Manager - BIU
Manager - BIU Interview Questions and Answers
Q1. Case Study: How would you choose between a CFL bulb and an ordinary bulb
Choosing between CFL and ordinary bulb depends on factors like energy efficiency, cost, and usage.
Consider the energy efficiency of the bulbs
Compare the cost of the bulbs
Evaluate the usage and purpose of the bulbs
Take into account the environmental impact
Consider the lifespan of the bulbs
Assess the availability of the bulbs in the market
Q2. Suggest a business idea where you would use data analytics
Using data analytics to optimize supply chain management
Analyze historical sales data to forecast demand and optimize inventory levels
Use predictive analytics to identify potential bottlenecks in the supply chain
Apply data mining techniques to identify patterns and trends in supplier performance
Utilize real-time data analytics to monitor and track shipments for timely delivery
Implement machine learning algorithms to optimize route planning and reduce transportation costs
Q3. Guesstimate: Estimate the number of pizzas consumed in a day in Chennai
Estimate the number of pizzas consumed in a day in Chennai.
Consider the population of Chennai
Estimate the percentage of people who consume pizzas
Determine the average number of pizzas consumed per person
Factor in the number of pizza outlets in Chennai
Consider the popularity of pizza delivery services
Take into account special occasions and events
Consider the average size of pizzas consumed
Q4. Explain how you would implement image processing
Image processing can be implemented using various techniques and algorithms to analyze, enhance, and manipulate digital images.
Image processing involves applying mathematical operations to images to extract useful information or enhance their visual quality.
Techniques like filtering, edge detection, segmentation, and feature extraction can be used in image processing.
Algorithms such as convolution, Fourier transform, and morphological operations are commonly used in image pro...read more
Q5. Explain the steps involved in Voice Recognition
Voice recognition involves several steps to convert spoken words into text.
Pre-processing: Removing noise and normalizing audio signals.
Feature extraction: Identifying key features in the speech signal.
Acoustic modeling: Creating statistical models to represent speech sounds.
Language modeling: Constructing a language model to predict word sequences.
Decoding: Matching the speech signal to the most likely word sequence.
Post-processing: Correcting errors and improving accuracy.
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