Samy Babikerali

Lead Data Scientist

● Led the redesign of a legacy job-matching system using Sentence-BERT, significantly improving contextual relevance and deploying the solution to production ● Designed a hybrid semantic- and rule-based matching framework aligned with real-world operational constraints ● Improved robustness of an AI job-application automation tool by implementing structured exception logging ● Collaborated cross-functionally with leadership and engineers to deliver scalable, business-aligned ML solutions

• Led the redesign of a legacy job-matching system using Sentence-BERT, significantly improving contextual relevance and deploying the solution to production
• Designed a hybrid semantic- and rule-based matching framework aligned with real-world operational constraints
• Improved robustness of an AI job-application automation tool by implementing structured exception logging
• Collaborated cross-functionally with leadership and engineers to deliver scalable, business-aligned ML solutions

● Designed recurring and adhoc program reports using automated data cleaning pipelines and scripted workflows. ● Created dashboards and visualizations that turned complex data into clear insights for faculty and leadership. ● Managed departmental databases and compiled targeted KPI focused reports to support data driven decisions. ● Worked with faculty and staff to identify reporting needs and develop scalable, efficient data processes.

• Designed recurring and adhoc program reports using automated data cleaning pipelines and scripted workflows.
• Created dashboards and visualizations that turned complex data into clear insights for faculty and leadership.
• Managed departmental databases and compiled targeted KPI focused reports to support data driven decisions.
• Worked with faculty and staff to identify reporting needs and develop scalable, efficient data processes.

● Rebuilt and migrated legacy Smartsheet-based data pipelines and dashboards to Microsoft power suites. ● Developed and optimized ETL/ELT pipelines to streamline data extraction, transformation, and loading processes. ● Automated recurring data workflows and transformations to reduce manual effort and improve data accuracy.

• Rebuilt and migrated legacy Smartsheet-based data pipelines and dashboards to Microsoft power suites.
• Developed and optimized ETL/ELT pipelines to streamline data extraction, transformation, and loading processes.
• Automated recurring data workflows and transformations to reduce manual effort and improve data accuracy.

● Led classroom discussions and created comprehensive teaching materials that streamlined student learning. ● Delivered key lectures to a classroom of over 100 students fostering understanding of complex topics. ● Guided students through challenges demonstrating leadership and deep knowledge in Machine Learning and Git.

• Led classroom discussions and created comprehensive teaching materials that streamlined student learning.
• Delivered key lectures to a classroom of over 100 students fostering understanding of complex topics.
• Guided students through challenges demonstrating leadership and deep knowledge in Machine Learning and Git.

● Oversaw the data engineering, and database development team. ● Integrated LLMs to Database for state of the art data retrieval and analysis. ● Improved report accuracy by computing relevant statistical analysis which positively impacted client satisfaction. ● Created market research, business analysis, and briefing reports for executive meetings.

• Oversaw the data engineering, and database development team.
• Integrated LLMs to Database for state of the art data retrieval and analysis.
• Improved report accuracy by computing relevant statistical analysis which positively impacted client satisfaction.
• Created market research, business analysis, and briefing reports for executive meetings.

Courses: Data Mining, Visual Analytics, Strategic Business Analytics, Database Systems, Business Intelligence

Honors: Consecutively on the Chancellor’s List