Get CGPA Analysis
Please note this is only for the 296 TE CE students in 2024.
See next year's statistics..
Gender Statistics
A girl is more likely to have a higher CGPA
Girls have an avg CGPA of 7.87 and boys at 7.17
Regardless of gender the average CGPA is 7.34 and a 1/3rd of people have above 8
A -> 47:13 B -> 43:17 C -> 42:18 D -> 42:18 E -> 40:15 for every 60 rows
2024 Leaderboard
| Rank | Name | CGPA |
|---|---|---|
| 1 | NIHARIKA RAHUL KAMAT |
9.99 |
| 2 | TALELE ROHIT RAHUL |
9.96 |
| 3 | KORGAONKAR NEERAV JAIDEEP |
9.92 |
| 4 | SUNIDHISHREE PRABAKARAN |
9.89 |
| 5 | CHAKRABORTY SAIKAT TARUN |
9.88 |
| 5 | ADITYA ANIL BHABAL |
9.88 |
| 7 | BHAMRE ARYA PRAVIN |
9.87 |
| 8 | ANKIT CHAUDHARY |
9.86 |
| 9 | MOKSH JAIN |
9.84 |
| 10 | PATIL MANISH GIRISH |
9.81 |
| 10 | SAANVI GANAPATI NETALKAR |
9.81 |
| 12 | YAHYA MOOSA |
9.79 |
| 12 | ROHIT KUMAR |
9.79 |
| 14 | SUPRITHA YOGESH ANCHAN |
9.78 |
| 15 | DHANDARPHALE SHARDUL SHRIPAD |
9.76 |
Highest CGPA Increases
| Name | Sem 3 | Sem 4 | ++ |
|---|---|---|---|
| PATEL JAYANT | 7.64 | 8.50 | 8.6% |
| DADHEKAR TANVI | 5.98 | 6.84 | 8.6% |
| PRAGYA MISHRA | 6.48 | 7.22 | 7.4% |
| THAKARE RUSHABH | 6.68 | 7.41 | 7.3% |
| KADAM SARVESH SUNIL | 7.13 | 7.81 | 6.8% |
| SHAIKH DANISH ASLAM | 7.82 | 8.50 | 6.8% |
| RAGHAV RAM DAD | 6.92 | 7.55 | 6.3% |
| OM SALIL DIDOLKAR | 7.44 | 8.01 | 5.7% |
| DEEPTANSHU LAL | 7.43 | 7.98 | 5.5% |
| MURDANDE ARNAV | 6.69 | 7.23 | 5.4% |
| ASHUTOSH YOGESH KULKARNI | 6.72 | 7.24 | 5.2% |
THE TOUGHEST SUBJECTS
The toughest subject with a deadly average rate of D is Basic Electronics and Logic Design from SEM III
Reason: Massive deviation from sample papers + In one of the 10 mark questions ESE, students were asked to design a MOD 5 counter which takes a lot of time... a MOD counter question is usually expected to be of max 3
Surprisingly, the subject Data Analysis and Algorithms in SEM IV which is known for being easy was the deadliest subject
This was due to the absence of numericals and a demonstration being asked for every algorithm meaning you had to make your own data, solve it, and also provide theory for it in ESE
... More coming, just wait for the latest Git push to prod
