-Collaborate closely with IT teams to facilitate effective data collection processes. -Perform data analysis and cleansing to ensure data quality. -Execute end-to-end modeling processes, including data transformation, feature selection, model building, and analysis of model results. Prepare documentation and communicate project outcomes to clients. -Optimize model code for improved efficiency and performance. -Develop custom pipeline classes for model deployment using… Show more -Collaborate closely with IT teams to facilitate effective data collection processes. -Perform data analysis and cleansing to ensure data quality. -Execute end-to-end modeling processes, including data transformation, feature selection, model building, and analysis of model results. Prepare documentation and communicate project outcomes to clients. -Optimize model code for improved efficiency and performance. -Develop custom pipeline classes for model deployment using scikit-learn (BaseEstimator, TransformerMixin, PredictorMixin, etc.). -Implement model automation workflows using MLflow to streamline model development and deployment.Actively involved in projects: -Retail Scorecard Model -Retail Income Model-MLFlow Automation Process Project Show less

-Collaborate closely with IT teams to facilitate effective data collection processes. -Perform data analysis and cleansing to ensure data quality. -Execute end-to-end modeling processes, including data transformation, feature selection, model building, and analysis of model results. Prepare documentation and communicate project outcomes to clients. -Optimize model code for improved efficiency and performance.Actively involved in projects:-Commercial Rating… Show more -Collaborate closely with IT teams to facilitate effective data collection processes. -Perform data analysis and cleansing to ensure data quality. -Execute end-to-end modeling processes, including data transformation, feature selection, model building, and analysis of model results. Prepare documentation and communicate project outcomes to clients. -Optimize model code for improved efficiency and performance.Actively involved in projects:-Commercial Rating Models-Commercial Turnover (Revenue) & Limit Prediction Models -BNPL PD Models-Segmentation Model-Churn Models-Propensity Models Show less

Alternative Data Project (Developer):-Worked with consultants to collect alternative data sources (location, TELCO, ÇKS, etc.) for underbanked and unbanked populations.-Conducted ÇKS (Farmer Register System) queries and used Tarla.io API queries to gather data, such as drought, temperature, and so on, for farmers, and created new variables using the data.-Implemented recursive feature selection method and XGBoost models to objectively evaluate risk scores for micro-entrepreneurs and… Show more Alternative Data Project (Developer):-Worked with consultants to collect alternative data sources (location, TELCO, ÇKS, etc.) for underbanked and unbanked populations.-Conducted ÇKS (Farmer Register System) queries and used Tarla.io API queries to gather data, such as drought, temperature, and so on, for farmers, and created new variables using the data.-Implemented recursive feature selection method and XGBoost models to objectively evaluate risk scores for micro-entrepreneurs and farmers.-Implemented SHAP and Lime analysis to interpret the output of the models.-Prepared presentation and documentation.Skills: Python, SQL, Excel, PP, WordRisk Propensity Model (Developer & Lead):-Measured risk appetite for SMEs and businesses.-Implemented descriptive analysis, univariate analysis, boruta test, and so on, to select the best features.-Implemented XGBoost and LightGBM models for two segments.-Implemented SHAP and Lime analysis to interpret the output of the models.-Prepared presentation and documentation.Skills: Python, SQL, Excel, PPSMEs Income & Limit Models (Developer):-Determined the limits of SMEs and crafts.-Applied fullness ratio analysis, multicollinearity analysis, and partial linear regression for the segments.-Prepared presentation and documentation of the project.Skills: SAS, SQL, Excel, PPEarly Warning System (Developer):-Validated the current models.-Collected available validation data via SQL.-Calculated Gini values, CSI values, bad target counts, and rates to determine the performance of the models.-Documented the results of the validations by preparing a presentation and documentation.-Supported in preparing base data for the redevelopment of the models.-Conducted ÇKS queries to collect available data for farmers.Skills: SAS, SQL, Excel, PP, Word Show less

Enterprise Project Delivery and IT & Operations Governance Department