Candidates: 289 | Batches: 128 | Employers: 6 | 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
71 112040 Harnam Kaur Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
72 26328282 Radha Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
73 53272872 Annu Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
74 231053774 Sabnam Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
75 231200877 Tabbusam Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
76 23105774 Salma Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
77 23100877 Muskan Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
78 23100774 Noor Khan Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
79 23100777 Madhu Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Female
80 CAN36372871 Rani Singh Uttar Pradesh Sewing Machine Operator(AMH/Q0301) Male
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