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Ascendum Solutions Data Scientist Interview Questions and Answers
Ascendum Solutions Data Scientist Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. What are you strength and weakness
- Ans.
Strength: Strong analytical skills, Weakness: Overthinking
Strength: Proficient in data analysis and interpretation
Strength: Ability to work with large datasets and complex algorithms
Weakness: Tendency to overanalyze situations and data
Weakness: Struggle with decision-making under pressure
- Q2. What is your career goal
- Ans.
To become a leading data scientist in the industry and make impactful contributions through data-driven insights.
Advance my skills in machine learning, data analysis, and programming languages like Python and R
Contribute to cutting-edge research and projects in data science
Lead and mentor a team of data scientists to drive innovation and solve complex problems
Collaborate with cross-functional teams to develop data-driv
(2 Questions)
- Q1. SQL, Python Basic questions
- Q2. ML project explanation
- Ans.
Developed a machine learning model to predict customer churn in a telecom company.
Collected and cleaned customer data including usage patterns and demographics.
Used classification algorithms like logistic regression and random forest to train the model.
Evaluated model performance using metrics like accuracy, precision, and recall.
Implemented the model in a production environment to monitor and predict customer churn.
Co...
Skills evaluated in this interview
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Manish Sharma
(4 Questions)
- Q1. Basics about regression models
- Q2. Basics of PCA, Boosting, bagging
- Q3. People Management
- Q4. Project information from resume
I applied via Walk-in and was interviewed in Jun 2024. There was 1 interview round.
The first round consisted of a general assessment that included tests on artificial intelligence, machine learning, data science, English, and aptitude, followed by a face-to-face interview.
Interview Questionnaire
1 Question
- Q1. Role of data scientist
Selected
I applied via Referral and was interviewed before Apr 2023. There were 2 interview rounds.
Normal Case study regarding Predictive modelling
(2 Questions)
- Q1. Ml Related questions
- Q2. Basic ML and Project related questions
I applied via Walk-in and was interviewed in May 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Self intro & Data & network related questions
Interview Preparation Tips
I applied via Walk-in and was interviewed before Apr 2021. There were 2 interview rounds.
Interview Preparation Tips
I applied via Approached by company and was interviewed before Feb 2021. There was 1 interview round.
Interview Preparation Tips
I applied via Naukri.com and was interviewed before Oct 2020. There was 1 interview round.
Interview Questionnaire
3 Questions
- Q1. Time management
- Q2. Your Achievements
- Q3. What would you like to do in your idle time
Interview Preparation Tips
I applied via Campus Placement and was interviewed before May 2020. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Basic finance questions on Derivatives, equity bonds, capital markets, etc.
Interview Preparation Tips
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Ascendum Solutions Data Scientist Interview Process
based on 1 interview
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