I am expert in making prediction models using R/Python programming. Experienced in educational projects such as analyzing student grades, creating application models that make it easy to determine variables that affect student grades. Make predictions in the business world using analysis using machine learning models. Make a data fraud analysis using a neural network, predicting the exact results with minimal errors. In the banking world, in addition to analyzing fraud, it also determines client credibility with a variety of variables, including variables in the social media world that will influence the status behavior of the client. Create optimization from the multi linear programming, determine the model to create the minimal cost. Statistical Analysis Skills Include: ☑️Exploratory Data Analysis ☑️Descriptive Statistics ☑️Data Visualization ☑️Linear Regression Models ☑️Generalized Linear Models (i.e., logistic, poison, ordinal. etc.) ☑️Moderation and Mediation Analysis ☑️t-test ☑️ANOVA Models (ANOVA/ANCOVA/MANOVA) ☑️Linear Discriminant Analysis ☑️Hierarchical/Multilevel Regression Models ☑️Factor Analysis (Exploratory and Confirmatory) ☑️Path Analysis and Structural Equation Modeling ☑️Non-Parametric Analysis ☑️Power Analysis, Robust Statistics ☑️Supervised Machine Learning (Linear Regression, Logistic Regression, Decision Trees,etc,) ☑️Unsupervised Machine Learning Algorithms (Kmeans, K nearest Neighbors, Apiori etc.) Statistical Programs/Software Skills: ☑️R/RStudio, RShiny,RMardown ☑️Python/Tensorflow-Keras/Pythorch,CV2 ☑️Excel ☑️PowerBI ☑️SPSS