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I applied via Walk-in and was interviewed before Apr 2020. There was 1 interview round.
I applied via Referral and was interviewed in Nov 2023. There were 4 interview rounds.
Currently working on analyzing customer data for a retail company.
Analyzing customer purchase history
Identifying trends and patterns in customer behavior
Segmenting customers based on demographics and purchase preferences
I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.
3 SQL questions were given
I applied via Company Website and was interviewed in Sep 2021. There were 2 interview rounds.
I applied via Campus Placement and was interviewed before Nov 2022. There were 4 interview rounds.
Basic SQL theory questions were asked
Sql joins and PL/ SQL
I applied via Company Website and was interviewed in Apr 2022. There were 2 interview rounds.
Improve your skills
I applied via Campus Placement and was interviewed in Nov 2022. There were 2 interview rounds.
I am a data analyst with a strong background in statistics and programming.
Experienced in analyzing large datasets and extracting meaningful insights
Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau
Skilled in SQL for data querying and manipulation
Strong problem-solving and critical thinking abilities
Effective communication skills for presenting findings to stakeholders
Developed a predictive model to forecast customer churn for a telecommunications company.
Used machine learning algorithms to analyze customer data
Performed feature engineering to identify key predictors of churn
Built and trained a model using historical data
Evaluated model performance and provided actionable insights to reduce churn
I applied via LinkedIn and was interviewed before Oct 2022. There were 2 interview rounds.
based on 1 interview
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