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Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Easy topics arrays, sequence sum.
Simple mediam DSA style questions around ML
I applied via Campus Placement and was interviewed in Oct 2022. There were 4 interview rounds.
SQL and quant, logical questions were asked.
I applied via Walk-in and was interviewed in Dec 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.
Convenience power, Patience
I applied via Referral and was interviewed in Mar 2023. There were 2 interview rounds.
I have 3 years of experience as a data analyst in the finance industry.
Worked with large datasets to extract meaningful insights
Performed data cleaning, transformation, and visualization
Created and maintained dashboards and reports for stakeholders
Conducted statistical analysis and built predictive models
Collaborated with cross-functional teams to identify business opportunities
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
Proficient in statistical analysis techniques
Skilled in data visualization using tools like Tableau
Strong programming skills in Python and SQL
Experience with data cleaning and preprocessing
Ability to interpret and communicate insights from data
Familiarity with machin...
based on 1 interview
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