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I have extensive knowledge of both Windows and Linux based servers.
I am proficient in managing and configuring Windows Server operating systems.
I have experience in setting up and maintaining Linux servers, including Ubuntu, CentOS, and Red Hat.
I am familiar with server virtualization technologies like VMware and Hyper-V.
I have knowledge of server security best practices and can implement firewall rules and access cont...
I can benefit your company by leveraging my expertise in system analysis to improve efficiency and optimize processes.
I have a strong understanding of system analysis methodologies and tools
I can identify and analyze business requirements to develop effective solutions
I can streamline processes and improve efficiency through system optimization
I can collaborate with cross-functional teams to ensure successful implement...
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I appeared for an interview in Mar 2025, where I was asked the following questions.
I have over 3 years of experience in data analysis, focusing on data visualization, statistical analysis, and reporting.
Worked with SQL to extract and manipulate data from large databases, improving query efficiency by 30%.
Developed interactive dashboards using Tableau, which helped stakeholders visualize key performance indicators.
Conducted A/B testing for marketing campaigns, leading to a 15% increase in conversion r...
My passion for data-driven decision-making and problem-solving led me to pursue a career as a Data Analyst.
I enjoy uncovering insights from data, like identifying trends in sales data to improve marketing strategies.
The challenge of transforming raw data into actionable recommendations excites me, as seen in my previous project analyzing customer feedback.
I am motivated by the opportunity to contribute to data-driven d...
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...
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.
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 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...
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 ...
I prioritize stakeholder requirements through effective communication, negotiation, and alignment with project goals.
Identify and document all stakeholder requirements to understand the full scope.
Facilitate meetings to discuss conflicting requirements and encourage open dialogue.
Use prioritization techniques, such as MoSCoW (Must have, Should have, Could have, Won't have), to assess the importance of each requirement.
...
based on 15 reviews
Rating in categories
System Engineer
118
salaries
| ₹3.3 L/yr - ₹5.8 L/yr |
System Analyst
69
salaries
| ₹4.1 L/yr - ₹8 L/yr |
Senior System Analyst
54
salaries
| ₹7 L/yr - ₹10 L/yr |
Consultant
19
salaries
| ₹8.5 L/yr - ₹13 L/yr |
System Engineer Trainee
19
salaries
| ₹3.2 L/yr - ₹4 L/yr |
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