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Decision Point Data Scientist Interview Questions and Answers for Experienced
Decision Point Data Scientist Interview Experiences for Experienced
2 interviews found
Basic Leetcode Questions
(3 Questions)
- Q1. Basic NLP Questions
- Q2. What is IF-IDF and why used?
- Ans.
IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.
It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.
IF-IDF helps in identifying the most relevant words in ...
- Q3. Word Embedding?
(1 Question)
- Q1. API and production level questions
(1 Question)
- Q1. General details and get to know questions.
(1 Question)
- Q1. Basics of statistics and Machine learning model
(1 Question)
- Q1. Machine learning model in detail
- Ans.
Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.
Machine learning models are trained on large datasets to identify patterns and relationships.
There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.
Supervised learning models are trained on labeled data to make predictions on ne...
(1 Question)
- Q1. Behavioural questiona and bit of machine learning
Interview Preparation Tips
I was interviewed by three different panels. All the rounds were technical. I cleared all the ronunds. The HR discussed salary and promised me that they will send an offer letter.
Later they called me and said there is no data scientist position. By mistake we had conducted interviews.
Never trust them. It is not only my experience. You may find for other poisitions also they do this.
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Campus Placement and was interviewed in Feb 2021. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. How you will figure out how many WhatsApp user are there in world
- Ans.
Estimating the number of WhatsApp users worldwide requires a combination of data sources and statistical methods.
Collect data from WhatsApp's official reports and announcements
Use third-party analytics tools to estimate user numbers
Analyze demographic and geographic trends to extrapolate global user numbers
Consider factors such as population growth and smartphone adoption rates
Compare with similar messaging apps to val
- Q2. Tell me about the how you will tackle a crude data for data analysis
- Ans.
I will start by understanding the data source and its quality, then clean and preprocess the data before performing exploratory data analysis.
Understand the data source and its quality
Clean and preprocess the data
Perform exploratory data analysis
Identify patterns and trends in the data
Use statistical methods to analyze the data
Visualize the data using graphs and charts
Iterate and refine the analysis as needed
Interview Preparation Tips
Skills evaluated in this interview
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Simple Aptitude questions, Data interpretation and verbal
(3 Questions)
- Q1. Basic questions on Data Analytics, Projects mentioned
- Q2. Code in SQL and python(moderate)
- Ans.
The candidate is asked to code in SQL and Python at a moderate level.
Use SQL to query data from databases
Use Python to manipulate and analyze data
Practice writing SQL queries and Python scripts
- Q3. Machine Learning
I applied via Campus Placement
1 hour aptitude test
(1 Question)
- Q1. What is one hot encoding
(1 Question)
- Q1. What is your long term goal
Selected
I applied via Approached by Company and was interviewed before Nov 2023. There were 2 interview rounds.
It was basic with puzzles and sql
Case study about a pharma company entering a new market, customer segmentation and also past projects discussion.
Selected
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
(1 Question)
- Q1. Sql, Python programming Questions
(1 Question)
- Q1. Retail, CPG based case study questions like offer allocation method for loyal customers
Associate Interview Questions & Answers
Institutional Shareholder Services
Anonymous
posted on 4 May 2023
Selected
I applied via Job Portal and was interviewed before May 2022. There were 3 interview rounds.
Python technical questions
Basic HR questions like background , why should i hire you
Selected
I applied via AmbitionBox and was interviewed in May 2023. There were 4 interview rounds.
Mathametics and statistics besed on the subject .
This test also i interested.
(2 Questions)
- Q1. I knlw the statistical technical skill.
- Q2. Data analysis with statistical tools
- Ans.
Data analysis involves using statistical tools to analyze and interpret data.
Statistical tools help in summarizing and visualizing data
They can be used to identify patterns, trends, and relationships in the data
Common statistical tools include regression analysis, hypothesis testing, and clustering
Statistical tools help in making data-driven decisions and predictions
Skills evaluated in this interview
Associate Interview Questions & Answers
Institutional Shareholder Services
Anonymous
posted on 11 Mar 2024
Selected
I applied via Recruitment Consulltant and was interviewed before Mar 2023. There were 4 interview rounds.
Program for binary search
(1 Question)
- Q1. Student, Course and Professor timetable program
(1 Question)
- Q1. How does custom registry in IBM Websphere work?
- Ans.
Custom registry in IBM Websphere allows users to define their own user repositories for authentication and authorization.
Custom registry can be configured in the security.xml file of the Websphere application server.
Users can define their own LDAP servers, databases, or custom Java classes as user repositories.
Custom registry provides flexibility in integrating with different authentication and authorization systems.
Ex...
(1 Question)
- Q1. Basic compensation and pay related details
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Decision Point Interviews By Designations
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Decision Point Data Scientist Interview Process for Experienced
based on 1 interview
Interview experience
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Decision Point Data Scientist Reviews and Ratings
based on 10 reviews
Rating in categories
|
Senior Business Analyst
53
salaries
|  ₹10 L/yr - ₹17.3 L/yr |
|
Data Engineer
48
salaries
| ₹5 L/yr - ₹12.4 L/yr |
|
Analytics Consultant
48
salaries
| ₹13 L/yr - ₹27 L/yr |
|
Business Analyst
48
salaries
| ₹6 L/yr - ₹11 L/yr |
|
Data Scientist
43
salaries
| ₹7 L/yr - ₹15 L/yr |
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