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Analyzed the data of Visa applicants, built a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommended a suitable profile for the applicants for whom the visa should be certified or denied.

JesusTorres98/Easy-Visa

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Easy-Visa

Analyzed the data of VISA applicants to build a predictive model to facilitate the process of VISA approvals.

  • Explored the dataset and extracted insights using Exploratory Data Analysis (EDA).
  • Developed a predictive model using ensemble techniques to find the best performing model.
  • Recommended a suitable profile for the applicants for whom the VISA should be certified and denied based on factors the significantly influence the VISA status.

Key Skills: EDA, Data Preprocessing, Customer Profiling, Bagging Classifiers (Bagging and Random Forest), Boosting Classifier (AdaBoost,Gradient Boosting,XGBoost), Stacking Classifier, Hyperparameter Tuning using GridSearchCV, Business insights

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Analyzed the data of Visa applicants, built a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommended a suitable profile for the applicants for whom the visa should be certified or denied.

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