Batch: 30953 Course: Stenter Machine Operator
| # | Trainee Name | Trained | Placed |
|---|---|---|---|
| 1 | ANITA DEVI | Yes | Yes |
| 2 | MAINA LUHAR | Yes | Yes |
| 3 | MEENA | Yes | Yes |
| 4 | POOJA KUMARI LUHAR | Yes | Yes |
| 5 | PUJA DEVI | Yes | Yes |
| 6 | OMA DEVI REGAR | Yes | Yes |
| 7 | ANITA PRAJAPAT | Yes | Yes |
| 8 | NASRIN PATHAN | Yes | Yes |
| 9 | SIMRAN BANU | Yes | Yes |
| 10 | SANTOSH DEVI BERAGI | Yes | Yes |
| 11 | NIKITA VERMA | Yes | Yes |
| 12 | REKHA DEVI | Yes | Yes |
| 13 | AFSANA | Yes | Yes |
| 14 | LALITA | Yes | No |
| 15 | MADHU KANDARA | Yes | Yes |
| 16 | KIRAN KUMARI LUHAR | Yes | Yes |
| 17 | NIRAMA NAT | Yes | Yes |
| 18 | DHAPU DEVI | Yes | Yes |
| 19 | MAMTA KUMARI AMETA | Yes | Yes |
| 20 | KIRAN RAO | Yes | No |
| 21 | MANJU DEVI | Yes | Yes |
| 22 | Rahul Kumar | Yes | Yes |
Batch: 30953 | Status of Training Programme
As on 26th October, 2025
Entry level Training Programme
22
Trained
22
Assessed
20 / 0
**W.E / S.E
1
Implementing Partners
1
Active Training Centers
Up/Re-Skilling Training Programme
0
Trained
0
Assessed
0 / 0
**W.E / S.E
0
Implementing Partners
0
Active Training Centers
**W.E. = Wage Employeed, S.E. = Self Employeed