SlideShare una empresa de Scribd logo
1 de 28
My Portfolio 1
Work Samples

September 2012




Prepared by:
Siddharth Ghule
Project Name
Cart and Checkout
Shopping Cart Design   Cart and Checkout
Checkout Design   Cart and Checkout
Thank You page Design   Cart and Checkout
Project Name
Buy a Look
Product Page   Buy a Look
Project Name
Quickpick
Catalog Page   Quickpick
Catalog Page   Quickpick
Project Name
COMPASS
Competitive analysis (Best of breed audit)                                 COMPASS

 Criteria for Audit:
 Navigation            Representation of Data   Efficiency & Flexibility   Interaction
User Profiling                                    COMPASS

  Purpose of user profiling:
  To create precise definitions of user groups
  where the basis of distinction between each
  user group becomes a valuable distinction for
  DESIGN purposes
User Goals                                       COMPASS

  User goals
  To define who has what goals in
  order to validate the distinctions between
  user groups and to place tasks in context of
  goals.
High level process and task flow   COMPASS
Detailed task flow (Activity diagram)   COMPASS
High level design (Low Fidelity Wireframes)    COMPASS

  Concepts exploring Navigation and features
  (Information architecture)
Detailed design (High Fidelity Wireframes)   COMPASS
Functional specification (Development support)   COMPASS
Project Name
PROFIT VIEWER
Which problem to handle?                                                                                        PROFIT VIEWER

 Tree map
 Area represents the rate of change of
 variable                                                                Color key                                                  Violating soft limit
                                                                                                                           Normal
 Color indicates weather the variable is
                                                                                          Violating limit
 reaching the constrains or has crossed the
 limit


 High rate of change of variable X Variable reaching
 limit = means variable need attention

                        “Can you figure out what all variable needs attention ?”


                                                                                                                T01a_ctl



                                                                                Sample TK




                            Demethanizer
                              Pressure            ISRX_CTL1


                                                                                                                t01b_ctl




                                                                               NOVA_SIM



                                                                                                                t01c_ctl




                                 T01c_opt            ISRX_CTL2

                                                                 NOVA_SIM_09                        T02c_opt2
How can I solve the problem?                                 PROFIT VIEWER

 Bullseye view
Distance from the center corresponds to:
how strongly a particular variable will
effect the another variable at the center.


More the distance of a variable from the Center
Variable (at the center of the bullseye): greater is the
effect.




      These CV will most effect
      the CV1.

                                                       CV1




      These CV will least effect
      the CV1.
Snapshot view of the whole system                                                                         PROFIT VIEWER

  Spider chart
  By seeing the shape of the system one can
  make out health of the system. One can
  visualize the variance from the ideal
  condition very easily




           Present value of CV


   Optimum value                                          All the CVs at the
                                                          optimum value. (ideal
                                    CV1                                                          CV1
                                                          condition)
                          CV12              CV2                                     CV12                  CV2
   Higher limit


                   CV11                            CV3                       CV11                               CV3




                 CV10                                    CV4               CV10                                       CV4


   lower limit


                    CV9                            CV5                        CV9                               CV5




                           CV8              CV6                                      CV8                  CV6

                                    CV7                                                          CV7

                          When the system is not                                           In ideal condition
                          in optimized condition
Personalization and Customization                                        PROFIT VIEWER
  Themes

  Situational themes: User can customize      Application view themes: User can
  and save the layouts and settings as        customize and save the layouts and
  different themes for different conditions   settings as different themes for different
  and different problems                      parts of the plants

  Situational Theme:                          Application theme:
  Situation: boiler is down                   Applications: Reactor and boiler
How to analyze the data                            PROFIT VIEWER
     Trends
    Users can plot multiple trends in same
    window so that they can compare the
    different variables, which will help them to
    take vital decisions
Strategy and Intentions                                                        PROFIT VIEWER

                                                                       Generally the operators don’t have to keep track of
                                                 Layer 2               all the variable. Generally there are some key
                             Drag Drop                                 variables that he need to keep an eye on. Apart
                                                                       from the general health of some of the variable.
                                                 Layer 1               The current PSOS segregate the variables
                                              (Core layer)
                                                                       according to the plant model and treat all the
                                                                       variables as equal. There is no tool that can map
                                                                       the requirement of the operators monitoring
                                Drag Drop        Layer 3               predominantly some of important variables.

