Candidates: 336 | Batches: 168 | Employers: 9 | 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
291 2025KS-XVYV2M3A1606 Sanjita Sethi Delhi Sewing Machine Operator(AMH/Q0301) Female
292 2025KS-PTEQPCX51607 Raja delhi Sewing Machine Operator(AMH/Q0301) male
293 2025KS-GVOOQ1ZJ1608 Aman delhi Sewing Machine Operator(AMH/Q0301) male
294 2025KS-XXEDMZTY1609 Raj delhi Sewing Machine Operator(AMH/Q0301) male
295 2025KS-JLS9V2OR1610 Harish delhi Sewing Machine Operator(AMH/Q0301) male
296 2025KS-RP7E4CYC1611 Kamal delhi Sewing Machine Operator(AMH/Q0301) male
297 2025KS-O7GH8PKA1612 Daman delhi Sewing Machine Operator(AMH/Q0301) male
298 2025KS-VC72IQWX1613 Tarun delhi Sewing Machine Operator(AMH/Q0301) male
299 2025KS-KUA7TS641614 Goyal delhi Sewing Machine Operator(AMH/Q0301) male
300 2025KS-Z1ESZBET1615 Bisht delhi Sewing Machine Operator(AMH/Q0301) male
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