user behaviors, including where they come from, to what landing pages of diverse web products, what they do and interact with our personalized page contents and why they return or leave the website… Show more Leading and cooperating with the data and algorithm engineers, to intelligentize all front-end products, monitor back-end data reflections, and form the effective cycle. Our works are definitively driven by meaningful and executable results from deep while multidimension data analysis on user behaviors, including where they come from, to what landing pages of diverse web products, what they do and interact with our personalized page contents and why they return or leave the website. The high level summarizations of the team's work are: 1. Open the channels and sources to attract large-scale new users to our websites.2. Provide the intelligentized/personalized webpages and content to serve our lovely users (pregnant woman or new mothers).3. Study user behaviors to increase user activities and help they to build online friendship while they are learning and sharing baby pregnant/caring knowledge.Bird view of our works including:1. Design, develop, test and delivery of large-scale systems for web traffic / user behavior analytics platform 2. Design, develop, test and delivery of machine learning algorithms/system to learn from user behaviors and interactions and support all lines of the intelligentized/personalized products3. Analyze large sets of data using data mining techniques and formulate project ideas and strategies using data driven approaches.Have a glance at our work at http://home.babytree.com/u/223808/j/11646204If interested? Our team are now hiring data mining engineers, please find info. at http://weibo.com/1658771391/z08a99BGW Show less
  • Babytree Inc
    Team Leader Of Data And Algorithm Team
    Babytree Inc Oct 2011 - Present
    Beijing, China
    This team is driven by results from both data mining analysis and product performance.
  • Babytree Inc
    Engineer Of Algorithm And Data Mining
    Babytree Inc Jul 2011 - Present
    Beijing, China
    In Babytree.com, where Chinese parents share their love of children, family and life everyday, I am responsible for leading the team of Data and Algorithm to research, design and implement high performance algorithms for diverse products. From the perspective of collective intelligence, data mining and recommendation system, the team and I develop algorithms to perform user behavior analysis and understanding to refine products. We equally focus on developing algorithms to help Chinese parents… Show more In Babytree.com, where Chinese parents share their love of children, family and life everyday, I am responsible for leading the team of Data and Algorithm to research, design and implement high performance algorithms for diverse products. From the perspective of collective intelligence, data mining and recommendation system, the team and I develop algorithms to perform user behavior analysis and understanding to refine products. We equally focus on developing algorithms to help Chinese parents to beautifully organize, manage and classify their massive UGCs. The team is result-directed and we are happy to do a little work for parents during their recording, storing, sharing and discussing their love to the newborn babies. Show less
  • Nokia
    Post-Doc Researcher
    Nokia Jul 2009 - Jul 2011
    Beijing, China
    I am a post-doc researcher in Mobile Social Networking team, Nokia Research Center Beijing. My research interests include user behavior analysis and modeling in social networks and their social impact on business model understanding. Besides, I am also responsible for a people recommendation system that help users in social networks to expand their social circle.

Hao Wang Skills

Data Mining Social Networking Algorithms Recommendations Machine Learning Social Media Anti Spam Bayesian Methods

Hao Wang Education Details

Frequently Asked Questions about Hao Wang

What company does Hao Wang work for?

Hao Wang works for Babytree Inc

What is Hao Wang's role at the current company?

Hao Wang's current role is Chief Scientist.

What is Hao Wang's email address?

Hao Wang's email address is al****@****ail.com

What schools did Hao Wang attend?

Hao Wang attended Wuhan University, East China Jiaotong University.

What are some of Hao Wang's interests?

Hao Wang has interest in Running, History Book, Tennis, Biography, New Tech, Dialogue Program.

What skills is Hao Wang known for?

Hao Wang has skills like Data Mining, Social Networking, Algorithms, Recommendations, Machine Learning, Social Media, Anti Spam, Bayesian Methods.

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