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Colgate Palmolive
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Handling large volumes of data, ensuring data quality, and interpreting complex data.
Dealing with unstructured data from various sources
Ensuring data quality and accuracy through data cleaning and preprocessing
Interpreting complex data and deriving meaningful insights
Implementing machine learning algorithms to analyze data
Communicating findings to non-technical stakeholders
Top trending discussions
It has behavioural and ability to focus rounds where behavioural have several questions repeated in different forms and answers in different categories. Choose extreme ones, it shows your confidence and clarify
Calculate impact of a project by analyzing key metrics and outcomes.
Identify key metrics to measure impact such as revenue, cost savings, customer satisfaction, etc.
Quantify the baseline performance before the project and compare it to the performance after the project.
Use statistical analysis to determine the significance of the project's impact.
Consider both short-term and long-term effects of the project.
Seek feedba...
I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.
Some standard test and aptitude test everyone has to take before being shortlisted for itnerview
GitHub commands are used to interact with repositories on GitHub platform.
git clone
git add
git commit -m 'commit message': Commit changes to the repository
git push origin
git pull origin
I applied via Referral and was interviewed before Jun 2023. There were 4 interview rounds.
Data Science MCQ questions
Building a baseline ML model with EDA etc.
Outliers can be analyzed using statistical methods like Z-score, IQR, or visualization techniques like box plots.
Calculate Z-score and identify data points with Z-score greater than a certain threshold as outliers.
Use Interquartile Range (IQR) to detect outliers by identifying data points outside 1.5 * IQR range.
Visualize data using box plots to identify any data points that fall outside the whiskers.
Consider domain kn...
I applied via Naukri.com and was interviewed in Nov 2021. There were 4 interview rounds.
Yes, I am always open to learning new technologies.
I actively seek out opportunities to learn new technologies.
I have taken online courses to learn new programming languages.
I am comfortable with using online resources to learn new technologies.
I am excited to learn about any new technologies that may be relevant to my work.
Financial statements are reports that show the financial performance of a company.
Financial statements include the balance sheet, income statement, and cash flow statement.
The balance sheet shows the company's assets, liabilities, and equity.
The income statement shows the company's revenue, expenses, and net income.
The cash flow statement shows the company's cash inflows and outflows.
Financial statements are important ...
I applied via LinkedIn and was interviewed in Feb 2022. There was 1 interview round.
Developed a script for forecasting using KNN and data science models.
Developed a script using Python to forecast sales for a retail company using KNN algorithm.
Built a data science model to predict customer churn for a telecom company using logistic regression.
Used time series analysis to forecast stock prices for a financial services company.
Developed a script to predict the likelihood of a customer defaulting on a lo...
I applied via Referral and was interviewed before Aug 2022. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Aug 2024. There were 3 interview rounds.
Technical mcq - string array ..html css
Code on Arrays and strings
I applied via Naukri.com and was interviewed in May 2023. There were 4 interview rounds.
based on 1 interview
Interview experience
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