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I applied via Referral and was interviewed in Jun 2024. There was 1 interview round.
Got the offer last month after 4 rounds of interviews.
Case studies in each round based on different business problems about improving revenues, profits, cost reduction and identifying problems in stagnant/dropping revenues/profits.
I applied via Approached by Company and was interviewed before Nov 2021. There were 4 interview rounds.
General mental math and logical ability
Ability to deconstruct a case and provide insights
Top trending discussions
I was interviewed in Dec 2016.
I applied via Recruitment Consultant and was interviewed in Oct 2019. There was 1 interview round.
Cloud readiness assessments and strategy involve evaluating an organization's ability to adopt cloud technology and developing a plan for multi-cloud migration.
Assess current IT infrastructure and identify areas for improvement
Determine business goals and objectives for cloud adoption
Develop a comprehensive cloud migration strategy
Consider security, compliance, and data management requirements
Evaluate different cloud p...
I have extensive experience in designing and implementing resilient and scalable cloud architectures for various projects.
Utilizing cloud-native services such as AWS Lambda, S3, and DynamoDB to build serverless architectures
Implementing auto-scaling groups and load balancers to ensure high availability and scalability
Designing fault-tolerant architectures with multi-region redundancy and disaster recovery mechanisms
Usi...
NoSQL databases like Redis, Cassandra, and MongoDB should be used when dealing with large amounts of unstructured data.
Use NoSQL databases when dealing with large amounts of unstructured data
Use NoSQL databases when scalability is a concern
Use NoSQL databases when flexibility is needed
Do not use NoSQL databases when dealing with structured data
Do not use NoSQL databases when ACID compliance is required
I applied via Campus Placement and was interviewed before Jan 2024. There were 2 interview rounds.
GD on a simple current affairs topic
I bring a unique combination of analytical skills, strategic thinking, and industry expertise to drive impactful solutions for your organization.
Proven track record of delivering successful strategic projects for top clients
Strong analytical skills to identify key business opportunities and challenges
Deep industry knowledge to provide valuable insights and recommendations
Effective communication and collaboration skills
Short term goal is to gain experience in strategy consulting. Long term goal is to become a partner in a consulting firm.
Short term goal: Gain experience in strategy consulting through hands-on projects and client interactions.
Long term goal: Work towards becoming a partner in a consulting firm by consistently delivering high-quality results and building a strong network in the industry.
I applied via Campus Placement and was interviewed before Oct 2022. There were 4 interview rounds.
Cognitive Aptitude test related to puzzles and calculations.
I applied via LinkedIn and was interviewed before Sep 2023. There were 2 interview rounds.
1 hour ranges wide from probability to real life scenarios
Sql query building various scenarios from different comapnaies and know and find a unique value
I applied via Recruitment Consulltant and was interviewed in Oct 2021. There was 1 interview round.
The supply chain process involves the flow of goods and services from the supplier to the customer.
The process starts with the procurement of raw materials or finished goods from suppliers
The materials are then transported to the manufacturing or production facility
The goods are then produced or assembled and packaged for distribution
The finished products are then transported to warehouses or distribution centers
The pr...
Forecasting and demand sensing have different drivers.
Forecasting is driven by historical data and trends.
Demand sensing is driven by real-time data and market changes.
Forecasting is used for long-term planning and production.
Demand sensing is used for short-term adjustments and inventory management.
Forecasting is more accurate for stable markets, while demand sensing is better for volatile markets.
Examples of forecast...
Automating forecasting process requires advanced analytics and machine learning techniques.
Use advanced analytics and machine learning techniques to automate forecasting process
Leverage big data and cloud computing to handle large amounts of data
Implement real-time data processing and predictive modeling
Use automated algorithms to identify patterns and trends in data
Integrate forecasting models with business intelligen...
Digital initiatives can enhance organizational resilience through increased agility, efficiency, and innovation.
Digital tools can enable remote work and collaboration, ensuring business continuity during disruptions.
Data analytics can provide real-time insights for informed decision-making and risk management.
Automation can streamline processes and reduce costs, freeing up resources for strategic investments.
Digital pl...
I was interviewed in Sep 2024.
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Interview experience
based on 2 reviews
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McKinsey & Company
BCG
Bain & Company
KPMG India