Brane Enterprises
Kavin Engineering And Services Interview Questions and Answers
Q1. What business processes are you aware of and explain them
Business processes are a set of activities that organizations perform to achieve their goals.
Sales process - involves identifying potential customers, qualifying them, and closing deals
Supply chain process - involves the flow of goods and services from suppliers to customers
Human resources process - involves recruiting, hiring, training, and managing employees
Financial process - involves managing financial transactions, budgeting, and forecasting
Marketing process - involves p...read more
Q2. How to handle a nee problem or issue
Handling a new problem or issue requires a systematic approach and effective communication.
Identify the problem and gather relevant information
Analyze the situation and brainstorm possible solutions
Evaluate the options and select the best course of action
Communicate the problem and solution to stakeholders
Implement the solution and monitor its effectiveness
Q3. Which ai tools have you used so far and how do you keep updated with latest advancements?
I have used tools like TensorFlow, IBM Watson, and Google Cloud AI. I stay updated through online courses, conferences, and research papers.
Used TensorFlow for deep learning projects
Utilized IBM Watson for natural language processing tasks
Worked with Google Cloud AI for image recognition applications
Stay updated through online courses, conferences, and research papers
Q4. How do you prepare before requirement gathering session
I prepare by reviewing project scope, identifying key stakeholders, setting objectives, and creating a list of questions.
Review project scope to understand the goals and requirements
Identify key stakeholders to involve in the session
Set clear objectives for the session to ensure focus
Create a list of questions to guide the discussion and gather necessary information
Q5. What do you bring to the table? What is Prodman?
Prodman is a comprehensive product management tool that helps streamline product development processes.
Prodman is a software solution designed to assist product managers in organizing and managing product development tasks.
It offers features such as task tracking, collaboration tools, and analytics to improve efficiency and decision-making.
Prodman helps teams prioritize tasks, set deadlines, and communicate effectively to ensure successful product launches.
Q6. Deep dive into pharma domain.
Pharma domain involves research, development, manufacturing, and distribution of drugs and medicines.
Pharmaceutical companies invest heavily in research and development to discover new drugs and treatments.
The manufacturing process involves strict quality control measures to ensure the safety and efficacy of the drugs.
Distribution involves partnerships with healthcare providers and regulatory compliance.
The pharma industry is heavily regulated by government agencies such as t...read more
Q7. Merge Two sorted Linked List
Merge two sorted linked lists into a single sorted linked list.
Create a new linked list to store the merged result.
Compare the values of the nodes from both input lists and add the smaller value to the result list.
Move the pointer of the list with the smaller value to the next node and continue until both input lists are empty.
Q8. Longest Increasing Subsequnce
Find the length of the longest increasing subsequence in an array.
Use dynamic programming to keep track of the longest increasing subsequence ending at each index.
Initialize an array to store the length of the longest increasing subsequence ending at each index.
Iterate through the array and update the length of the longest increasing subsequence ending at each index based on previous values.
Return the maximum value in the array as the length of the longest increasing subseque...read more
Q9. Evolution of NLP
NLP has evolved from rule-based systems to machine learning models, enabling more accurate and nuanced language processing.
NLP started with rule-based systems like ELIZA in the 1960s
Advancements in machine learning led to the development of statistical NLP models like Hidden Markov Models and Conditional Random Fields
Recent breakthroughs in deep learning have revolutionized NLP with models like BERT and GPT-3
NLP applications now include sentiment analysis, machine translation...read more
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