Charles Flenner

About Charles Flenner

I’m a Senior Data Scientist at Langan Engineering, focused on turning complex enterprise data into actionable insights that drive business performance. My work sits at the intersection of data science, analytics engineering, and enterprise systems, where I design scalable solutions across SAP Datasphere and analytics platforms to support finance, operations, and project decision-making.I hold a Master of Information with a concentration in Data Science from Rutgers University and a Bachelor’s degree in Information Technology & Informatics, with minors in Business Administration and Digital Communication. I am also pursuing a Master of Science in Analytics (Computational Data Analytics) at Georgia Tech.My experience spans SQL, Python, R, SAP Datasphere, and advanced analytics, with a focus on building end-to-end data pipelines, optimizing reporting frameworks, and enabling data-driven strategy. I’m particularly interested in leveraging AI/ML to improve efficiency, forecasting, and decision intelligence within enterprise environments.

Experience

1. Senior Data Scientist Ssi

   Langan Engineering & Environmental Services

   Jul 2025 — Present · Parsippany, NJ, US

   Lead development of enterprise data solutions across SAP Datasphere and SAP Analytics Cloud, enabling finance and operations teams to make data-driven decisions-Design and optimize end-to-end data pipelines integrating S/4HANA, SuccessFactors, and legacy systems to support reporting, analytics, and application data flows-Build and maintain complex SQL models and transformations that power dashboards across employee, project, financial, and operational analytics, enabling data-driven decision-making-Partner with business stakeholders (Finance, PMs, Executives) to translate requirements into scalable data models and actionable insights-Improve data quality and reporting accuracy by identifying data issues, implementing validation logic, and resolving inconsistencies across systems-Develop automated monitoring and alerting solutions to proactively identify data anomalies, pipeline failures, and business-critical changes-Contribute to automation and efficiency initiatives by leveraging Python and advanced analytics techniques.

Education

• AT&T Summer Learning Academy

  Business

  2020

• Georgia Institute of Technology

  Master of Science - MS, Computational Data Analytics

• Rutgers University–New Brunswick

  Master's degree, Information: Data Science Concentration

• Rutgers University–New Brunswick

  Bachelor's degree, Information Technology

  2018 — 2022