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Cleantech Solar Data Analyst Intern Interview Questions, Process, and Tips
Cleantech Solar Data Analyst Intern Interview Experiences
1 interview found
Anonymous
I was interviewed before Sep 2020.
(5 Questions)
Round duration - 60 Minutes
Round difficulty - Medium
It was a mix round. Starting with problem-solving, then data structures, then DBMS, and finally data science
2 Interviewers
Early morning
- Q1.
Water Jug Problem Statement
You have two water jugs with capacities
XandYliters respectively, both initially empty. You also have an infinite water supply. The goal is to determine if it is possible to... - Q2. Balls picking probability problem
- Q3.
Insertion Sort in a Linked List
Given a singly linked list with 'N' nodes containing integer values, your task is to sort the list using insertion sort and output the sorted list.
Insertion Sort is an al...
- Q4. Can you explain the different types of keys in a database and their properties?
- Q5. What is the difference between loc and iloc in data science, and can you explain what dashboards are?
Round duration - 15 Minutes
Round difficulty - Easy
Early morning
Relaxed environment
Very kind and gentle
Interview Preparation Tips
Tip 1 : Excellent communication skills required
Tip 2 : Focus on data science and data analysis
Tip 1 : Data Science knowledge and projects
Tip 2 : True and crisp information
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
(2 Questions)
- Q1. What is overfitting in machine learning?
- Ans.
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
- Q2. Overfitting accurs when a model learns the details.......etc
- Ans.
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
Interview Preparation Tips
(1 Question)
- Q1. What is a Transformer
- Ans.
A Transformer is a type of deep learning model that uses attention mechanisms to improve the efficiency of sequence-to-sequence tasks.
Utilizes self-attention mechanism to weigh the importance of different input elements
Commonly used in natural language processing tasks such as machine translation and text generation
Examples include BERT, GPT, and Transformer-XL
Selected
I applied via WorkDay and was interviewed before Mar 2023. There were 3 interview rounds.
Code Signal MCQ around Data Analysis - Excel, SQL, Tableau, Joins Questions
Data Challenge: 10 days Take Home Case Study on Airlines Dataset
(2 Questions)
- Q1. Round 1: Data Challenge Presentation Round 2: Behavioral 3 Questions, and 3 Sub Questions in Each. (STAR Format) Round 3: Case Study Round 4: Case Study
- Q2. Same as above : 4 day power day
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