Naseba Interview Questions and Answers

Q1. Walk me through your resume. About insurance process what is policy life cycle.
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Q2. Tell me about your previous role.
Ans. 
I was responsible for analyzing and improving processes to increase efficiency and productivity.
• Led process improvement initiatives to streamline operations

• Identified bottlenecks and implemented solutions to optimize workflows

• Collaborated with cross-functional teams to gather data and feedback

• Utilized data analysis tools to track performance metrics

• Developed and implemented process documentation and training materials
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Q1. Asked about Gallagher.
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Q2. What do you know about Gallagher.
Ans. 
Gallagher is a global insurance brokerage, risk management, and consulting firm.
• Founded in 1927 by Arthur J. Gallagher

• Headquartered in Rolling Meadows, Illinois

• Provides insurance, risk management, and consulting services globally

• Offers services in areas such as commercial insurance, employee benefits, and personal insurance

• Has a strong focus on client relationships and personalized service
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Q1. Situation based questions were asked.
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Q2. How would you built the trust with the stakeholders
Ans. 
Building trust with stakeholders involves open communication, transparency, and delivering on commitments.
• Establish open lines of communication with stakeholders to address concerns and provide updates

• Be transparent about project progress, challenges, and decisions

• Deliver on commitments and follow through on promises to build credibility

• Seek feedback from stakeholders and incorporate their input into decision-making pr...read more
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Shortlisted students were divided in group of 19

Selected students from gd got the call for case study round

Q1. Questions were based on the case study and guesstimates
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Q2. No. of aeroplane flying in the sky right now
Ans. 
It is impossible to accurately determine the exact number of airplanes flying in the sky at any given moment.
• The number of airplanes in the sky constantly changes due to take-offs, landings, and flights being at different stages.

• Factors such as time of day, weather conditions, and air traffic also affect the number of airplanes in the sky.

• Air traffic control systems may provide estimates of the number of airplanes in a
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Q3. How will u utilise 1 acre of land provided to u near ur college
Ans. 
I would utilize the 1 acre of land near my college for creating a sustainable community garden.
• Establishing vegetable and fruit gardens to promote healthy eating among students

• Setting up a composting area to reduce waste and enrich the soil

• Creating a space for outdoor classes and events to enhance learning and community engagement
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Q4. How to start a starbuck franchisein ur town
Ans. 
To start a Starbucks franchise in your town, you need to follow a specific process set by the company.
• Contact Starbucks corporate office to inquire about franchise opportunities

• Meet the financial requirements and submit a franchise application

• Find a suitable location for the Starbucks store

• Complete the required training and adhere to Starbucks' standards and guidelines
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Q5. Sql extraction of the given table and data
Ans. 
Use SQL query to extract data from a given table
• Use SELECT statement to retrieve data from the table

• Specify the columns you want to retrieve after SELECT

• Use FROM clause to specify the table name

• Add conditions using WHERE clause if needed

• Use ORDER BY clause to sort the results if necessary
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1 good coding question and 33 mcqs

Q1. Easy questions are asked
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Q2. Like create a database of the collages composes of students and professors
Ans. 
Create a database to store information about colleges, students, and professors.
• Create tables for colleges, students, and professors

• Include columns for relevant information such as name, ID, courses, etc.

• Establish relationships between the tables using foreign keys

• Use SQL queries to insert, update, and retrieve data

• Consider normalization to avoid data redundancy
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Q1. Some hr questions
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Q2. Project discussions
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Q1. Hr questions about family
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Q1. SQL problem window function
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Q2. SQL code like join and scenerio
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Q1. Design round for adf pipeline
Ans. 
Designing an ADF pipeline for data processing
• Identify data sources and destinations

• Define data transformations and processing steps

• Consider scheduling and monitoring requirements

• Utilize ADF activities like Copy Data, Data Flow, and Databricks

• Implement error handling and logging mechanisms
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Q2. Azure synapses and adf adb
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Q1. Expected ctc and current ctc negotiations
Ans. 
Discussing expected and current salary for negotiation purposes.
• Be honest about your current salary and provide a realistic expectation for your desired salary.

• Highlight your skills and experience that justify your desired salary.

• Be open to negotiation and willing to discuss other benefits besides salary.

• Research industry standards and salary ranges for similar positions to support your negotiation.

• Focus on the value y...read more
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Q2. Relocation and remote work until ofc open for Pune location
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Q1. In Angular input and output parameters.
Ans. 
In Angular, input parameters are used to pass data into a component, while output parameters are used to emit events from a component.
• Input parameters are defined using the @Input decorator in Angular.

• Output parameters are defined using the @Output decorator in Angular.

• Input parameters allow parent components to pass data into child components.

