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Summary
Collaborated on data analysis and model development to derive actionable insights and predict customer behavior.
Highlights
Conducted comprehensive exploratory data analysis (EDA) on diverse customer datasets, identifying key trends and presenting actionable insights that informed strategic decisions.
Collaborated effectively within a 5-member team to clean and preprocess large, unstructured datasets using advanced Python libraries (Pandas, NumPy), ensuring data integrity and readiness for analysis.
Contributed to the early-stage development of a machine learning model for customer churn prediction, directly supporting efforts to enhance customer retention strategies.