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I appeared for an interview in Feb 2025, where I was asked the following questions.
Top trending discussions
I applied via Recruitment Consultant and was interviewed in Jun 2020. There were 3 interview rounds.
I would implement data-driven strategies, enhance team collaboration, and focus on customer feedback to drive sales growth.
Leverage data analytics to identify market trends and customer preferences, enabling targeted sales strategies.
Foster a culture of collaboration by organizing regular team brainstorming sessions to share insights and strategies.
Implement a structured feedback loop with customers to continuously imp...
I applied via Recruitment Consulltant and was interviewed in Oct 2022. There were 4 interview rounds.
They share some apptitude questions and communication related questions to answer them...
Take a one topic from my self to discuss with other to communicate....how easily
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
Verbal, logical, Quantative test
I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.
SQL two problem statements to be solved in 30 mins
Python two problem statements to be solved in 30 mins
Around 15 MCQ on stats and aptitude
I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.
Any general knowledge topic
Short term goal is to enhance data analysis skills, long term goal is to become a data science expert.
Short term goal: Improve proficiency in SQL, Python, and data visualization tools
Long term goal: Obtain advanced certifications in machine learning and AI
Short term goal: Complete online courses on statistical analysis and data cleaning
Long term goal: Lead data science projects and mentor junior analysts
SQL, Analytical, Maths
I appeared for an interview in Apr 2025, where I was asked the following questions.
AI, or Artificial Intelligence, refers to machines simulating human intelligence to perform tasks and improve over time.
AI encompasses machine learning, where algorithms learn from data (e.g., recommendation systems).
Natural language processing (NLP) allows machines to understand and respond to human language (e.g., chatbots).
Computer vision enables machines to interpret and process visual information (e.g., facial rec...
based on 1 interview experience
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