                                                                       This tool is to provide the operators with a space
                                                 The Grid              that can map to their mental and task models.
Area = Information visible
User can drag and drop a particular
Variable into the area and increase or
decrease the cell space for that particular
variable to view more or less information
related to the variable.

The information related to a particular
variable will be in layered form. More
layers will be revealed when more space is
allocated for a particular variable.


                Level 1                                      Level 2                          Level 3



                                                                                     MV 7              SS
                7                                            MV                                       HI 1270
                           MV Index: 7        X
                                                             7
                           Description: Regen
                           Bed Temp                               SS                                  LO 230
                           Status: GOOD
                           Value: 1270                                                G               SP 1300
                           LO Limit: 0
                           HI Limit: 1270
                           Setpoint: 1330
UI Design using ASM Guidelines   PROFIT VIEWER
Detail Design   PROFIT VIEWER

Más contenido relacionado

Destacado

Akshar Corporate Profile
Akshar Corporate ProfileAkshar Corporate Profile
Akshar Corporate Profileanoopkumar
 
Ah talent retention webcast series part three social media final
Ah talent retention webcast series part three social media finalAh talent retention webcast series part three social media final
Ah talent retention webcast series part three social media finalCathy McKnight
 
[@IndeedEng] Building Indeed Resume Search
[@IndeedEng] Building Indeed Resume Search[@IndeedEng] Building Indeed Resume Search
[@IndeedEng] Building Indeed Resume Searchindeedeng
 
Leading RPO, outplacement consultants, recruitment service provider, recruitm...
Leading RPO, outplacement consultants, recruitment service provider, recruitm...Leading RPO, outplacement consultants, recruitment service provider, recruitm...
Leading RPO, outplacement consultants, recruitment service provider, recruitm...tarun.bhool
 
Abc consultancy services
Abc consultancy servicesAbc consultancy services
Abc consultancy servicesSHAHBAAZ AHMED
 
Consumer Goods & Retail Industry Case Study
Consumer Goods & Retail Industry Case StudyConsumer Goods & Retail Industry Case Study
Consumer Goods & Retail Industry Case StudyVector Consulting Group
 
Manpower India Presentation (2)
Manpower India Presentation (2)Manpower India Presentation (2)
Manpower India Presentation (2)ragerave
 
Company Recruitment Strategy
Company Recruitment  Strategy Company Recruitment  Strategy
Company Recruitment Strategy Stacey Kerr
 

Destacado (10)

Present nstda
Present nstdaPresent nstda
Present nstda
 
Akshar Corporate Profile
Akshar Corporate ProfileAkshar Corporate Profile
Akshar Corporate Profile
 
Ah talent retention webcast series part three social media final
Ah talent retention webcast series part three social media finalAh talent retention webcast series part three social media final
Ah talent retention webcast series part three social media final
 
[@IndeedEng] Building Indeed Resume Search
[@IndeedEng] Building Indeed Resume Search[@IndeedEng] Building Indeed Resume Search
[@IndeedEng] Building Indeed Resume Search
 
Leading RPO, outplacement consultants, recruitment service provider, recruitm...
Leading RPO, outplacement consultants, recruitment service provider, recruitm...Leading RPO, outplacement consultants, recruitment service provider, recruitm...
Leading RPO, outplacement consultants, recruitment service provider, recruitm...
 
