Ayşe B.

Conducted fraud detection analysis and implemented business rules to identify suspicious transactions;

Applied regression, clustering, decision tree, and neural network algorithms for predictive modeling;

Performed social media analytics and text mining to detect anomalies and patterns in unstructured data;

Utilized SAS Enterprise Guide, SAS Enterprise Miner, and SAS SNA for data modeling and network analysis;

Worked with Base SAS, Python, and R for data manipulation and analytical model development;

Performed fraud detection and implementation of business rules;

Applied regression, cluster analysis, decision tree, and neural network algorithms;

Conducted social media analytics and text mining;

Worked with SAS Enterprise Guide, SAS Enterprise Miner, SAS SNA, Base SAS, Python, and R.

Performed data preparation, cleansing, and analysis to support business intelligence and forecasting initiatives;

Developed short-term and long-term demand forecasting models using statistical and machine learning techniques;

Conducted descriptive analysis, time series modeling, cluster analysis, and decision tree analysis to uncover business insights;

Applied neural network algorithms to improve prediction accuracy;

Scheduled automated reporting and analytics jobs;

Utilized SAS Enterprise Guide, SAS Enterprise Miner, and SAS Forecast Studio, along with Base SAS and Python for model development and reporting;

Performed data preparation, data cleansing, and data analysis;

Developed short-term and long-term demand forecasting models;

Applied descriptive analysis, time series analysis, cluster analysis, decision tree analysis, and neural network applications;

Managed scheduling of jobs and reporting;

Worked with SAS Enterprise Guide, SAS Enterprise Miner, SAS Forecast Studio, Base SAS, and Python.

Worked with SAS Enterprise Guide, SAS Enterprise Miner, and SAS Forecast Studio;

Utilized SAS Social Media Analytics, SAS Text Miner, and SAS Visual Analytics.