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Wells Fargo Senior Analytics Consultant Interview Questions, Process, and Tips
Top Wells Fargo Senior Analytics Consultant Interview Questions and Answers
- Q1. Different types of Joins in SQL, difference between TRUNCATE and DELETE
- Q2. LOD expressions in Tableau
- Q3. Blending and joins in Tableau
Wells Fargo Senior Analytics Consultant Interview Experiences
4 interviews found
I applied via Company Website and was interviewed in Oct 2024. There were 2 interview rounds.
(4 Questions)
- Q1. Filters in Tableau
- Q2. Blending and joins in Tableau
- Q3. LOD expressions in Tableau
- Q4. Different types of Joins in SQL, difference between TRUNCATE and DELETE
(2 Questions)
- Q1. About my technical experience
- Q2. What will you do if you get the offer from multiple companies
Interview Preparation Tips
After the second round, I did not receive any feedback for several days, so I contacted HR to inquire about the status. They assured me they would provide an update, but I did not hear back. I reached out again and was told that I was not selected because I was "not technically strong." This reason seemed misleading, as the second round was not even technical in nature.
My impression is that my current salary expectations may have exceeded their budget for the role. Rather than acknowledging this, it seems they opted to cite a technical deficiency as the reason for my rejection, which I believe was not accurate.
I applied via Job Portal and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. What are your primary skills
- Ans.
My primary skills include data analysis, statistical modeling, programming, and problem-solving.
Data analysis
Statistical modeling
Programming
Problem-solving
- Q2. What is your core strength
- Ans.
My core strength lies in my ability to analyze complex data sets and derive actionable insights to drive business decisions.
Strong analytical skills
Ability to work with large data sets
Experience in data visualization tools like Tableau
Proven track record of using data to drive business strategy
PREM SINGH
I applied via Referral and was interviewed in Jul 2024. There was 1 interview round.
AML/KYC trigger and model related
I applied via Naukri.com and was interviewed before Jun 2021. There were 5 interview rounds.
(1 Question)
- Q1. Base and Advance concepts
(1 Question)
- Q1. Project related question and the problems faced and how you handled them
(1 Question)
- Q1. Situational Interview
Interview Preparation Tips
- SAS
- Case Studies
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Selected
I applied via Naukri.com and was interviewed before Sep 2023. There were 2 interview rounds.
Medium difficulty level. Good to go prepared with basics.
(2 Questions)
- Q1. Resume based questions like what and how did you do this
- Q2. Banking knowledge check like how bank works, different banking products etc
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
(4 Questions)
- Q1. Types of Chunking in data preparation in RAG
- Q2. How Embedding works in Vector Databases
- Q3. Explain ARIMA model
- Q4. How can we decide to choose Linear Regression for a business problem
(4 Questions)
- Q1. What is token and it's limit for Open Source LLMs
- Q2. Difference of a Regression and Time Series problem
- Q3. Advantage of LSTM over RNN
- Q4. Performance Metrics for Logistic Regression
Rohan Soni
(2 Questions)
- Q1. How do you define model Gini?
- Ans.
Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.
Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).
It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.
A Gini coefficient of 0.5 indicates a model that is no better than random guessing.
Commonly used in credit
- Q2. How to you train XG boost model
- Ans.
XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.
Specify parameters for XGBoost model such as learning rate, max depth, and number of trees
Split data into training and validation sets using train_test_split function
Fit the XGBoost model on training data using fit method
Tune hyperparameters using techniques like grid search
Skills evaluated in this interview
I was asked Python, sql, coding questions
Case study on how would you identify the total number of footfall on a airport
(5 Questions)
- Q1. SQL queries regarding your project
- Q2. Pratice joining concepts
- Q3. Regarding end to end intercation with your project manager
- Q4. ETL process and tableau concepts
- Q5. Dashboard related to Tableau
Interview Preparation Tips
- Don't make you down at the time of interview.
- Answer what's real
Data Analyst Intern Interview Questions & Answers
Cholamandalam Investment & Finance
Anonymous
posted on 3 Oct 2023
Selected
I applied via Referral and was interviewed in Apr 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Questions based on projects in the resume
- Q2. Machine learning questions
Interview Preparation Tips
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Wells Fargo Senior Analytics Consultant Interview Process
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