i
Gartner
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I perform various types of analysis including data cleaning, exploratory data analysis, and predictive modeling.
Data cleaning to ensure accuracy and completeness of data
Exploratory data analysis to identify patterns and trends
Predictive modeling to make predictions and inform decision-making
Statistical analysis to test hypotheses and draw conclusions
Visualization of data to communicate insights to stakeholders
I applied via Naukri.com and was interviewed in Dec 2024. There were 4 interview rounds.
Set of questions on english , aptitude , all are at easy level
Sql basics and some query questions
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.
Spark optimization techniques involve partitioning, caching, and tuning resources for efficient data processing.
Partitioning data to distribute workload evenly
Caching frequently accessed data to avoid recomputation
Tuning resources like memory allocation and parallelism
Using broadcast variables for small lookup tables
Developed a data pipeline to ingest, process, and analyze real-time streaming data from IoT devices.
Designed and implemented data ingestion process using Apache Kafka
Utilized Apache Spark for real-time data processing and analysis
Developed data models and algorithms to extract insights from the data
Worked with stakeholders to understand requirements and deliver actionable insights
Some challenges faced include data quality issues, scalability issues, and keeping up with evolving technologies.
Data quality issues such as missing values, inconsistencies, and errors in data sources.
Scalability issues when dealing with large volumes of data and ensuring efficient processing.
Keeping up with evolving technologies and tools in the field of data engineering.
Collaborating with cross-functional teams and s...
I applied via Company Website and was interviewed in Sep 2024. There were 2 interview rounds.
Spark and SQL question can expect
Focusing on the past project
I applied via Indeed and was interviewed in Jan 2024. There were 2 interview rounds.
Joins are used to combine rows from two or more tables based on a related column between them.
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
INNER JOIN returns rows when there is at least one match in both tables
LEFT JOIN returns all rows from the left table and the matched rows from the right table
RIGHT JOIN returns all rows from the right table and the matched rows from the left table
FULL JOIN...
To add a date table in Power BI, you can create a new table with a list of dates and relationships with other tables.
Create a new table in Power BI with a list of dates
Add columns for day, month, year, etc. for additional analysis
Establish relationships between the date table and other tables in the data model
Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.
Stemming is a process of reducing words to their base form by removing suffixes.
Lemmatization is a process of reducing words to their base form by considering the context and part of speech.
Stemming is faster but may not always produce a valid word, while lemmatization is slower but produces valid wo...
Multicollinearity can be measured using correlation matrix, variance inflation factor (VIF), or eigenvalues.
Calculate the correlation matrix to identify highly correlated variables.
Use the variance inflation factor (VIF) to quantify the extent of multicollinearity.
Check for high eigenvalues in the correlation matrix, indicating multicollinearity.
Consider using dimensionality reduction techniques like principal componen
Machine Learning, Metrics
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
Business problems were asked and analyzed the approach to solve the problem. Reading case studies would help you here
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