Evalueserve Interview Questions, Process, and Tips

Q1. One pager profile
Ans. 
Experienced Senior Business Analyst with strong analytical skills and proven track record of driving business growth through data-driven insights.
• 10+ years of experience in business analysis

• Expertise in data analysis, market research, and process improvement

• Strong communication and presentation skills

• Proven ability to translate business requirements into technical solutions

• Track record of successfully implementing stra
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Q2. Transaction and precedent comps
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Market Research Assignment

Q1. What were your past projects?
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Q2. How to design GTM?
Ans. 
Designing a Go-To-Market strategy involves identifying target markets, defining value propositions, setting pricing and distribution strategies, and creating marketing and sales plans.
• Identify target markets and customer segments

• Define value propositions and unique selling points

• Set pricing strategies based on market research and competition analysis

• Develop distribution strategies to reach target customers effectively

• C...read more
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Questions related to basic maths and english

Q1. Discussion about the project
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Q1. What is Transformers and how they work
Ans. 
Transformers are models used in natural language processing tasks, known for their ability to handle long-range dependencies.
• Transformers use self-attention mechanism to weigh the importance of different words in a sentence.

• They consist of encoder and decoder layers, with each layer containing multi-head attention and feed-forward neural network.

• Examples of transformer models include BERT, GPT-3, and TransformerXL.
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Q2. How to train a model with imbalance data
Ans. 
Use techniques like oversampling, undersampling, SMOTE, or ensemble methods to train a model with imbalanced data.
• Use oversampling to increase the number of minority class samples.

• Use undersampling to decrease the number of majority class samples.

• Use Synthetic Minority Over-sampling Technique (SMOTE) to generate synthetic samples for the minority class.

• Utilize ensemble methods like Random Forest or Gradient Boosting to
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Q1. Reason for job change
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Q1. First online assessment. Fundamental question from all computer science subjects.
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