Projects I done were given no weightage. Machine Learning based Case Study of Food Delivery app. Questions were like how will you perdict Payment/Add to cart ratio for resturants. Interviewer assumed I am someone who order daily food from Swiggy and i should know all features which can help me to predict. Few Questions of Bagging and Boosting which were also too specific.
Questions related to Decision Trees, Random Forest and a food delivery app case study
ML, LLM, Live Coding, and Behavioral.
How does the Decision tree start building the first node?
Describe yourself, skillset, what you are looking for and why you want to join TripAdvisor.
LLM-centric questions as it is a LLM role (BERT vs GPT, describe ML vs DL, etc) General discussion, plus a slight "look at this code/debug this code" (I cant give you an exact answer since they rotate it"
Describe the strategy for classifying a movie based on its synopsis using multiple tags.
Coding : Data manipulation with/without library. Optimization in Deep learning. Statistics (p-value, chi-square etc.) Few machine learning questions. Dimensionality reduction .
4 things you gonna ask a person, when taking over their model
For stats: Focus on brushing up the stats 101, Confidence interval, Z statistics For ML: Practise case study for example if you're taking over someone's work what are some questions you gonna ask that person and then follow up questions on that For coding: More like leetcode. One main question but would have 3 parts to it. For values: Situational Questions on past work and behavior kind of questions Problem Framing: Simple data manipulation using pandas
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