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Optimizing a slow page involves reducing file sizes, minimizing HTTP requests, and utilizing caching.
Minimize file sizes by compressing images and using minified code
Reduce HTTP requests by combining files and using asynchronous loading
Utilize caching by setting expiration headers and using a content delivery network
Consider using a content delivery network to distribute content closer to users
Use a tool like Goog...
There are several types of risks, including physical, financial, reputational, and cybersecurity risks.
Physical risks: hazards that can cause physical harm or damage to property
Financial risks: potential losses or negative impacts on financial performance
Reputational risks: damage to a company's reputation or brand image
Cybersecurity risks: threats to the confidentiality, integrity, and availability of information...
Financial modeling involves creating a mathematical representation of a company's financial situation.
Gather relevant financial data
Identify key drivers and assumptions
Create a financial model using spreadsheets or specialized software
Test and validate the model
Use the model to make informed financial decisions
Update the model regularly to reflect changes in the company's financial situation
Creating user stories involves understanding user needs and translating them into actionable tasks for development.
Identify key stakeholders and their needs, e.g., a doctor needing quick access to patient records.
Break down the case story into specific tasks, e.g., 'As a doctor, I want to view patient history to make informed decisions.'
Prioritize user stories based on impact and feasibility, e.g., urgent features...
Calendarisation is the process of converting a business plan into a calendar-based schedule.
It involves breaking down a plan into specific time periods
It helps in tracking progress and meeting deadlines
It is commonly used in project management
Example: Creating a calendar schedule for a marketing campaign
Enterprise value (EV) measures a company's total value, considering equity, debt, and cash.
EV = Market Capitalization + Total Debt - Cash and Cash Equivalents.
Market Capitalization is calculated as share price multiplied by total outstanding shares.
Total Debt includes both short-term and long-term debt obligations.
Cash and Cash Equivalents are liquid assets that can be quickly converted to cash.
Example: If a compa...
Automation testing is the use of software tools to execute pre-scripted tests on a software application.
Automation testing saves time and effort compared to manual testing
It can be used for regression testing, load testing, and performance testing
Tools like Selenium, Appium, and TestComplete are commonly used for automation testing
Automation testing can also be integrated with Continuous Integration/Continuous Dep...
Sharpe ratio is calculated by dividing the excess return of an investment by its standard deviation.
Calculate the average return of the investment over a period of time
Calculate the risk-free rate of return over the same period
Calculate the standard deviation of the investment's returns
Subtract the risk-free rate from the average return to get the excess return
Divide the excess return by the standard deviation to ...
Volatility trading is a strategy that involves profiting from changes in the price of an asset due to fluctuations in its volatility.
Volatility trading involves buying and selling options or other derivatives that are sensitive to changes in volatility
Traders may use various strategies such as straddles, strangles, or spreads to profit from volatility
Volatility trading can be risky as sudden changes in volatility ...
Ev/ EBITDA ratio is a financial metric used to evaluate a company's value compared to its earnings before interest, taxes, depreciation, and amortization.
EV/EBITDA is calculated by dividing a company's enterprise value (EV) by its EBITDA.
It is a popular valuation metric used to compare companies in the same industry.
A lower EV/EBITDA ratio indicates that a company may be undervalued, while a higher ratio may sugge...
I appeared for an interview in Dec 2024.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model c...
Overfitting is when a model learns the training data too well, leading to poor performance on new, unseen data.
Overfitting occurs when a model is too complex and captures noise in the training data.
It can be mitigated by using techniques like cross-validation, regularization, and early stopping.
Examples of overfitting include a decision tree with too many branches or a neural network with too many hidden layers.
Discrete variables can only take specific values, while continuous variables can take any value within a range.
Discrete variables are countable and have distinct values, such as number of students in a class.
Continuous variables can take any value within a range, such as height or weight.
Discrete variables are often represented by integers, while continuous variables are represented by real numbers.
I applied via Campus Placement
Just a normal aptitude test
I applied via Approached by Company and was interviewed in Jun 2024. There were 4 interview rounds.
