MOHAMED ELBIR

Results-driven Data Scientist with expertise in mathematics, statistics, machine learning, and data modeling. Seeking a Data Scientist 2 role at Humana to apply advanced analytics, develop predictive models, and transform complex datasets into actionable insights. Adept at creating reports, projections, and automated solutions that align with organizational strategies and enhance decision-making. Passionate about leveraging technology and business analysis to improve consumer experiences and operational efficiency.

Contract Executive Summaries:

• Built an NLP-powered automated process to extract and summarize key contract elements (category, context, performance standards, stakeholders).
• Integrated OpenAI GPT-4 to enhance document processing efficiency.

Data Quality Issue Dimension Classification:

• Created an automated mechanism to identify redundant data and optimize data storage.
• Implemented a weighted Similarity Index and cluster analysis for metadata redundancy assessment.

Redundancy Identification:

• Automated classification of ServiceNow text submissions into structured categories using NLP (TF-IDF) and XGBoost models.
• Achieved 85% accuracy, streamlining data issue resolution and resource allocation.

Race/Ethnicity Projection: 

• Developed supervised ML classification models (Logistic Regression, KNN, Random Forest, XGBoost) to assign race/ethnicity with confidence levels.
• Ensured data accuracy to support Humana's commitment to reducing health disparities and improving outcomes.

• Advanced Data analytics -General assembly
• Full Stack Developer -Code Louisville