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A practical collection of actual Data Science, Machine Learning and Analytics interview questions gathered from learners, mentors and professionals who appeared for roles at leading product-based companies.
NEXA ML alumni may be eligible for free access.
The idea is simple: prepare from questions that candidates actually encountered instead of spending hours guessing what companies might ask.
Questions collected from real interview experiences shared by learners, mentors and professionals.
Structured for practical interview preparation without unnecessarily long theory or scattered resources.
Build confidence around the type of ML and Data Science questions commonly discussed during hiring rounds.
Then the collection kept growing.
While mentoring learners, I started collecting actual interview questions being asked in Data Science, Machine Learning and Analytics interviews.
Some came from my network and experiences around IISc Bangalore and DTU. Others were directly shared by people who had recently appeared for interviews.
Over time, that small collection became a structured interview-preparation resource designed to help learners spend more time solving useful questions and less time searching the internet.
The collection includes questions associated with interview experiences across companies such as:
Rohit has 7+ years of professional experience across data science, machine learning and applied AI, along with extensive experience teaching professionals and aspiring data scientists.
Open the sections below to explore the material included with this resource.
“The PDF course is honestly a goldmine. The questions are exactly the kind of questions product-based companies ask. It also covers advanced topics instead of stopping at the basics.”
Anjali T. Data Analyst Aspirant“Super helpful for interview prep. The questions are relevant and the solutions don't just explain what to do — they also help you understand why.”
Rahul S. ML Engineer Trainee“I could clearly see these were real interview questions. It even had questions similar to ones I was asked during my Swiggy interview.”
Priya M. Career Switcher to Data Science“The structure is clean and useful. Advanced topics such as SHAP, pipelines and cross-validation strategies were also included.”
Sneha D. Final-Year B.Tech Student“Simple and to the point. No fluff — just real questions and useful answers. It helped me revise core ML concepts quickly before interviews.”
Aditya M. Final-Year Student, IIT Indore“One of the few resources that actually respects your time. Practical for last-minute preparation as well as regular revision.”
Neha S. Transitioning to Data SciencePractice relevant questions, revise important concepts and prepare from a collection built around actual interview experiences.
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