Supercharge 

your career with

Long Term Mentorship

1-on-1 long-term mentorship with your chosen mentor to guide you to the career you deserve

Move Over traditional courses

Start Making Progress with

1:1 Long Term Mentorship

30%

Cheaper

Compared to any 6 month course

4x

Results

As compared to any online courses

50%

Faster

Get a results within 6 months instead of years

600+ mentors are just a Free Trial Session away!

Choose your ideal mentor and get started with a FREE trial session

View All Mentors ->

No need to Struggle Alone Anymore

Long term mentorship gets fully covered

1:1 Live Session

Boost your progress with frequent 1:1 sessions.

Unlimited Chat with Mentor

Get the right advice from your mentor via Chat.

Task & Curated Resources

You will be certified for this mentorship program.

Regular Followups

Stay motivated with regular follow-ups.

Job Referrals

Get referrals to companies by mentor community.

Certified

You will be certified for this mentorship program.

Get Mentored By The Star Mentors

Connect with our star mentors, distinguished leaders in their fields, to receive personalized mentorship.

View All Mentors ->

Ask Mentor Anything

Get answers from our mentors in the forum. They're here to help with your questions about your career.

Ask your questions here

Directly submit your questions to Mentors...

Ask a question ->

Niyati Kapoor | Working Professional

How to transition from Software development to Data Analytics domain?

The strategy for this is to showcase how well have you worked on technologies that are common in both domains like Python and SQL and also learn new data analysis dashboards like PowerBI or Tableau. You can start as a data analyst and then it is completely upto you whether you want to move into data science roles, ML related roles or continue as a data analyst itself.

Anushka Singh | Fresher

What are some of the questions I can ask the interviewer?

Here are some questions you can ask the interviewer: Can you tell me more about the major responsibilities of this role? What opportunities for professional development and growth are available within the company? Can you tell me about the team I would be working with? What is the typical career path for someone in this role? What is the company's approach to diversity and inclusion? Can you provide more information about the company's long-term goals and where it's headed? What is the next step in the interview process? Remember to tailor your questions to the specific company and role you are interviewing for. It's also a good idea to take notes during the interview so that you can refer back to the information later. Regenerate response

Sneha Mehra | Working Professional

What is your Google interview process? How did you prepare for it?

Hey Sneha, Here's my experience on my Google Interview that I gave in August 2022 and the Preparation that I did for the same. Interview Process Initially the HR called me for a opening for which I am a suitable fit. Later, she shared the preparation material and then scheduled rounds starting 2 weeks later. There were 5 rounds in total. Each round is of strict 45 minutes. First 4 rounds were related to Data Structures and Algorithms. The last round was Googleyness or Behavioral round. Round 1 (Screening round):  Round Type:DS & Algorithm round.  Problem Difficulty: Easy Concept: Array, Range based Sum Comments: The problem looked large while looking at it, but later on it became easy when I understood it completely and ignored the excess paragraphs which were there for me to distract or not concerning with the problem. Round 2 (Coding Round):  Round Type:DS & Algorithm round.  Problem Difficulty: Medium Concept: DFS, Computation at every node before returning from every node in tree Comments: The problem was difficult to understand as it had lot of jargons only specific to the question itself. The main thing in this round was to check my implementation speed. The solution was 60+ lines but required very careful implementation otherwise the output could be wrong. Round 3 (Coding Round): Round Type:DS & Algorithm round. Problem Difficulty: Easy & Medium (2 problems asked) Concept: Array, Pattern Recognition using Maths Comments: There were 2 problems asked in this round. I solved the first problem in under 15 mins. The second problem was little tough to crack as it required some basic maths to build the pattern for the solution and then coding it out. The main thing in the round was to check my logical thinking and pattern recognition. Round 4 (Coding Round): Round Type:DS & Algorithm round. Problem Difficulty: Medium-Hard Concept: Matrix Chain multiplication (Rod-Cutting problem) Comments: The problem asked was a variant of rod-cutting problem. The interviewer did not actually explained the problem. He tried to tell this problem using a game by playing with me. That was tough to understand in the realtime interview what he intended to say. Later, I realised the problem is something similar to rod-cutting problem and then I solved it. Round 5 (Googleyness/Behavioral Round): Round Type: Behavioural Problem Difficulty: Easy-Medium Concept: Past projects and Behavioral questions Comments: Some behavioral questions were asked like: 1) If I had any conflict with my manager in the past? 2) How did I communicate on the projects where I missed timeline? etc. You can google some common behavioral questions pretty easily. After all the rounds, I received call from the HR saying that I have cleared the interview process but the hiring across all teams have been put on hold :(  Eventually, I let go off the whole interview process and made peace with it. Preparation I prepared using the following things: Basics First : Refer ANY source and prepare a basic list of data structures and try to solve Medium and Hard questions only. Timing your coding : Whenever you are coding, just time your coding speed for solutions and retrospect later what could have been done better to achieve solution faster. Pick any one platform : I would highly recommend sticking to Leetcode for this. Mock Interviews: Ask your friends/new people from LinkedIn to take a mock interview of you to help you grill on data structures and algorithms. Past Archives: AtLast, lookup to atleast 20 archives/interview experiences of other people who have given recent interviews. This is the best way to know what level of difficulty questions to expect. At last, please do remember it's not the attempts that will be counted at the end, but the level of effort you put and the new things you learnt while giving interviews. Let me know if I can be of anymore help. Feel free to connect. Cheers!

Love & Praise by The Mentees

Get inspired by the real-life experiences of our mentee and their journey to success with Preplaced.

Frequently Asked Questions

Find answers to commonly asked questions about Long Term Mentorship