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
Preguntas de entrevista [1]
Pregunta 1
How did you pre-process data for sentiment analysis project?
Me postulé en línea. Acudí a una entrevista en Quantiphi (Mumbai) en jun 2026
Entrevista
Technical interview interviewer will ask you about Python basic question and one DSA questions Be calm and just write first pseudo code understand the question first and then write the code
Me postulé a través de una facultad o universidad. Acudí a una entrevista en Quantiphi (Bengaluru) en oct 2025
Entrevista
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 .
Me postulé a través de una facultad o universidad. Acudí a una entrevista en Quantiphi (Bengaluru) en oct 2025
Entrevista
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