This is a system-level skill tree dynamically generated based on your cloud Memory. By mastering these knowledge nodes, you will build a solid bridge to roles like DS, DA, and PA.
Field guides for top-tier companies and core specialized roles. Subscribed premium users can query local/cloud agents with verified prompts to initiate tailored preparation loops.
Updated 'Google QA Variance Reduction Guide': Added chalkboard derivations of multi-linear regression coefficients during CUPED variance reduction adjustment.
Updated 'Stripe Credit Fraud Detection Evaluation': Added Bayesian derivations of cost-sensitive loss matrix weights and decision boundary adjustments.
Updated 'Meta A/B Test Network Spillover Contamination': Added bias evaluation and mathematical proofs of ego-centric cluster randomization on network graphs.
Updated 'Uplift Modeling Causal Attribution': Added theoretical analysis of Causal Forest split criteria for heterogeneous treatment effects estimation.
Added 'Stripe Merchant Rate Elasticity Analysis': Outlines Bayesian hierarchical modeling guides to estimate fee elasticity for mid-to-long tail merchants.
Coupled with the cloud skill tree above, when you initialize the knowledge base locally using MCP, the following 6 core modules will be generated automatically. You can use these to build your exclusive local knowledge engine. Click on the cards to expand domain-specific insights.
Used for organizing background checks, core businesses, tech stacks, and past interview experiences of your target companies. E.g., categorize OpenAI or Google's interview styles.
Displays Job Descriptions, capability models, and common question distributions for target roles (e.g., AS, MLE, DS).
Track and record practical post-mortems of every real interview. Includes interviewer backgrounds, difficult questions, and feedback summaries for self-improvement.
Deeply analyze your personal projects using the STAR principle, document system architecture trade-offs, and prepare for resume deep dives.
Specifically used to track and update your different resume versions (e.g., General, Algorithm-specific) and record Bullet Points highlight materials daily.
Contains your overall knowledge framework. From data structures and high-concurrency system design to AI frontier knowledge (like LLM, RAG), accumulate systematic notes here.