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Clustering techniques are used to group similar data points together based on certain criteria.
Clustering is an unsupervised machine learning technique
Common clustering algorithms include K-means, Hierarchical clustering, and DBSCAN
Clustering helps in identifying patterns and relationships in data
Example: Grouping customers based on their purchasing behavior
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
Duration - 10-15 mins
Interviewer asked questions about my profile and asked machine learning
I applied via LinkedIn and was interviewed before Oct 2023. There was 1 interview round.
I appeared for an interview before Feb 2024.
Samatrix.io interview questions for popular designations
I appeared for an interview before Feb 2024.
Code signal , SQL python questions
Take home coding assignment - 10 days analysis and recommendations
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Allows users to summarize and analyze large datasets
Can easily reorganize data by dragging and dropping fields
Provides options to calculate sums, averages, counts, etc. for data
Helps in creating interactive reports and charts
Useful for identifying trends and patterns in data
Data Coding, 1hr, series of questions in excel
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
I have a strong background in data analysis, with proven experience in handling large datasets and generating valuable insights.
Extensive experience in data analysis and interpretation
Proficient in statistical analysis and data visualization tools
Strong problem-solving skills and attention to detail
Ability to communicate complex findings to non-technical stakeholders
I am looking for a competitive salary that reflects my skills and experience in the data analysis field.
Research industry standards for data analyst salaries in the specific location
Consider the level of experience and skills you bring to the role
Be prepared to negotiate based on the overall compensation package offered
My strengths include strong analytical skills, attention to detail, and the ability to communicate complex data effectively.
Strong analytical skills
Attention to detail
Effective communication of complex data
I am a data analyst with a strong background in statistics and data visualization.
I have a Bachelor's degree in Statistics from XYZ University.
I have experience working with SQL, Python, and Tableau for data analysis.
I have successfully completed projects involving predictive modeling and data mining.
I am detail-oriented and have strong problem-solving skills.
My hobbies include hiking, reading, and playing the guitar.
Hiking: I enjoy exploring nature trails and challenging myself physically.
Reading: I love diving into different genres of books, from fiction to non-fiction.
Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.
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Data Analyst
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Senior Data Analyst
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