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I applied via Naukri.com and was interviewed in Jun 2019. There was 1 interview round.
My CGPA may be low, but it does not reflect my skills and abilities as a data analyst.
My focus has always been on gaining practical knowledge and experience rather than just academic grades.
I have taken various online courses and completed several projects to enhance my skills.
I have also received positive feedback from my previous employers and colleagues on my work performance.
My low CGPA does not define my potential
KNN is a non-parametric algorithm used for classification and regression tasks.
KNN stands for K-Nearest Neighbors.
It is based on the principle of finding the k closest data points in the feature space.
The class of the new data point is determined by the majority class of its k nearest neighbors.
It can be used for both classification and regression tasks.
KNN is sensitive to the choice of k and the distance metric used.
No, confusion matrix is not used in Linear Regression.
Confusion matrix is used to evaluate classification models.
Linear Regression is a regression model used for continuous variables.
Evaluation metrics for Linear Regression include R-squared, Mean Squared Error, etc.
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Sql python bigdata hadoop hive spark
1 hour simple coding python sql
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.
Any general knowledge topic
Short term goal is to enhance data analysis skills, long term goal is to become a data science expert.
Short term goal: Improve proficiency in SQL, Python, and data visualization tools
Long term goal: Obtain advanced certifications in machine learning and AI
Short term goal: Complete online courses on statistical analysis and data cleaning
Long term goal: Lead data science projects and mentor junior analysts
posted on 12 Jan 2024
Key features of Python programming include simplicity, readability, versatility, and extensive libraries.
Python is known for its simple and readable syntax, making it easy to learn and understand.
It is a versatile language that can be used for various purposes such as web development, data analysis, and artificial intelligence.
Python has a vast collection of libraries and frameworks that provide ready-to-use tools for ...
Pandas is a powerful data manipulation library in Python, used for data analysis and data wrangling tasks.
Pandas is a Python library that provides data structures and functions for efficient data manipulation.
It is widely used for tasks like data cleaning, transformation, and analysis.
Pandas offers powerful tools for handling structured data, such as CSV or Excel files.
It provides functionalities like filtering, sortin...
Seaborn is a high-level interface for statistical data visualization, while Matplotlib is a low-level library for creating basic plots.
Seaborn provides a more aesthetically pleasing and informative visual representation of data compared to Matplotlib.
Seaborn has built-in themes and color palettes that make it easier to create visually appealing plots.
Matplotlib offers more flexibility and control over plot customizatio...
I applied via Naukri.com and was interviewed in Sep 2023. There were 3 interview rounds.
Hacker Rank test Write a query to fetch the EmpFname from the EmployeeInfo table in upper case and use the ALIAS name as EmpName
I applied via LinkedIn and was interviewed in Feb 2023. There was 1 interview round.
No, I don't have direct Data Science experience.
However, I have worked with data extensively in my previous roles as a Data Analyst.
I have experience in data cleaning, data visualization, and statistical analysis.
I am also familiar with programming languages such as Python and R, which are commonly used in Data Science.
I am willing to learn and expand my skills in Data Science if given the opportunity.
posted on 2 Apr 2023
I applied via Instahyre and was interviewed in Mar 2023. There were 3 interview rounds.
Basic coding 55 min java hacker rank
I am a data analyst with a goal to leverage data-driven insights to drive business growth and improve decision-making.
Experienced data analyst with a strong background in statistical analysis and data visualization
Proficient in SQL, Python, and Tableau for data manipulation and analysis
Goal is to use data to identify trends, patterns, and opportunities for optimization
Passionate about translating complex data into acti...
I am passionate about data analysis and believe that joining this company will provide me with the opportunity to contribute my skills and learn from experienced professionals.
I have a strong background in data analysis and have successfully completed several projects in this field.
I am excited about the company's focus on data-driven decision making and believe that my skills can make a significant impact.
I am impress...
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
I am a data analyst with a strong background in statistics and programming, passionate about deriving insights from data.
I have a Bachelor's degree in Statistics and experience in data visualization tools like Tableau
I am proficient in programming languages such as Python and SQL
I have worked on projects involving predictive modeling and data mining techniques
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