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I applied via Naukri.com and was interviewed before Jan 2021. There were 2 interview rounds.
Q1. What is Confusing Matrix? Real life example .
Q2. What is important processes for data pre processing ?
Q3. Use of lambda expression ?
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I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.
Based on my CV, they assigned me a task related to data migration.
I appeared for an interview in May 2025, where I was asked the following questions.
Handling missing data involves identifying, assessing, and applying appropriate techniques to manage gaps in datasets.
Identify missing data: Use methods like 'isnull()' in Python to find missing values.
Assess the impact: Determine how missing data affects your analysis and results.
Imputation: Replace missing values with mean, median, or mode. For example, use the median for skewed distributions.
Remove missing data: If ...
Inner join returns matching records from both tables, while left join returns all records from the left table and matching from the right.
Inner Join: Combines rows from two tables where there is a match in both tables.
Left Join: Returns all rows from the left table and matched rows from the right table; unmatched rows from the right will show NULL.
Example of Inner Join: SELECT * FROM TableA INNER JOIN TableB ON TableA....
Choosing the right visualization depends on data type, audience, and insights needed.
Use bar charts for categorical comparisons (e.g., sales by region).
Line charts are ideal for trends over time (e.g., monthly revenue).
Pie charts can show proportions but are less effective for many categories.
Scatter plots help identify relationships between two variables (e.g., age vs. income).
Heatmaps visualize data density or correl...
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Allows users to summarize and analyze large datasets
Can easily reorganize data by dragging and dropping fields
Provides options to calculate sums, averages, counts, etc. for data
Helps in creating interactive reports and charts
Useful for identifying trends and patterns in data
I handle missing or corrupted data by identifying, analyzing, and applying appropriate techniques to ensure data integrity.
Identify missing data using methods like 'isnull()' in Python's pandas library.
Analyze the extent of missing data to determine if it's significant enough to impact results.
Use imputation techniques, such as replacing missing values with the mean or median, to maintain dataset size.
Consider removing...
Analyzed customer feedback data to improve product features, leading to a 20% increase in customer satisfaction and sales.
Conducted a sentiment analysis on customer reviews to identify common pain points.
Presented findings to the product team, highlighting the need for improved user interface.
Collaborated with marketing to adjust messaging based on customer preferences.
Tracked sales data post-implementation, showing a ...
posted on 23 Sep 2023
I applied via Naukri.com and was interviewed in Aug 2023. There were 3 interview rounds.
They will give you to study Abode Magento to study.
They will ask you create a presentation and to present it.
Even after getting the job offer and joining the company please don't think that they will confirm your position. Anytime the higher management will ask you to give test and if you don't perform they will ask you to leave.
posted on 20 Sep 2024
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
I am a dedicated and detail-oriented business analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Business Administration
I have experience in conducting market research and analyzing data to identify trends
I am proficient in using tools like Excel, SQL, and Tableau for data analysis
I have excellent communication skills and can effectively collaborate with cross-functional...
I gather and document business requirements through stakeholder interviews, workshops, and detailed analysis of business processes.
Conduct stakeholder interviews to understand their needs and expectations. For example, interviewing department heads to gather insights on their challenges.
Facilitate workshops with cross-functional teams to brainstorm and prioritize requirements. This can include using techniques like bra...
D/W functional and non-functional requirements are essential for defining system capabilities and performance criteria.
Functional requirements specify what the system should do, e.g., user authentication, data processing.
Non-functional requirements define how the system performs tasks, e.g., response time, security, scalability.
Example of functional: 'The system must allow users to generate reports.'
Example of non-func...
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