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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.
I have worked on projects involving data analysis, visualization, and predictive modeling in various industries.
Developed predictive models to forecast sales trends in retail industry
Performed sentiment analysis on customer reviews for a hospitality company
Created interactive dashboards for tracking key performance indicators in a manufacturing plant
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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I applied via Naukri.com and was interviewed in Jun 2020. There were 3 interview rounds.
I appeared for an interview before Nov 2016.
I applied via Naukri.com and was interviewed before Sep 2021. There were 2 interview rounds.
Question was moderate.based on logical reasoning and math.
Coding test question based on sql and python.
I applied via Campus Placement and was interviewed before Sep 2021. There were 4 interview rounds.
The Aptitude round for TCS. NQT is a basic apti round with not much tough question. You can easily get samples from google. And practice on it.
There are 2 coding questions with some MCQ, In general if you can solve one of them you can easily move towards the next step.
I personally passed one coding questions and for another some test cases.
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 Campus Placement and was interviewed in May 2023. There were 2 interview rounds.
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
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