Michael Manna

I am a Senior Data Scientist with six years of experience in data analytics with Fortune 200 companies. Utilized SQL, modern Python data stack (Pandas, Scikit Learn, Tensorflow, XGBoost, etc.) and cloud computing platforms (Azure, DataBricks) to develop machine learning pipelines for predictive modeling. Decreased manufacturing downtime by 19% by utilizing time-series based models to predict downtime events.

Adept at performing statistical analysis, training machine and deep learning algorithms, creating interactive data visualizations, and implementing Monte Carlo simulations to answer business questions.

Senior Data Scientist at Altria (2021-10 – Present)

• Built ETL pipelines and engineered features in Databricks to develop time-series and deep-learning models on manufacturing PLC telemetry, validating model performance with relevant metrics and reducing specific downtime events by 19%.
• Led a cross-functional team to develop and operationalize an hourly worker attrition model that tracked movement and attrition, informing workforce planning and scheduling; operationalized models in Databricks using MLflow for reproducible training, deployment, and model versioning.
• Performed statistical modeling and product data analysis that shortened clinical trial duration by 67% and identified relationships among product attributes, dissolution data, and consumer experience.
• Utilized feature engineering techniques, SHAP, and partial dependence plots of disparate data sets for a root cause analysis of machine jamming to inform lead engineers of preventative measures.

Data Analyst at Estes Express Lines (2020-11 – 2021-10)

• Automated and maintained daily and weekly reporting pipelines using SQL and Python, improving the consistency and timeliness of operational insights for senior management by standardizing ETL jobs and schedules.
• Developed data visualizations in Tableau to analyze geospatial trends in deadhead and headhaul trips, supporting transportation planning and routing decisions.
• Applied machine learning techniques and feature engineering to identify cost-saving opportunities for specialty suppliers, contributing to a 9% reduction in supplier costs.

Math Instructor at John Tyler Community College (2018-09 – 2020-05)

• Taught college-level mathematics and statistics courses to a diverse student population, including curriculum that emphasized quantitative reasoning and statistical literacy.
• Designed assessments and instructional materials to support mastery of statistical concepts and problem solving.

Mathematics Educator at Powhatan County High School, Caroline County High School (2014-08 – 2020-11)

• Incorporated instructional technologies into lesson delivery to improve student engagement and support learning outcomes.
• Managed classroom behavior effectively while maintaining a structured, supportive environment for diverse learners.

Master's in Mathematics Education – Saint Joseph's University

Bachelor's in Mathematics – Saint Joseph's University