Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Fragma Data Systems (Bengaluru) nel mese di lug 2020
Colloquio
Interview process had total 4 rounds. First round was taken by the HR, simple basic details were asked and skill set knowledge.
Total process took 10 days almost.
Second round was technical, taken by someone from the company. Questions were basically on Statistics, predictive modeling, Unsupervised learning and deep learning too.
Third round was the senior technical manager/Data Science Director - Simple case study was discussed, total 3-4 questions were asked and had to answer for them. Interviewer was nice and supportive.
Fourth round was the programming round. It had one case study questions on the basic EDA, feature engineering and another was logical.
After clearing all rounds and constructive feedback , HR didn't come back and rolled out any offer and made certain excuses.
Domande di colloquio [1]
Domanda 1
1. Random forest vs. GBDT
2. p-values, distribution and other statistical test
3. K-Means and hierarchical clustering
4. DNN, CNN, Transposed convolution and basic LSTM
5. Case study discussion
Ho presentato la mia candidatura online. La procedura ha richiesto più di una settimana. Ho sostenuto un colloquio presso Fragma Data Systems (Bengaluru) nel mese di gen 2024
Colloquio
I have attended one technical round... after that i was shortlisted for next round... the HR is very humble.. The interviewer was also good.. the overall experience was great.. it was nice to interact with all of them
Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 4 giorni. Ho sostenuto un colloquio presso Fragma Data Systems (Bengaluru) nel mese di ott 2020
Colloquio
1. Dev Skiller Test - The questions were too basic. From Pandas, confusion matrix, etc
2. Technical Interview - Mostly based out of your resume and a few FAQs of Data science(like difference between RF and XGBoost, how to deal with imbalanced data, Lemmatization and Stemming, etc...)
3. Interview with the Head of Analytics - This is a tough one. Scenario based questions mostly related to Banking or NLP will be asked. In NLP, you will be asked to explain some of the latest topics.
4. HR
Domande di colloquio [1]
Domanda 1
Questions would be from your resume/projects. Basic FAQs(like difference between RF and XGBoost, how to deal with imbalanced dataset).
There will be some tough questions as well. like you will be given a scenario and asked to explain how would you deal with the scenario.
Let's say a banking client has asked to make a credit risk model for the bank. What will be your approach. what all data would you be asking from them. From the data which has been provided to you, how would you build a model.
How was your model being used for making predictions?