Automating manual processes and deriving insights from data through statistical analysis and visualization.Developing VBA macros to streamline payment processes and automate dashboard reporting.Using statistical packages to analyze and visualize payment data, identifying trends, volumes, and customer behavior.Utilizing Power Query to automate dashboard creation and leveraging complex Excel functions for data manipulation and analysis.Leveraging technology to drive efficiency and inform decision-making.Deriving insights from data through statistical analysis and visualization

•Developed customer churn prediction models using Python, employing binary classification algorithms and ANN. (Methodology - Data preprocessing, EDA, feature selection, feature scaling, feature engineering, model building and evaluation, hyperparameter tuning, model deployment )•Implemented end-to-end model development process, including data preprocessing, EDA, feature selection, scaling, engineering, and hyperparameter tuning.•Utilized SHAP algorithm to interpret model predictions and identify churn reasons for each customer.•Developed Python dashboard to visualize and summarize model outputs, facilitating easy identification of churn reasons.•Led project to match two datasets using text analytics techniques, employing fuzzy-wuzzy library in Python.•Executed SQL tasks in Snowflake for data retrieval and manipulation.