Recruitment
RecruitmentRecruitment
Recruitment
 
Abc consultancy services
Abc consultancy servicesAbc consultancy services
Abc consultancy services
 
Consumer Goods & Retail Industry Case Study
Consumer Goods & Retail Industry Case StudyConsumer Goods & Retail Industry Case Study
Consumer Goods & Retail Industry Case Study
 
Manpower India Presentation (2)
Manpower India Presentation (2)Manpower India Presentation (2)
Manpower India Presentation (2)
 
Company Recruitment Strategy
Company Recruitment  Strategy Company Recruitment  Strategy
Company Recruitment Strategy
 

Similar a careerxperts_sp1

Application of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitApplication of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitEmerson Exchange
 
Control of a redundant motor system
Control of a redundant motor systemControl of a redundant motor system
Control of a redundant motor systemyaevents
 
CVA senstivities without bumping
CVA senstivities without bumpingCVA senstivities without bumping
CVA senstivities without bumpingFINCAD
 
NOSIX - A Lightweight Portability Layer for the SDN OS
NOSIX - A Lightweight Portability Layer for the SDN OSNOSIX - A Lightweight Portability Layer for the SDN OS
NOSIX - A Lightweight Portability Layer for the SDN OSOpen Networking Summits
 
CapSense Capacitive Sensing Best Practices
CapSense Capacitive Sensing Best PracticesCapSense Capacitive Sensing Best Practices
CapSense Capacitive Sensing Best PracticesRuth Moore
 
RTL Coding Basics in verilog hardware language
RTL Coding Basics in verilog hardware languageRTL Coding Basics in verilog hardware language
RTL Coding Basics in verilog hardware languageMohammedAbdulAzeem51
 
Using Diversity for Automated Boundary Value Testing
Using Diversity for Automated Boundary Value TestingUsing Diversity for Automated Boundary Value Testing
Using Diversity for Automated Boundary Value TestingFelix Dobslaw
 
CP3_SDM_2010_Souma
CP3_SDM_2010_SoumaCP3_SDM_2010_Souma
CP3_SDM_2010_SoumaMDO_Lab
 
Tackling the Management Challenges of Server Consolidation on Multi-core Systems
Tackling the Management Challenges of Server Consolidation on Multi-core SystemsTackling the Management Challenges of Server Consolidation on Multi-core Systems
Tackling the Management Challenges of Server Consolidation on Multi-core SystemsThe Linux Foundation
 
Bhavesh window clipping slidshare
Bhavesh window clipping slidshareBhavesh window clipping slidshare
Bhavesh window clipping slidshareBhavesh Panchal
 
Detecting Occurrences of Refactoring with Heuristic Search
Detecting Occurrences of Refactoring with Heuristic SearchDetecting Occurrences of Refactoring with Heuristic Search
Detecting Occurrences of Refactoring with Heuristic SearchShinpei Hayashi
 
One Path to a Successful Implementation of NaturalONE
One Path to a Successful Implementation of NaturalONEOne Path to a Successful Implementation of NaturalONE
One Path to a Successful Implementation of NaturalONESoftware AG
 
Hands-On Lab: CA Spectrum : How To Leverage UI Updates For Operational Effic...
Hands-On Lab: CA Spectrum: How To Leverage UI Updates For Operational Effic...Hands-On Lab: CA Spectrum: How To Leverage UI Updates For Operational Effic...
Hands-On Lab: CA Spectrum : How To Leverage UI Updates For Operational Effic...CA Technologies
 
Introduction To Statistical Process Control 20 Jun 2011
Introduction To Statistical Process Control 20 Jun  2011Introduction To Statistical Process Control 20 Jun  2011
Introduction To Statistical Process Control 20 Jun 2011Robert_Wade_Sherrill
 
Optimality of Monotone procedure
Optimality of Monotone procedureOptimality of Monotone procedure
Optimality of Monotone procedureDinesh Rajapaksha
 
Introduction to Robotlegs 2
Introduction to Robotlegs 2Introduction to Robotlegs 2
Introduction to Robotlegs 2Justin J. Moses
 
4 production and cost
4  production and cost4  production and cost
4 production and costdannygriff1
 
