For the given job description <<Experienced Business Analyst in Telecom PromosAnalyze promo & defect data and create analyses & summarize as specified.Root cause analysesPreparation of training materials.Support process definitionDocumentation>> the resume: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Professional ExperienceSoftware Engineer of IoT Cloud,05/2014toCurrentBelvedere Trading–Boulder,CO,ChinaI work on the Salesforce IoT Cloud, a massively scalable event processing engine for realtime engagement and analytics.My main focus is that design and implement clusters provision and management for IoT cloud.1. Provision and manage AWS and Heroku resource, heavily involving Cloudformation, EC2, Auto-scaling and ELB, etc.2. Deploy micro-services, manage versioning, upgrading IoT platform properly, scale up and scale down micro-services when necessary. Micro-services that we support use Kafka, Storm, Spark, Cassandra, Kubernetes and so on.3. Find the best practice to store sensitive and critical information, for example, auth token, client secret.4. Customize platform when business needs dynamically, involving Jessicatabase migration, kafka migration, Cloudformation infrastructure upJessicate.We are now co-hosting workloads across 10K customers, batch transforming ~100MM rows of user Jessicata Jessicaily and real-time ingests 7 TB of events Jessicaily, ~80 MB/s sustained.Software Engineer,02/2014to05/2014Locket–City,STATE,Locket is lock screen app that will display image, content based your interests. It was selected by Google as one of "Best apps of 2014".I was mainly focusing on backend development, including intelligent content generation and display.Machine Learning Developer (Intern),05/2013to08/2013British Broadcasting Corporation (BBC)–City,STATE,1. Developed a face detection and recognition program in Java, implementing machine learning algorithms,e.g., eigenfaces (PCA) and fisherfaces (LJessica);2. Applied text mining techniques to subtitles to assist the facial identification of actors in TV programs;3. Achieved up to 98% accuracy rate on stanJessicard face Jessicatabases, e.g., ORL.
EducationMaster of Science:Computational Statistics & Machine Learning,Expected in2013toUniversity College London-London,GPA:Bachelor of Science:Electronic Commerce Computing,Expected inJun 2010toUniversity of Liverpool-Liverpool,GPA:
Technical SkillsProgramming: Java, Python, JavascriptBuilding tool: Gradle, MavenOps related: Puppet, Ansible, Saltstack, Docker, Kubernetes, Jenkins, BashOthers: AWS, Hibernate, Postgres>>. The result is, No Fit

Fit assessment: No Fit