Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Identify Potential Users for Instagram Shopping Tab Adoption
Evaluates how to identify likely adopters of an Instagram Shopping tab and measure whether the feature creates incremental commerce value. Strong answ...
Measure Ultrafast Delivery's Impact Using Synthetic Control Method
Measure Ultrafast Delivery Impact With Synthetic Control Instacart launched Ultrafast Delivery in Miami two months ago and wants to measure its causal...
Employ Collaborative Filtering for Personalized Recommendation Lists
Collaborative Filtering and Ranking for Personalized Recommendation Lists You are releasing a new recommendation feature that must generate personaliz...
Evaluate Recommendation Feature with Historical Data Analysis
Offline Evaluation of a Recommendation Feature With Historical Data The company is considering launching a new recommendation-system feature and wants...
Analyze Data to Boost Group Post Comment Rates
Analytics Plan to Increase Group Post Comment Coverage A social shopping platform wants to increase the percentage of group posts that receive at leas...
Determine Player Preference for Local Game Creators
Player Preference for Local Game Creators A Roblox analytics team wants to understand whether players prefer games created by local creators, such as ...
Calculate January-2024 SF Promotion Impact Using SQL Queries
campaign_users +---------+-----------+ | user_id | treatment | +---------+-----------+ | 1001 | control | | 1002 | test | | 1003 | con...
Boost App Installs: Analyze and Experiment with Conversion Funnel
Mobile Web Order to App Install Funnel and Experiments Many users place orders through mobile web but never install the native app. The company wants ...
Optimize Station Sequence for Maximum Car Output in Simulation
Scenario The Car-Building mini-game lets you sequence chassis, engine, and paint stations with limited buffers. Question Describe a strategy to maximi...
Uncover User Needs for Group Calling Effectively
Uncover User Needs and Measure Group Calling Impact You are the product analyst for a messaging platform planning to introduce group calling. You need...
Define Metrics and Account for Network and Novelty Effects
Metrics for Notification-Triggered In-App Surveys Meta's notification system triggers optional in-app surveys to measure user sentiment after notifica...
Classify Reviewers Using Bayesian Probability for Accuracy Analysis
Classify Reviewers With Bayesian Probability You are auditing reviewers who may be lazy or careful. Each reviewer completes n gold-standard review tas...
Determine Posterior Probability of Bad User Prediction
Posterior Probability for a Bad-Actor Classifier You are evaluating a binary classifier that flags bad actors among users. Given: - 5% of users are tr...
Design a Restaurant Recommendation System for Food Apps
Design a Restaurant Recommendation System for a Food-Ordering App You are designing an end-to-end recommendation system that suggests restaurants to u...
Resolve Team Conflicts to Improve Delivery Efficiency
Behavioral Interview: Resolve Team Conflict and Improve Delivery You are in a Behavioral and Leadership interview for a Data Scientist role. The inter...
Estimate Lift and Significance in Facebook Ad Campaigns
Estimate Lift and Significance in Facebook Ad Campaigns An advertiser is running campaigns on Facebook and wants to know whether ads increased convers...
Relate coefficients under linear feature transformation
This question evaluates understanding of linear regression parameter relationships under linear feature transformations, model equivalence and identif...
Compare float types and design ablation
This question evaluates understanding of floating-point numerical representations and experimental design for ablation studies, testing competencies i...
Solve restaurant path and order event tasks
You are given two independent coding tasks. Task 1: Shortest paths in a restaurant grid Context: A restaurant is represented as a 2D grid. The waiter ...
Explain weight initialization methods and goals
This question evaluates a candidate's understanding of weight initialization in deep neural networks, assessing competencies in training dynamics such...