timeline
What's in it for you?

Introduction

Gradient Ascent is a curated internship preparation program focused on **Data Science** and **Machine Learning**. It equips students with the tools, strategies, and resources needed to ace technical interviews.

What it contains?

  • Data analytics & ML fundamentals
  • Problem-solving & case-based approach
  • Resume & profile building
  • Mock interviews and real-world applications

How is it helpful?

Gradient Ascent is the ultimate resource for a last minute revision before your interview preparation. Ideal for anyone targetting Machine Learning or Data Science roles.

100K+

Students Benefited

30+

Interview Experiences

50+

Curated Topic Notes

200+

Practice Questions

Course Materials

Question Bank

Question and answers covering all the general topics frequently asked in interviews, covers everything from basic python to NLP.

Access

Interview Experiences AY 25-26

30+ ML-DS based Interview experiences from Top MNC's

Access

Resources

This guide covers all the essential topics for interview preparation. Essential and quality material is curated at one place.

Access

Interview Experiences AY 24-25

30+ ML-DS based Interview experiences from Top MNC's

Access

Know more

What is Gradient Ascent?

Question bank for your placement/intern preparation. It contains important questions from everything that involves data (basic python, SQL to advanced architectures like GANs, transformers). It also has interview transcripts from people who are already working in data/ML/AI focused comapnies

+

How do I register and get access?

You can download it from the website. There is no registration fee or charges to download any material.

+

Is Gradient Ascent completely exhaustive?

Yes, it contains every topic which can be asked in interviews but it is recommended to have your basics clear and also have very clear understanding of the projects/tech stacks mentioned in your CV. Gradient Ascent serves as an external resource which will give breadth to your prep.

+
Get in touch

Abhi Tanwar

Analytics Head

Sumit Prabhakar

ML Research Head

Subhashree Kedia

Projects & Competitions Head