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I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.
I applied via Walk-in and was interviewed in Mar 2023. There were 4 interview rounds.
Java, html, thread, css, spring,
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posted on 2 Feb 2025
I was interviewed in Jan 2025.
A case study in an Optum interview typically revolves around solving a real-world problem related to healthcare, data analysis, technology, or business strategy, given Optum’s focus on healthcare services and technology solutions. Here are some tips on how to approach a case study interview at Optum and a sample example:
Steps to Approach an Optum Case Study:
1. Understand the Problem Statement:
Take time to read the case study carefully and make sure you understand the key issue or question.
Identify the stakeholders involved (patients, healthcare providers, insurance companies, etc.) and the objective (cost reduction, improving patient outcomes, increasing efficiency, etc.).
2. Clarify Assumptions:
If there are any ambiguous elements, ask questions to clarify the problem.
You can also state your assumptions if you're making any, but be clear that these are assumptions.
3. Break Down the Problem:
Identify key data points you would need to analyze.
Break the problem into smaller pieces that can be addressed step-by-step.
4. Analyze:
Use frameworks like SWOT analysis, PESTLE analysis, or Porter’s Five Forces if applicable to the case.
In case of a data-related problem, try to identify key metrics (such as patient satisfaction, cost, quality of care, etc.) and how they can be improved or measured.
For technology-related cases, consider aspects like scalability, security, user experience, and integration with existing systems.
5. Propose a Solution:
Present your findings logically and suggest a solution based on your analysis.
Make sure to consider both short-term and long-term impacts on patient
Computer typing should be 40 wpm. And optional question answer multiple choice questions
I applied via Approached by Company and was interviewed in Dec 2024. There were 3 interview rounds.
posted on 30 Jan 2025
I was interviewed in Dec 2024.
Basic quant and reasoning questions
Selenium MCQ
Java programs with MCQ
I applied via Walk-in and was interviewed in Dec 2024. There were 2 interview rounds.
Process planning refers to the methodical approach of determining the best possible way to manufacture a product or deliver a service by considering various aspects such as resources, timelines, and methodologies involved in production or execution.
Implemented a new chemical process to increase efficiency and reduce waste.
Researched and analyzed current process to identify areas for improvement
Designed and tested new process using simulation software
Collaborated with production team to implement changes and monitor results
Achieved 20% increase in production output and 15% reduction in waste
Continuously monitored and optimized process for further improvements
I utilize a combination of project management tools and communication strategies to effectively manage my team and projects.
I prioritize tasks based on deadlines and importance
I regularly communicate with team members to ensure everyone is on the same page
I use project management software such as Trello or Asana to track progress and assign tasks
I adapt my management style to fit the needs and preferences of individual
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.
I was interviewed in Aug 2024.
I applied via Campus Placement
Difference between soft skills and hard skills
Polymorphism allows objects of different classes to be treated as objects of a common superclass. Generators produce items one at a time. Decorators add functionality to existing functions or methods.
Polymorphism: Enables objects of different classes to be treated as objects of a common superclass. Example: Animal superclass with Dog and Cat subclasses.
Generator: Produces items one at a time, allowing for efficient mem...
Embeddings are a way to represent words or phrases as vectors in a high-dimensional space, capturing semantic relationships.
Embeddings are important for tasks like natural language processing, where words need to be represented in a meaningful way.
They can be created using techniques like Word2Vec, GloVe, or using neural networks like Word Embeddings.
Embeddings help in capturing semantic relationships between words, al...
Encoder-decoder is a neural network architecture used for tasks like machine translation.
Encoder processes input data and generates a fixed-length representation
Decoder uses the representation to generate output sequence
Example: Seq2Seq model for translating English to French
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