Statistical package in Python based on Pandas
Open-source statistical package in Python based on Pandas
Implementation of various feature selection methods using TensorFlow library.
Comparison of A/B Test and Conversion of Bidding Methods
Built ETL pipelines with Python, SQL, and dbt to clean and load churn data, cutting manual reporting by 40%. Standardized datasets using dbt and SQL for automated reporting and analytics. Performed statistical EDA using chi-square and t-tests to identify key churn drivers and developed a logistic regression model predicting churn with 80% accuracy
T-test on the effect of recession on housing prices in university towns
Difference test with Gene expression by permutation method( by T-test and median test)
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