Fan Jiang

Fan Jiang Email and Phone Number

Head of Engineering, Core Machine Learning @ Atlassian
Mountain View, CA, US
Fan Jiang's Location
Mountain View, California, United States, United States
Fan Jiang's Contact Details
About Fan Jiang

Senior Engineering Manager manage a team of machine learning scientists and engineers, building AI infused solutions to boost user acquisition, growth recommendation, promotion message ranking and search relevance.

Fan Jiang's Current Company Details
Atlassian

Atlassian

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Head of Engineering, Core Machine Learning
Mountain View, CA, US
Website:
atlassian.com
Employees:
17621
Fan Jiang Work Experience Details
  • Atlassian
    Head Of Engineering, Core Machine Learning
    Atlassian
    Mountain View, Ca, Us
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  • Atlassian
    Senior Engineering Manager, Core Machine Learning
    Atlassian Oct 2020 - Present
    Sydney, Nsw, Au
    1. Initiated and built a cross-company digital marketing optimization platform, focused on driving net new customer growth. The platform integrates AI/ML-powered solutions to enhance bidding and budgeting efficiency, resulting in double-digit growth in user acquisition within the Go-To-Market, features an NLP-based keyword expansion engine, increasing market share by triple digits, and provides an interface empowering online marketers to streamline campaign management and operations for accelerated scalability. Pending patent: APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR GENERATING EXTERNAL SERVICE CANDIDATE COMMUNICATIONS WITHIN AN EXECUTABLE RESOURCE MANAGEMENT SYSTEM2. Pioneered and developed a large-scale multi-stage recommendation system to facilitate global messaging platform orchestration. Emphasized delivering relevant and prioritized notifications to appropriate users at optimal times and surfaces.Pending patent: CONTENT-CREATION TEMPLATE RECOMMENDATION SYSTEM FOR content collaboration service3. Directed the team to build low-latency dynamic personalization initiatives for content and user journey on web through real-time signals delivery, deep neural network algorithms, graph neural network embeddings, etc.
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  • Atlassian
    Engineering Manager, Core Machine Learning
    Atlassian Nov 2018 - Oct 2020
    Sydney, Nsw, Au
    1. Managed team size of 5 machine learning engineers to support Go-To-Market intelligence.2. Spearheaded the creation of customer lifetime value metrics, widely adopted by GTM to support investment ROI assessment. Published paper on Journal of Marketing Analytics: https://link.springer.com/article/10.1057/s41270-023-00234-63. Led the team to build advanced Machine Learning solutions for Atlassian Community feed integrity,personalized ranking, resulting in double digits growth in user engagement.4. Led the development of recommender systems within Confluence and Trello, including Confluence Follow Suggestions, Suggested Pages, and Smart User Search.
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  • Box
    Engineering Manager, Machine Learning
    Box Sep 2016 - Nov 2018
    Redwood City, Ca, Us
    1. People management contribution: mentored IC successfully in both technical and non-technical skills and led to recent promotions.2. Core contributor of Brain, a recommendation and sales workflow automation engine. Released multiple marketing campaigns to support small emerging business segment for freemium conversion and customer upselling strategies. 3. Drove end-to-end implementation and engaged stakeholders for multiple stand-alone data products, including scalable web scraping services and in-app message. 4. Web personalization: customized landing and leads form page.
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  • Smartzip
    Senior Data Scientist
    Smartzip Jul 2014 - Sep 2016
    Sarasota, Fl, Us
    1. Released SmartTargeting (patent: US20150356576A1), a prioritization system to help real estate agents to identify the propensity score for properties to be listed or sold in next month.2. Improved Automated Valuation Model to measure the value of home which is used by a few leading real estate website in the U.S.
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  • Comrise
    Data Scientist
    Comrise Jun 2013 - Jul 2014
    Woodbridge Township, New Jersey, Us
    Invented and developed RT-Fit(Patent: US8818910B1), a scalable computer-based system for prioritizing a list of job candidates for any job opening(s) with a hiring firm. - Patent inventor, team leader, and main developer to the back-end algorithm and data flow.- Interfaced with the API of Applicant Tracking System using Python, and extracted candidate information with MySQL.
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  • Kmk Consulting Inc.
    Data Science Intern
    Kmk Consulting Inc. Nov 2012 - May 2013
    Morristown, New Jersey, Us
    1. Established various achievable and motivational goals for different representatives based on the previous sales data, while considering the national constraining factors, etc.- Utilized SAS to do cluster analysis and create predictive time series and transferred linear regression.- Evaluated models through rolling out-of-sample prediction error rates; forecasted future sales goals.
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  • National Bureau Of Statistics Of China
    Statistician Of Economic Statistics Division Intern
    National Bureau Of Statistics Of China Sep 2011 - Nov 2011
    1. Contributed to the creation of the national IDI (China’s Information Development Index) survey.- Collected 41 countries’ information of the Infrastructure Construction and Intellect Support Index.- Parsed and cleaned data using EXCEL, as well as performed parameter estimation of the algorithms.
  • Tx Investment Consulting Co., Ltd
    Certificated Consultant Intern
    Tx Investment Consulting Co., Ltd Jul 2011 - Sep 2011
    1. Estimated the equity shares every week using regression method, and achieved MATLAB programming

Fan Jiang Skills

Data Mining R Statistics Sas Programming Sas Python Time Series Analysis Data Analysis Oracle Modeling Big Data Microsoft Excel Databases Text Mining Sql Ecl Machine Learning Statistical Modeling Sas Base

Fan Jiang Education Details

  • Cornell University
    Cornell University
    Applied Statistics
  • Beijing Institute Of Technology
    Beijing Institute Of Technology
    Information And Computing Science
  • Hangzhou No.2 High School
    Hangzhou No.2 High School

Frequently Asked Questions about Fan Jiang

What company does Fan Jiang work for?

Fan Jiang works for Atlassian

What is Fan Jiang's role at the current company?

Fan Jiang's current role is Head of Engineering, Core Machine Learning.

What is Fan Jiang's email address?

Fan Jiang's email address is fj****@****zip.com

What is Fan Jiang's direct phone number?

Fan Jiang's direct phone number is +194941*****

What schools did Fan Jiang attend?

Fan Jiang attended Cornell University, Beijing Institute Of Technology, Hangzhou No.2 High School.

What are some of Fan Jiang's interests?

Fan Jiang has interest in Table Tennis, Piano.

What skills is Fan Jiang known for?

Fan Jiang has skills like Data Mining, R, Statistics, Sas Programming, Sas, Python, Time Series Analysis, Data Analysis, Oracle, Modeling, Big Data, Microsoft Excel.

Who are Fan Jiang's colleagues?

Fan Jiang's colleagues are Miriam Morgan, Manasa K C, Jean-Claude Ngalamulume, Ramya B, Emma Hodsdon, Raj Sahu, Anouar Zaim.

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