Technical discussion on background, take home Data Science problem testing data wrangling, data processing, feature engineering, model development, validation and testing, with visualizations. problem statement presentations - one or two, ML interview covering various concepts of ML, Deep Learning and cloud knowledge (if any) in depth
Questions d'entretien [1]
Question 1
How did you pre-process data for sentiment analysis project?
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Quantiphi (Bengaluru) en oct. 2025
Entretien
Not that much tough . If you have learn ml neither as a pro or as a beginner . You can get that opportunity by just reaching out to interview process . 1 st interview will online that will culture fit round and 2 nd round will offline than a online hr interview in the end .
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Quantiphi (Bengaluru) en oct. 2025
Entretien
First round - Basic Python coding questions like sort the dictionary, input output,swap the item in dictionary , sort the dictionary according to values, sort the dictionary in descending order
then project discussion
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Quantiphi (Mumbai) en sept. 2025
Entretien
1. OA consists of logical reasoning, quant, English, and three DSA questions
In DSA, one was one array manipulation (easy), two pointers, and the last one was a graph question
Questions d'entretien [1]
Question 1
Resume-based, detailed explanations of your projects, core concepts of Machine Learning, different regularization/ activation functions, different models and their architecture