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I applied via Internshala and was interviewed in Sep 2022. There were 3 interview rounds.
Ozibook and Ozigen are software tools used in the field of UI/UX design.
Ozibook is a design tool that helps in creating interactive prototypes for user testing and feedback.
Ozigen is a design tool that focuses on generating design variations and exploring different design possibilities.
Both tools are commonly used by UI/UX designers to enhance the design process and improve user experience.
Ozibook allows designers to c...
I appeared for an interview in May 2025, where I was asked the following questions.
I approach challenges with creativity, leveraging diverse perspectives and innovative thinking to find unique solutions.
Encourage brainstorming sessions to generate diverse ideas, like using mind maps to visualize connections.
Utilize role-playing to understand different stakeholder perspectives, which can reveal unexpected insights.
Analyze case studies from unrelated industries to inspire innovative solutions, such as ...
I excel in analytical thinking and communication, but I sometimes struggle with time management under tight deadlines.
Strength: Strong analytical skills - I can dissect complex data sets to identify trends, as demonstrated in my previous project analyzing customer behavior.
Strength: Effective communicator - I can present findings clearly to stakeholders, ensuring everyone understands the implications of the data.
Weakne...
I am a detail-oriented Business Analyst with a passion for data-driven decision-making and a strong background in project management.
Over 5 years of experience in business analysis across various industries, including finance and healthcare.
Skilled in gathering requirements through stakeholder interviews and workshops, leading to successful project outcomes.
Proficient in data visualization tools like Tableau and Power ...
I applied via Internshala and was interviewed in Jun 2024. There were 2 interview rounds.
A long Google form has to be filled
Data preprocessing is the process of cleaning and transforming raw data into a usable format for analysis.
Data Cleaning: Removing duplicates and correcting errors (e.g., fixing typos in categorical data).
Handling Missing Values: Imputing missing data with mean, median, or mode, or removing incomplete records.
Data Transformation: Normalizing or scaling data to bring all features to a similar range (e.g., Min-Max scaling...
Fill google form. Lots of questions asked.
I applied via Internshala
Contains of technical questions
Data preprocessing is the process of cleaning, transforming, and organizing raw data to make it suitable for analysis.
Data preprocessing involves removing irrelevant or duplicate data.
It also includes handling missing values and outliers.
Data normalization and standardization are important preprocessing techniques.
Feature scaling and encoding categorical variables are part of preprocessing.
Data preprocessing improves d...
Supervised learning involves labeled data and predicting outcomes, while unsupervised learning involves finding patterns and relationships in unlabeled data.
Supervised learning uses labeled data to train a model and make predictions.
Examples of supervised learning include classification and regression.
Unsupervised learning finds patterns and relationships in unlabeled data.
Examples of unsupervised learning include clus...
My strength lies in my ability to adapt quickly to new situations and learn new skills efficiently.
Quick learner
Adaptable
Problem solver
Strong work ethic
I applied via Internshala and was interviewed in Jul 2023. There were 3 interview rounds.
I applied through internshala portal, there they have shortlisted me based on my skillset and provided a assignment.
I applied via Internshala and was interviewed in Aug 2023. There was 1 interview round.
Data preprocessing steps involve cleaning, transforming, and organizing raw data before analysis.
Handling missing values by imputation or deletion
Removing duplicates
Normalization or standardization of data
Encoding categorical variables
Feature scaling
Data transformation (e.g. log transformation)
Feature engineering (creating new features)
Handling outliers
Top trending discussions
The duration of Ozibook interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 17 interview experiences
Difficulty level
Duration
Data Analyst
4
salaries
| ₹1 L/yr - ₹3 L/yr |
Data Analyst Intern
4
salaries
| ₹1 L/yr - ₹2 L/yr |
Business Analyst
3
salaries
| ₹3 L/yr - ₹3.2 L/yr |
Project Manager
3
salaries
| ₹6 L/yr - ₹6 L/yr |
Social Media Manager
3
salaries
| ₹6 L/yr - ₹7 L/yr |
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