• Output parameters allow child components to emit events to parent components...read more
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Q2. Write inner join query using two table
Ans. 
Inner join query is used to retrieve records that have matching values in both tables.
• Use SELECT statement to specify the columns you want to retrieve

• Use INNER JOIN keyword to combine the tables based on a related column

• Specify the ON clause to define the relationship between the tables
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Q1. Fibonacci series code
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Q2. Sql query related question
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Q1. Package discussion expectation and they offer
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Q2. Joining date, and the policies of company
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30 easy aptitude questions.

Q1. Video analysis. Summarize the video in bullet points.
Ans. 
Video analysis involves summarizing the content of a video in bullet points.
• Identify key themes or topics discussed in the video

• Highlight important events or moments

• Note any key statistics or data presented

• Summarize the main conclusions or takeaways

• Include any notable visuals or graphics shown
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Q2. Summarize all the examples you saw in the video.
Ans. 
The video showcased various examples of data analysis and visualization techniques.
• Exploratory data analysis using histograms and scatter plots

• Predictive modeling using regression and classification algorithms

• Time series analysis for forecasting future trends

• Text mining for sentiment analysis

• Clustering techniques for customer segmentation
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Q3. Tell me about yourself
Ans. 
I am a recent graduate with a degree in Computer Science and a passion for data analysis and machine learning.
• Recent graduate with a degree in Computer Science

• Passionate about data analysis and machine learning

• Experience with programming languages like Python and R

• Completed projects involving data visualization and predictive modeling
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Q4. Discussion on projects.
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Q5. What do you know about mu Sigma?
Ans. 
Mu Sigma is a data analytics and decision sciences company that helps organizations make data-driven decisions.
• Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.

• They provide services in areas such as marketing analytics, supply chain analytics, and risk analytics.

• Mu Sigma has worked with Fortune 500 companies across various industries to help them leverage data for better decision-making.

• The compan...read more
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Q6. Why do you want to join Mu Sigma?
Ans. 
I want to join Mu Sigma because of their reputation for providing challenging and impactful data science projects.
• Mu Sigma is known for working on cutting-edge data science projects with top clients

• I am excited about the opportunity to work with a diverse team of data scientists and learn from their expertise

• I believe Mu Sigma's focus on innovation and problem-solving aligns with my own career goals
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Q7. SQL and technical questions based on your projects or tech stack.
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Q8. What challenges you faced during your projects?
Ans. 
I faced challenges in data cleaning, feature engineering, and model optimization during my projects.
• Data cleaning: Dealing with missing values, outliers, and inconsistencies in the data.

• Feature engineering: Creating new features from existing data to improve model performance.

• Model optimization: Tuning hyperparameters and selecting the best algorithm for the problem.

• Example: In a project predicting customer churn, I ha...read more
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It was an hour-long coding round, asked questions on basic pandas slicing dicing, building simple regression model, handling class imbalance in SVM

Q1. Mostly resume based, went deep into projects and asked basics of ML algorithms, ML Ops and OOPS concepts
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Q1. Resume based questions, basics of Machine Learning, and small case study (problem formulation and feature brainstorming)
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Q1. Different types of ML models, how they work, differences among them. Types of performance metrics, pros and cons of them, etc.
Ans. 
Different types of ML models, how they work, differences among them, types of performance metrics, pros and cons.
• Types of ML models include linear regression, decision trees, support vector machines, neural networks, etc.

• ML models work by learning patterns from data to make predictions or decisions.

• Differences among models include complexity, interpretability, scalability, and performance.

• Performance metrics for ML mod...read more
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Develop a solution for inventory optimization of a Shoe retailer. Forecast sales and plan inventory at a store level for a national seller.

Why you want to join the company, Simple case (how do you use analytics to clear stock of a particular seasonal product after the peak season).

Q1. Previous job experience and data
Ans. 
I have over 10 years of experience in data analysis and management in various industries.
• Managed and analyzed large datasets to identify trends and make data-driven decisions

• Implemented data quality control measures to ensure accuracy and reliability of data

• Collaborated with cross-functional teams to develop data-driven strategies and solutions

• Utilized data visualization tools such as Tableau and Power BI to present fi
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Q2. Tell me about yourself
Ans. 
Experienced Senior Advisor with a background in finance and strategic planning.
• Over 10 years of experience in advising senior management on financial decisions

• Skilled in developing and implementing strategic plans to drive business growth

• Strong analytical and problem-solving skills

• Excellent communication and interpersonal abilities

• Previously advised a Fortune 500 company on restructuring their investment portfolio
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Q1. 1uevusiqw aiw us aiwkak
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Q2. Auanuwwn aiwnua auw aja ywa ah
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