Jun Yuan

Experience

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  Axxerion B.V.

  Jan 2011 - Jan 2012

  Software Engineer - J2EE Java Developer

  Axxerion is a hosted-service (SaaS) that enables employees, partners, suppliers and clients to collaborate on business processes via Internet. Axxerion offers integrated modules for CRM, requests managements, project management, space management, maintenance, contract management, purchasing and inventory management.Axxerion is based on the latest Java J2EE technology, which enables support of almost all industry standard databases and hardware platforms. The design complies with a standard Model-View-Controller architecture and takes full advantage of technologies such as session beans, entity beans and transactions. All graphical interaction for designing workflows or annotating documents is implemented using Java applets Show less

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  Imperial Tobacco

  Jan 2012 - Jan 2018

  Responsible for Group CRM SALESFORCE integration with various Group applications such as SAP, LOGISTA, Siebel and BI by Enterprise Service Bus (ESB) and Microsoft SSIS technologies. Major responsibilities:* Responsible for communicating with internal business clients (Imperial), gathering, analyzing and filtering customer requirements; Define project requirement scope;* Design SALESFORCE data model for integration purpose. Budget and quality control for salesforce hub integration projects.* Manage project financial budget of offshore consultants (India) for development based on complexity of project: requirement scope, data volume, system complexity and ETL complexity etc.* Responsible for managing project plan and development process of consultant; Coordinating resources availabilities (Imperial and India) in whole project phase and reducing the project quality risk.* Responsible for implementation code review & inspection and ensure smooth delivery of the project on-line. * Coordinate and train Service Delivery department resources in the initial on-line stage. Responsible for project quality of delivery Show less The overall aim of the Imperial BI project was to help Imperial Tobacco, whose quantities of brands include Davidoff, Gauloises Blondes, West, JPS and COHIBA to be a global enterprise.* Design and development of prediction analyze for Group Sales and Marketing head office: build predictive solutions for sales related data; implement mechanism to find correlations among potential tobacco consumer drivers which impact tobacco consumer sales; prediction of retailer’s sales volume, consumer sales (sales out), number of sales rep visit, order amount, free cigarette amount, contract payment amount and retail assessment amount; involve designing outlet intelligent recommendation system for rep visit. Guide data mining algorithm implementation and predictive model validation. Implementation platform: IBM SPSS, Python, SQL Server, Weka and Alteryx. * Implement BI backend ETL solution in Microsoft SSIS for global Business Intelligence solution. Responsible in reviewing code which are delivered by various vendors of Imperial Tobacco. Implement data warehouse model for BI Reporting purpose. Install and configure BI backend and frontend virtual server environment in Windows Server 2005, 2008 and 2012; Optimize and configure Microsoft SQL Server database. Show less

  • Solution owner/PM of Group CRM Salesforce integration

    Dec 2015 - Jan 2018

  • Business Intelligence Analyst

    Jan 2012 - Dec 2015
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  Teqplay

  Feb 2018 - Aug 2018

  Data Scientist

  Use various Machine Learning algorithms/technologies to perform supervised & unsupervised data prediction/analyze from multiple sources for port industry data.

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  ANZ

  Sept 2018 - now

  Product Owner of delivering in-house enterprise Process Mining application to improve bank process obstacles. Major responsibility on epics initiatives, priority initiatives, stack holders management, application implementation squad management, data build and analysis squad management, change request and compromise dependencies.

  • Product Owner

    Jun 2019 - now

  • Data Scientist

    Sept 2018 - Jun 2019