LUGAIN ALALYANI

Motivated Statistics and Data Science student at Imam Abdulrahman Bin Faisal University with a foundation in statistical analysis, machine learning, and big data technologies. Experienced in developing data-driven solutions through academic projects and awarded Second Place in the Best Scientific Poster Competition for Graduation Projects. Seeking a Cooperative Training opportunity to apply analytical and technical skills while gaining hands-on industry experience.

• Second Place Winner – Best Scientific Poster Competition (2026)
• Awarded Second Place among Statistics and Data Science graduation projects.

Dynamic Risk Index (DRI) for Cryptocurrency Risk Assessment

• Developed a Dynamic Risk Index (DRI) for cryptocurrency risk assessment using statistical analysis and machine learning techniques.
• Implemented LSTM and Random Forest models for forecasting and risk classification.
• Evaluated model performance using MAE, RMSE, and R² metrics.
• Applied statistical indicators and time-series analysis to support investment risk assessment.

• Data Mining and Machine Learning
• Statistical Inference
• Big Data Analysis
• Database Concepts and Design