On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...
On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...
On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...marcinhosbt
 

Similar a careerxperts_sp1 (20)

Application of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitApplication of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unit
 
Control of a redundant motor system
Control of a redundant motor systemControl of a redundant motor system
Control of a redundant motor system
 
CVA senstivities without bumping
CVA senstivities without bumpingCVA senstivities without bumping
CVA senstivities without bumping
 
NOSIX - A Lightweight Portability Layer for the SDN OS
NOSIX - A Lightweight Portability Layer for the SDN OSNOSIX - A Lightweight Portability Layer for the SDN OS
NOSIX - A Lightweight Portability Layer for the SDN OS
 
CapSense Capacitive Sensing Best Practices
CapSense Capacitive Sensing Best PracticesCapSense Capacitive Sensing Best Practices
CapSense Capacitive Sensing Best Practices
 
Embedded c
Embedded cEmbedded c
Embedded c
 
RTL Coding Basics in verilog hardware language
RTL Coding Basics in verilog hardware languageRTL Coding Basics in verilog hardware language
RTL Coding Basics in verilog hardware language
 
Using Diversity for Automated Boundary Value Testing
Using Diversity for Automated Boundary Value TestingUsing Diversity for Automated Boundary Value Testing
Using Diversity for Automated Boundary Value Testing
 
CP3_SDM_2010_Souma
CP3_SDM_2010_SoumaCP3_SDM_2010_Souma
CP3_SDM_2010_Souma
 
Tackling the Management Challenges of Server Consolidation on Multi-core Systems
Tackling the Management Challenges of Server Consolidation on Multi-core SystemsTackling the Management Challenges of Server Consolidation on Multi-core Systems
Tackling the Management Challenges of Server Consolidation on Multi-core Systems
 
Bhavesh window clipping slidshare
Bhavesh window clipping slidshareBhavesh window clipping slidshare
Bhavesh window clipping slidshare
 
Detecting Occurrences of Refactoring with Heuristic Search
Detecting Occurrences of Refactoring with Heuristic SearchDetecting Occurrences of Refactoring with Heuristic Search
Detecting Occurrences of Refactoring with Heuristic Search
 
One Path to a Successful Implementation of NaturalONE
One Path to a Successful Implementation of NaturalONEOne Path to a Successful Implementation of NaturalONE
One Path to a Successful Implementation of NaturalONE
 
NSU EMB 501 Accounting Ch22
NSU EMB 501 Accounting Ch22NSU EMB 501 Accounting Ch22
NSU EMB 501 Accounting Ch22
 
Hands-On Lab: CA Spectrum : How To Leverage UI Updates For Operational Effic...
Hands-On Lab: CA Spectrum: How To Leverage UI Updates For Operational Effic...Hands-On Lab: CA Spectrum: How To Leverage UI Updates For Operational Effic...
Hands-On Lab: CA Spectrum : How To Leverage UI Updates For Operational Effic...
 
Introduction To Statistical Process Control 20 Jun 2011
Introduction To Statistical Process Control 20 Jun  2011Introduction To Statistical Process Control 20 Jun  2011
Introduction To Statistical Process Control 20 Jun 2011
 
Optimality of Monotone procedure
Optimality of Monotone procedureOptimality of Monotone procedure
Optimality of Monotone procedure
 
Introduction to Robotlegs 2
Introduction to Robotlegs 2Introduction to Robotlegs 2
Introduction to Robotlegs 2
 
4 production and cost
4  production and cost4  production and cost
4 production and cost
 
On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...
On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...
On the Impact of Feature Dependencies when Maintaining Preprocessor-based Sof...
 

