Candidates: 406 | Batches: 196 | Employers: 12 | Wage Employement: 0 | Self Employed: 0 | ____ *System USP* ____ • Six Level Entry System for Stakeholders. • Inter Alia Visibility of All Stakeholder on Real Time Basis. • Geo Level Mapping of All Stake Holders. • Realtime Monitoring of Entire Skill Process. • Mass Level Communication. • Complete Platform for Execution of Government Skill Programs. • Scope For Customisation of Schemes. • Only Platform Meeting All Requirements of CSR And Other Funds. • Data Security. ____ | ____ *Benefits to Candidates* ____ • Livelihood Driven Certified Training Continuous Career Counselling. • Update on Up-Skilling & Advance Skilling Programmes. • Certification as Per Global Standards. • Introduction to Special Category Benefits. • EDP- Entrepreneurship Development Programme. • Option to Work Part Time/Work from Home. • Connect to Global E-Commerce Platform. • Induction to All Social, Economic & Govt. Benefits. ____ | ____ *Benefits to Employers* ____ • Employer Orientation & Training. • Facilitates Multisectoral Registration of Employers. • Facility for Multiskilling, Cross Sectoral Skilling Based Work Order. • Meets Regulatory Compliance. • Inbuilt Policies to Avoid Conflicts. • Inbuilt Two-Way Bidding System. • Facilities to Accommodate Unskilled Manpower. • Employer-Employee Feedback & Rating Mechanism. • Inbuilt Employer Assessment. ____ | ____ *Benefits to Training Providers* ____ • Work Order/Employment Based Training. • Facilitates Multiskilling & Cross Sectoral Skilling. • Facilitates Existing as well as New Customized Schemes . • Ensures Optimum Utilization of Resources. • Facilitates On-line/Off-line Training of Candidates. ____ | ____ *Benefits to Govt. / Economy* ____ • Generation of 1 Million Livelihoods in Noida. • 70%- Industrial Employment, 30%-Self Employment . • 50 % Livelihood Opportunities for Women. • 70 % Beneficiaries from Neighbouring 15 Districts in U.P.. • Increased Per Capita Income-Improved Standard of Living . • Boost to GDP through Employment-Led Growth. • Skilled Workforce to Attract More Investment from Business . • Reduction in Workforce Migration from the Region. ____ | ____

Candidates Details

S.No Candidate Id Candidate Name State Job Role Gender
381 2026KS-HJPRKSGC1691 Satoru Gojo DELHI Sewing Machine Operator(AMH/Q0301) Male
382 2026KS-TBCH9PVC1692 Maki Zenin DELHI Sewing Machine Operator(AMH/Q0301) Female
383 2026KS-PSBY0JHT1693 Nobara Kugisaki DELHI Sewing Machine Operator(AMH/Q0301) Female
384 2026KS-VWYJBEHW1730 Akash Delhi Sewing Machine Operator(AMH/Q0301) Male
385 2026KS-CTUORYVQ1743 Munrul singh delhi Sewing Machine Operator(AMH/Q0301) Male
386 2026KS-U1QBSDYN1744 Roshan kumar delhi Sewing Machine Operator(AMH/Q0301) Male
387 2026KS-FQSKV8L81746 Mukesh first delhi Sewing Machine Operator(AMH/Q0301) Male
388 2026KS-GPYKAGFG1747 Mukesh second delhi Sewing Machine Operator(AMH/Q0301) Male
389 2026KS-TBGG1748 Nirmal singh Delhi Sewing Machine Operator(AMH/Q0301) Male
390 2026KS-RBL7KSUH1804 Priyatest Delhi Sewing Machine Operator(AMH/Q0301) Male
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