
Connor Anastasio
Technology / Internet
About Connor Anastasio:
Results-oriented data science professional with a strong background in Data Science, Mathematics, Financial Analytics, and Economics. Proven expertise in applying advanced analytics and machine learning techniques to generate actionable insights and drive data-informed decision-making. Adept at solving complex problems and effectively communicating findings to both technical and non-technical stakeholders. Actively seeking a full-time opportunity as a Data Scientist or Data Analyst.
Experience
Outlier AI (Independent Consultant) November 2024 – Present
AI/LLM Trainer – Mathematics Expert
- Enhancing AI models by analyzing outputs and providing corrective feedback across several mathematical fields, including Differential Equations, Number Theory, and Analytical Geometry.
- Collaborating cross-functionally to refine AI capabilities, leading to model accuracy improvements.
AIG (New York, NY) January 2022 – August 2023
Underwriter: Inland Marine – Transportation & Logistics
- Ingested and analyzed revenue, asset, and vehicle data to develop comprehensive risk profiles for potential marine cargo claims.
- Leveraged in-house risk models and actuarial probabilistic functions to support and enhance the dynamic pricing strategy.
AIG (New York, NY) November 2017 – January 2022
Reinsurance Analyst & Claims Coordinator, Assumed XOL Claims
- Utilized Tabula to extract and convert claims data from PDF documents into structured tabular formats. Developed a centralized policy database, improving data accessibility, streamlining claims processing, and accelerating payment disbursements.
- Identified potential claims for commutation, enabling the consolidation of legacy accounts and facilitating account closures, which contributed to a reduction in operating expenses.
Education
Western Governors University, Salt Lake City, UT Expected Fall 2025
Master of Science, Data Analytics - Data Science
Rutgers University, New Brunswick, NJ Fall 2012 – Spring 2017
Bachelor of Arts in Mathematics & Economics
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