Senior Design Projects
| Design of a Statistical Processing System for Analyzing the Evolution of COVID-19 in Peru by Estimating the Reproducibility Index and Mortality Indicators. |  Download |
| Design of a Statistical Processing System for Analyzing the Impact of COVID-19 on the Consumer Price Index CPI in Lima City. | Download |
| Design of a Stochastic Processing System for the Analysis and Identification of Seismic Patterns in Peru Regions in the Period 2008-2018 Using a Semi-Markov Model | Download |
| Design of a Statistical Processing System for the Quantile Regression Analysis of the Distribution of Total Monthly Household Expenditures in Peru Regions. | Download |
| Design of a Statistical Processing System for the Prediction of Children Anemia Up to 5 Years Old Using a Logistics Regression Model. | Download |
Student Projects
| Design of a Statistical System for Predicting the Quantity and Characteristics of Non-Performing Loans Using the Method of Bootstrap with Crossed Validation, and Support Vector Machines | Download |
| Design and Construction of Predictive Models that Fit the Growth Curve for Weight of Marine Species of the VitaPro Company – ALICORP Group | Download |
| Design of a Prediction System for Evaluating the Success of Telemarketing Campaign Deposits for Customers of BANKUNI Company Using Random Forest and Naïve Bayes Techniques | Download |
| Design of a Fast Food Managing Application Using SQL Data Base | Download |
| Design of an Inventory Management System for a Small-Medium Size Enterprise | Download |
| Implementation of a VAR Bayesian Model for Predicting Commodities Price and GNP Growing Rate | Download |
| Comparison Between Neural Networks and Decision Trees Methods for Predicting the Criminal Behavior of Young People Using Information from the National Census 2016 | Download |
| Design of a Two-Stage Multilevel Regression Model with Truncation and Censoring of the Dependents Variables | Download |
| Design of an Statistical Systems for Classifying of Financial Fraud Using Neural Networks | Download |
| Identification of Main Factors and Variables Describing the Quantity and Distribution of Fatal Vehicular Accidents in Metropolitan City of Lima Using data Mining Techniques: Random Forest, Boosting, Decision Trees. | Download |
| Application of Asymmetric Logarithmic Regression Method, Logit Kernel Regression, and Support Vector Machine for Predicting the Satisfaction Level of Clients of Telecommunication Companies | Download |
| Comparison of Cross Selling Models with Symmetrical and Asymmetrical Links with Classical and Bayesian Estimation for Predicting Client Propensity for Acquiring Credit Cards of Financial Bank Corp. | Download |
| Comparison of Classic Bootstrap Regression and Bayesian Bootstrap Regression Methods | Download |
| Prediction of Cellphone Losses in Sell-Points of Telecom Companies Using Logistic Regression Model and Random Forest Technique | Download |
| Capstone Projects | Download |