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."
This question evaluates a data scientist's competence in designing and operationalizing multi-channel fraud detection systems, covering cost-sensitive...
Behavioral & Leadership Prompts for a Data Scientist (Onsite) Instructions: - Answer each prompt with a specific story using the STAR structure (Situa...
BI/Fraud Stakeholder Case: Drive an Account Takeover (ATO) Policy Change in 90 Days You join the Chicago Fraud team as a Decision Scientist. The hirin...
This question evaluates a candidate's competency in designing low-latency, production-grade real-time machine learning systems for account-takeover de...
Experiment Diagnosis: Horizontal Recommendations Carousel on Home Context A new horizontal recommendations carousel was launched on the home page. In ...
Digital Billboard: Weekly Reach, Impressions, and Store-Visit Attribution Context You are estimating the performance of a single digital billboard bes...
Behavioral & Leadership (Data Scientist Onsite) Prompt: High-Stakes Decision That Turned Out Wrong Describe one specific decision you owned that mater...
Behavioral: Leading a High-Stakes Revenue vs. UX Trade-off Context: You led a decision where ads revenue goals conflicted with user-experience metrics...
Launch Decision Under Asymmetric Costs (Experiment p=0.10) Context You ran an A/B test on a churn‑reduction feature. The test's p‑value was 0.10 (sugg...
Evaluate a New Home-Page Ranking Algorithm: 3-Stage Plan Context You are introducing a new ranking algorithm for the home page. You must validate it s...
Behavioral & Leadership: Cross-Team Conflict With Tight Timeline You are a Data Scientist interviewing for an onsite role. Describe a realistic cross-...
Behavioral Reflection: Multi‑Round Interview Adaptation (Data Scientist, HR Screen) Context You recently completed a multi‑round interview process for...
Singly Linked List Reversal — Variants and Edge Cases You are given a standard singly linked list with nodes of the form: - Node fields: value, next -...
Assume 'today' is 2025-09-01. You are given the following tables. users(user_id INT PRIMARY KEY, signup_date DATE) orders(order_id INT PRIMARY KEY, us...
A/B Test Design: New Credit-Card Acquisition Flow (Revised APR Disclosure + Signup Bonus) Context You are launching a new credit-card acquisition flow...
Given a weighted graph with nodes {S,A,B,C,D,G} and edges: S–A(2), S–B(5), A–C(2), B–C(1), C–D(2), D–G(1), B–G(20). Heuristic for A*: h(A)=4, h(B)=3, ...
Predict Late Delivery Risk at Order Creation Context You are given an anonymized dataset of marketplace orders with timestamps, store/customer/market ...
Behavioral & Leadership (Onsite) — Data Scientist Context You are interviewing for a Data Scientist role focused on marketplace and operations. Use co...
Behavioral Product Leadership Prompt (Data Scientist) You are interviewing for a Data Scientist role with a strong focus on product analytics, experim...
This question evaluates a data scientist's competency in cohort analysis, retention metric computation, handling right-censoring and edge-case treatme...