I have a Bachelor's degree in Economics and a Master's degree in Finance.
Bachelor's degree in Economics
Master's degree in Finance
I have over 5 years of experience in the TMT (Technology, Media, and Telecommunications) domain, including market research, financial analysis, and strategic planning.
Conducted market research on emerging technologies and trends in the TMT sector
Performed financial analysis for technology companies, evaluating their performance and growth potential
Developed strategic plans for telecommunications companies to expand the...
The steps for report writing and company profiling involve research, data collection, analysis, and presentation.
Research the company's background, industry, competitors, financials, and market trends.
Collect relevant data from various sources such as financial reports, news articles, and industry reports.
Analyze the data to identify key insights, trends, and opportunities.
Create a structured report outlining the compa...
Sources for preparing a report include primary research, secondary research, data analysis, expert opinions, and industry reports.
Primary research such as surveys, interviews, and observations
Secondary research from academic journals, books, and online databases
Data analysis using statistical tools and software
Expert opinions from industry professionals or consultants
Industry reports from market research firms or gover...
Strategies to Implement Cybersecurity
My future plan to bring more business involves expanding our client base through targeted marketing strategies and building strong relationships with existing clients.
Implementing targeted marketing campaigns to reach potential clients in our industry
Leveraging data analytics to identify new business opportunities and trends
Enhancing customer retention strategies to strengthen relationships with existing clients
Explori...
Addressing client queries involves active listening, thorough analysis, and effective communication to resolve issues promptly.
Listen actively to the client's concerns to fully understand the issue.
Analyze the report data to identify any discrepancies or errors.
Communicate findings clearly, providing context and explanations.
If necessary, collaborate with team members to gather additional insights.
Offer solutions or ad...
I applied via Approached by Company and was interviewed in Sep 2024. There were 4 interview rounds.
I am a detail-oriented research analyst with a strong background in data analysis and market research.
Completed a Bachelor's degree in Economics with a focus on quantitative analysis
Proficient in statistical software such as SPSS and Excel
Experience conducting primary and secondary research for market trends
Strong analytical skills and attention to detail
Ability to present findings in a clear and concise manner
I have over 5 years of experience as a Research Analyst in the finance industry.
Conducted market research and analysis to identify investment opportunities
Prepared reports and presentations for senior management
Utilized financial modeling and forecasting techniques
Collaborated with team members to analyze data and draw conclusions
Stayed updated on industry trends and regulations
90 min. test many technical questions
I applied via Referral and was interviewed in Aug 2024. There were 3 interview rounds.
Business analysis involves identifying business needs, defining solutions, and facilitating change.
Business analysis involves identifying business needs and problems
It includes defining solutions to address those needs
Business analysts facilitate change within an organization by recommending improvements
They use tools such as SWOT analysis, PESTLE analysis, and stakeholder interviews
Examples of business analysis tasks ...
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
I appeared for an interview in May 2025, where I was asked the following questions.
Arrow functions provide a concise syntax and lexical scoping of 'this', unlike traditional function expressions.
Syntax: Arrow functions use '=>' syntax, e.g., const add = (a, b) => a + b; vs function add(a, b) { return a + b; }.
Lexical 'this': Arrow functions do not have their own 'this' context; they inherit 'this' from the enclosing scope.
No 'arguments' object: Arrow functions do not have their own 'arguments' ...
useMemo and useCallback optimize performance by memoizing values and functions in React components.
useMemo: Caches the result of a computation to avoid recalculating on every render.
Example: const memoizedValue = useMemo(() => computeExpensiveValue(a, b), [a, b]);
useCallback: Returns a memoized version of a callback function that only changes if one of the dependencies has changed.
Example: const memoizedCallback = u...
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
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pandas numpy sql questions basic to intermediate
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Some of the top questions asked at the Evalueserve interview -
The duration of Evalueserve interview process can vary, but typically it takes about less than 2 weeks to complete.
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