They ask for another senior DS to review your coding. I believe I have working on the coding test perfectly and answer all her review questions, then after 4-5 rounds including HR interview they decline my application saying they hire someone else with same level of my interview performance but more year of experience, which could totally be a waste of time.
We have sales at various price points for multiple SKU's. There is lots of missing data because all SKU's are not available at all prices. There is also a time nature to the data. How do you model for the best price point to optimize profits?
Desafios específicos no meu dia a dia que resolvi com Python. Meu nível de proficiência em Python
The questions were mostly on basics of statistics and machine learning
Difference between RAG and Agentic RAG How to evaluate and improve the performance of a deployed model/agent
Round 1: Breadth Assessment This round evaluated the width of my knowledge across the Data Science spectrum. The structure was: Personal introduction Project walkthrough (one detailed project explanation) Technical questions spanning: Machine Learning: Data preprocessing and model evaluation Deep Learning: Optimizers and Gradient Descent Generative AI: RAG (Retrieval-Augmented Generation) and LLMs Coding problems: Printing series patterns and list/dictionary comprehension Difficulty level: Easy to moderate. Round 2: Deep Dive Technical Round This round went significantly deeper into specialized topics: Sentence transformers and their applications Benchmarking and evaluation methodologies RAG architecture and implementation Evaluation frameworks (RAGAs, DSPy) Transformer architecture fundamentals Advanced concepts: Training different word embeddings, contextual awareness, positional encoding
Bayes Rule and SVM
Tell us how you would tackle problem X.
1. Explain entropy and examples. 2. How will you design a system of digital art price prediction.
1.Basic of statatistics 2.Basic of ML 3.Basic of EDA
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