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__label__1.0 , Project Mitsubishi UFJ Financial GroupI facilitated cocreation workshops Aug 27 Oct 12 Nov 19 with the client to explore their needs and goals pivoting as new information was discovered AMQ to MQ progressing the client through the Garage journey I helped create the Mural and strategy Aug 25 26 Oct 11 Nov 18 for the workshops and participated in debrief calls after each workshop Aug 28 Oct 13 Nov 20 I then helped write the DOU that was sent to the client Nov 22 24 29 30 Dec 1 to take the engagement into MVP build Client has embraced the cocreation mentality and expressed their satisfaction with the processClient has progressed to MVP buildExpected business value of services is 90kExpected business value of software was 90k but due to the pivot AMQ to MQ as a result of using the Garage methodology this number will increase ISC has not yet updated the projection __label__1.0 , tAs Garage lead delivered IBM internal projects based on IBM Garage methodology on prediction model for weekly monthly and quarterly Global Delivery Labor hour utilization Car Accident Severity Prediction model The model for these projects were built on Seasonal Arima logistic regression respectively and with backend coding done in python and frontend dashboard visualization developed in QlikSense and Tableau As Garage lead also delivered NextGen solution iSolveChat based incident management using machine learning API Calls Webhooks The solution solved incident based on same resolution as similar incidents from past Support Vector machine classification KMeans clustering machine learning models were was used to categorize find the similar incidents from past iSolveChat based incident management generated lot of interest in client and was very well appreciated Discussions are ongoing to productionalize the solutionPrediction model for utilization is being used within IKEA account __label__1.0 , Business Problem1 Lack of enterprise data inventory governance Access to quality data timely2 Adopt mainstream technologies for longerterm sustainability innovation3 Modular platforms services for composable businesses4 Automated data operations by providing curated data pipeline with quality governanceScope CP4D RHOCP AI application Data Architect and Data GovernanceSuccess Criteria The client agrees to proceed with IBM proposed CP4D solutionObjectiveKeep the team on the same page using MLOPS to be our engagement topic for clientScoping down our POC and get the teams approval for the next action building our assetAgreementTG and the Brand team will build a serverless model bundled with cp4dThe first client engagement will happen at the end of JulyActionThe client team will contact the client and make sure if there will be one or two separate meetings to introduce TGStart construct teamwork with TG Brand teamTG will need to prepare an open deck to introduce TG 1 AI model management proposal got Client Leader approval2 The first client engagement with CTBC will happen at the end of July3 Scoping down our POC or MVP and get the teams approval for the next action building our asset __label__1.0 , I have been using the Garage Methodology for the last 2 years First using main elements as suitable in Cloud Pak for Acceleration Team and more actively leveraging it this year in both my roles as CSM and Solution Architect in Client Engineering previously known as Technical Garage I have worked on multiple projects during these two years often in project lead capacity as well Mostly in presales so I have the most experience in cocreate and coexecutive phases It is difficult to list all my specific contributions without knowing what this prompt is asking for so apologies if my reply is as vague as the question is So focusing on my latest ongoing project We have started with a Business Framing workshop working with the client Here we focused on understanding the business and technical landscape pain points challenges decided on initiatives and formulated a business statement in form of a problem and solution hypothesis etc I colead this workshop planning codesigning the workshop activities facilitating etc Then we worked on Discovery understanding the requirements mapped the asis and I have run out of space email or slack me for more details During these 2 years together with my teamsquads we have successfully completed multiple MVPs leading into sales Many more opportunities have been explored this year building strong relationships with our segment 1 clients and showing them the art of possible demonstrating the value of Garage Methodology and IBM capabilities both technical and skillswise Few of these opportunities are now in the build stage and getting ready to be scaled turned into sales and many of these are being turned into further MVPs While I dont know the exact number for this year last year I contributed to 130 000 in software sales by working on multiple short projects Most of these projects leveraged Garage Methodology __label__1.0 , In the Contiguous Integration and Continuous Delivery CICD pipeline design and implementation for deploying microservice application to IBM Cloud Private ICP project 092018 112018 IBM Garage team needed to build a Kafkabased microservice pilot application for State Street Corporation httpswwwstatestreetcomhomehtml This project adopted IBM Garage methodology and followed IBM Garage practices I was in development team role and responsible for CICD pipeline design and implementation for microservice application deployment to ICP After MVP1 I delivered UrbanCode based CICD pipeline that is used for microservice application deployment to ICP All microservice projects use this CICD pipeline to deploy code to target ICP Our team demonstrated the built application with planned user scenarios to all stakeholders Client appreciated the outcome and agreed to continue the project to next MVP __label__1.0 , As a garage leader on Q2C Transformation team I am accountable for identifying suitable projects mobilizing resources and transformation delivery across Q2C domain for Services Cognitive brands My vision is to be the garage goldstandard for FO with talent that can also generate revenue Scaling responsibly is key and reskilling and establishing a learn by doing mentality is central to our longterm successEducation Garage Explorer badge mandate For quarterly Think Days I provided 8 YL hours of videosseminars hands on learning and testimonials on how to apply Garage and reaping business benefits remotelyReusable assets Delivered Q2C playbooksjob aides for Mobilize CoCreate phases sample agendasdeliverables for usage across the Q2C domain Defined new CBM for commercial use with clients Managing Talent curated high potentials via garage shadowing program recommended curriculumbadges coaching growth mindset to accelerate our ability to scale Adjacencies Led a DI event Hispanic Heritage Month and introduced Garage to IBMers and CEO of SHPE to educate recruit BIPOC early professional hires into IBM We expect to have a successful 2021 Overall my garage successes are within Envisioning the Opportunity steps and CoCreate and CoExecute phases For modest investments and using Garage we are able to work smarter and still generate humancentered outcomes As part of interface team Im able to derisk our investments by prioritizing business opportunities work smarter while still generating humancentered outcomes Our business sponsors are more informed and enthusiastic With ourinternal customers Initiated garage for Enterprise CLM prototype CoCreate for CET2020 For Cloud Cognitive SW we saved 250K on consultants by delivering 12wk prototype on Salesforce platform to generate incremental revenue clients Partnering with IBM Research to develop an app stack IW that GBS is bringing to market and will be first monetized with our Distribution clients Successfully negotiated revenue 100K for Q2C SMEs to bolster skills reinvigorate existing HLS garage te