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I applied via Referral and was interviewed in Mar 2020. There were 5 interview rounds.
Implemented data-driven strategies to increase revenue by 15% in previous company.
Developed predictive models to optimize pricing strategies
Identified key customer segments for targeted marketing campaigns
Automated data collection and analysis processes for efficiency
Collaborated with cross-functional teams to implement data-driven decisions
I applied via Naukri.com and was interviewed in Nov 2020. There was 1 interview round.
Statistics is the study of collecting, analyzing, and interpreting data.
Descriptive statistics summarize and describe data
Inferential statistics make predictions and draw conclusions about a population based on a sample
Hypothesis testing is used to determine if there is a significant difference between groups
Regression analysis is used to model the relationship between variables
Probability theory is used to quantify un...
I applied via Recruitment Consultant and was interviewed in Oct 2020. There were 4 interview rounds.
I appeared for an interview in Oct 2016.
posted on 21 Nov 2021
I applied via Referral and was interviewed before Nov 2020. There was 1 interview round.
To route a payment from foreign country to domestic, one can use international wire transfer or online payment platforms.
International wire transfer can be done through banks or money transfer services
Online payment platforms like PayPal, TransferWise, or Payoneer can also be used
Exchange rates and fees should be considered before choosing a method
Compliance with regulations and documentation requirements is important
I applied via Referral and was interviewed before Jul 2021. There were 2 interview rounds.
Easy question, maximum question on average, ages, pie chart,flow chart of coding, English comprehension, situation based question.
I applied via Company Website and was interviewed before Jul 2020. There were 3 interview rounds.
I applied via Referral and was interviewed in Nov 2019. There were 5 interview rounds.
Implemented a machine learning model to predict customer churn using advanced algorithms
Developed a predictive model using logistic regression, random forest, and gradient boosting
Utilized feature engineering techniques to improve model performance
Integrated the model into the company's CRM system for real-time predictions
based on 1 interview
Interview experience
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