Último

Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 

Último (20)

Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 

careerxperts_sp1

  • 1. My Portfolio 1 Work Samples September 2012 Prepared by: Siddharth Ghule
  • 3. Shopping Cart Design Cart and Checkout
  • 4. Checkout Design Cart and Checkout
  • 5. Thank You page Design Cart and Checkout
  • 7. Product Page Buy a Look
  • 9. Catalog Page Quickpick
  • 10. Catalog Page Quickpick
  • 12. Competitive analysis (Best of breed audit) COMPASS Criteria for Audit: Navigation Representation of Data Efficiency & Flexibility Interaction
  • 13. User Profiling COMPASS Purpose of user profiling: To create precise definitions of user groups where the basis of distinction between each user group becomes a valuable distinction for DESIGN purposes
  • 14. User Goals COMPASS User goals To define who has what goals in order to validate the distinctions between user groups and to place tasks in context of goals.
  • 15. High level process and task flow COMPASS
  • 16. Detailed task flow (Activity diagram) COMPASS
  • 17. High level design (Low Fidelity Wireframes) COMPASS Concepts exploring Navigation and features (Information architecture)
  • 18. Detailed design (High Fidelity Wireframes) COMPASS
  • 21. Which problem to handle? PROFIT VIEWER Tree map Area represents the rate of change of variable Color key Violating soft limit Normal Color indicates weather the variable is Violating limit reaching the constrains or has crossed the limit High rate of change of variable X Variable reaching limit = means variable need attention “Can you figure out what all variable needs attention ?” T01a_ctl Sample TK Demethanizer Pressure ISRX_CTL1 t01b_ctl NOVA_SIM t01c_ctl T01c_opt ISRX_CTL2 NOVA_SIM_09 T02c_opt2
  • 22. How can I solve the problem? PROFIT VIEWER Bullseye view Distance from the center corresponds to: how strongly a particular variable will effect the another variable at the center. More the distance of a variable from the Center Variable (at the center of the bullseye): greater is the effect. These CV will most effect the CV1. CV1 These CV will least effect the CV1.
  • 23. Snapshot view of the whole system PROFIT VIEWER Spider chart By seeing the shape of the system one can make out health of the system. One can visualize the variance from the ideal condition very easily Present value of CV Optimum value All the CVs at the optimum value. (ideal CV1 CV1 condition) CV12 CV2 CV12 CV2 Higher limit CV11 CV3 CV11 CV3 CV10 CV4 CV10 CV4 lower limit CV9 CV5 CV9 CV5 CV8 CV6 CV8 CV6 CV7 CV7 When the system is not In ideal condition in optimized condition
  • 24. Personalization and Customization PROFIT VIEWER Themes Situational themes: User can customize Application view themes: User can and save the layouts and settings as customize and save the layouts and different themes for different conditions settings as different themes for different and different problems parts of the plants Situational Theme: Application theme: Situation: boiler is down Applications: Reactor and boiler
  • 25. How to analyze the data PROFIT VIEWER Trends Users can plot multiple trends in same window so that they can compare the different variables, which will help them to take vital decisions
  • 26. Strategy and Intentions PROFIT VIEWER Generally the operators don’t have to keep track of Layer 2 all the variable. Generally there are some key Drag Drop variables that he need to keep an eye on. Apart from the general health of some of the variable. Layer 1 The current PSOS segregate the variables (Core layer) according to the plant model and treat all the variables as equal. There is no tool that can map the requirement of the operators monitoring Drag Drop Layer 3 predominantly some of important variables. This tool is to provide the operators with a space The Grid that can map to their mental and task models. Area = Information visible User can drag and drop a particular Variable into the area and increase or decrease the cell space for that particular variable to view more or less information related to the variable. The information related to a particular variable will be in layered form. More layers will be revealed when more space is allocated for a particular variable. Level 1 Level 2 Level 3 MV 7 SS 7 MV HI 1270 MV Index: 7 X 7 Description: Regen Bed Temp SS LO 230 Status: GOOD Value: 1270 G SP 1300 LO Limit: 0 HI Limit: 1270 Setpoint: 1330
  • 27. UI Design using ASM Guidelines PROFIT VIEWER
  • 28. Detail Design PROFIT VIEWER