Audisankara Reviews on Placements, Faculty & Facilities ,Nellore

Placements: 60% students were placed during 2023 placements and the highest package was 12 LPA and the lowest package was 3.6 LPA. There are many top companies like Wipro, Infosys ,TCS, Deloitte etc .The roles offered are web developer, software engineer ,data science etc.

Placements: Our college has regular placement drives, so everyone can apply! But the packages of companies are too low, which is disappointing! They also have an internship fair in which many companies come and offer internships to the students. But the college does not get involved in providing internships and projects to the students.

Placements: The placement session is one of the most outstanding aspects of our college. Top Four companies, such as EY, Deloitte, KPMG, etc., hire some of the brilliant students. More than 50 companies visit every year for placements. There is also exposure to clinics in rural areas to raise awareness among them. There is almost 70% settlement rate every year.

Placements: 90% of the students are not placed even in non IT companies which shows a lack of job opportunities in my college. I am so worried about my future as the companies visiting are only small start up companies. We are not able to get jobs and the internships are below average.

Placements: It is the worst college I ever seen in my life. None of the students got placed in companies. We are now in our 3rd year, but the same situation repeats.

Placements: I am sure that everybody is facing so many problems on campus for jobs. Students are worried about getting jobs and internships in our college. Though some students got placed, but with salary package of 2 LPA only. So, it's better to join another college.

Placements: Usually the companies came to our college from the third year onwards. We are also excited to participate in the offline interviews, and the highest package is 10 lpa, the average package is 6 lpa, and the lowest is 1 lpa, and the majority of the students started to do their internships from the 3rd year. A lot of companies show interest in giving internships.

Placements: It is an average college with average placements. So, we are not able to get jobs from this college. It is a bit tough to get a job because the college is not very popular. Companies visiting here are not very famous. Only start-up companies came to our college. The internship percentage is 50%, and the salary package offered is approximately 2 LPA.

Placements: As I know my seniors are not placed at all worst college in my opinion because the companies are not showing interest at all and the companies are less likely to give offers to the students and they are not offering the jobs according to course and the final lpa is to be like 3lpa like that only.

Placements: Placements are good. Nowadays, placements are difficult sometimes due to down fall of IT. Our seniors got placed in top MNCs. Top MNCs visit our college and provide jobs to students. The salary package offered is 16 LPA. Almost 90% of students got placed in our college.

Placements: 75 percent of students are placed in my college, but all companies are local companies and start-ups only visiting our college; no big companies are getting it, but each and every student in our college can provide an internship with some better sponsors.

Placements: There are no placements. First, there is no perfect faculty for studying; there are only extracurricular activities and teachers. Placements in this college are nil. There are no placements for the 2023–2024 batch. You need to join this college; that is your choice but your life is gone.

Placements: 46% of the students were placed in my college for the Mechanical Engineering course. 3 LPA is the lowest and 5.4 LPA is the highest package offered in my course. TCS, HCL, Deloitte, Wipro, and Infosys are the top recruiting companies for my course. 75% of the students got internships.

Placements: Only 30 percent of students are placed. The highest package is 14 Lacs per annum. The average salary is 5 lacs per year. The top companies are TCS, Wipro, Byju's, etc. Almost 70 percent students get internships in Tech Mahindra, etc. The top roles offered in our course are HR, Manager, etc.

Placements: There are only 30% of the students getting placed. The highest package offered is 14 Lacs per annum and average package is 5 Lacs per annum. Top recruiting companies are Wipro, TCS, BYJUS, etc. 60% of the students got internships. Top role offered is that of HR.

Placements: Our college has good placement opportunities. We have separate schedules for the CRT Programme. Every student must enhance their skills through this programme. Our college secures good placement opportunities, about 75 percent till now. Most recommend college for those who are seeking to enhance their skills.

Placements: 70 percent of students were placed in our course. The highest package offered in my course is 6 LPA, and the average package is 3.4 LPA. The top recruiting companies for my course are HCL, Cognizant, and Emphasis. The roles offered in my course is Data analyst, Data scientist, etc.

Placements: Especially, the ECE department's placement history is excellent in our college, and it has been improving year by year. Most of my seniors were placed in top recruiting companies like Tech Mahindra, Sonata, Virtusa, etc. The top roles offered in my course include Mobile Developer, Machine Learning, etc.

Placements: In every year, 60 percent of students are placed in our course. Our college placement cell officers are very supportive in placement drives. Topmost MNC companies, such as Emphasis, APITA, SIEMENS, etc., offer placements in my course. They provide special classes (CRT) for placement drives.

Placements: The placement records for both my batch and the previous batch have been impressive, with approximately 70 percent of students being successfully placed in my course. Renowned multinational companies such as TCS, HCL, and Mindtree have extended offers to students in my course, providing opportunities in top roles like full-stack development and machine learning.