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I applied via Approached by Company and was interviewed in Mar 2023. There were 3 interview rounds.
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posted on 10 Dec 2024
I applied via Company Website and was interviewed in Nov 2024. There was 1 interview round.
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
Background in statistics and programming
Experience in data analysis and visualization tools like Python, R, and Tableau
Strong problem-solving and critical thinking skills
Ability to communicate complex data findings to non-technical stakeholders
My career goal is to become a senior data analyst in a reputable company, where I can utilize my skills to drive data-driven decision-making and contribute to the organization's success.
Advance to a senior data analyst role
Contribute to data-driven decision-making
Work for a reputable company
Continuous learning and skill development
Strength: Strong analytical skills, Weakness: Overthinking
Strength: Ability to analyze complex data sets and derive meaningful insights
Strength: Proficiency in data visualization tools like Tableau and Power BI
Weakness: Tendency to overthink and spend too much time on minor details
Weakness: Struggle with delegating tasks and trusting others to complete them
I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Dec 2024. There were 2 interview rounds.
I applied via Recruitment Consulltant and was interviewed in Aug 2024. There were 2 interview rounds.
I handled data imbalance by using techniques like oversampling, undersampling, SMOTE, or using ensemble methods.
Used oversampling to increase minority class instances
Used undersampling to decrease majority class instances
Applied SMOTE (Synthetic Minority Over-sampling Technique) to generate synthetic samples for minority class
Utilized ensemble methods like Random Forest or Gradient Boosting to handle imbalance
Advanced sql and basics of data science
I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.
Basic coding questions
Developed a predictive model for customer churn using logistic regression
Chose logistic regression for its interpretability and ability to handle binary outcomes
Evaluated model performance using accuracy, precision, recall, and F1 score
Analyzed customer data including demographics, purchase history, and customer service interactions
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills
Python, sql were asked, 1st round was resume based round
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
I tackle pressurized situations by staying calm, prioritizing tasks, seeking help when needed, and maintaining a positive attitude.
Stay calm and composed under pressure
Prioritize tasks based on urgency and importance
Seek help or guidance from colleagues or supervisors
Maintain a positive attitude and focus on finding solutions
I applied via Referral and was interviewed in Jan 2023. There were 2 interview rounds.
I was interviewed before Nov 2023.
Based on different scenarios they interviewed me
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