UHG (United Health Group) – Optum Interview Questions for a full-time job as a Data Analyst, by a student from IIT Kanpur.
Profile: Associate Data Analyst
Process: They shortlisted the candidates based on resumes and then 2 rounds of interviews were conducted.
Interview Questions
Round 1
- Walk me through your resume.
- Explain XGBoost, Random Forest. Also, explain the difference between them.
- Explain the algorithm of SVM, and then asked some questions regarding the kernel trick.
- Which Dimensionality reduction techniques do you know? Further, explain how PCA works and what technique does it use to reduce dimensionality? How to apply PCA when variables are one-hot encoded?
- What is regularisation? When to use Ridge Regression and when to use Lasso? What’s the difference between these two?
- How does stationarity affect the Time-Series data?
- What is class imbalance? Also, explain how to handle them?
- What text-vectorization techniques do you know? Explain them.
- What is cross-validation and why is it used?
Round 2
- How would you design the customer recommendation algorithm in Flipkart?
- Estimate the number of cab riders in Kolkata on a daily basis.
- Suppose a circle is inscribed inside a square. What are the parameters that come to your mind?
- Explain eigenvalues, eigenvectors.
- Where do you see yourself in 5 years?
- A few other questions related to co-curricular activities.
Suggestions:
Prepare for topics mentioned in your resume very well. They ask resume-based questions mainly.
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