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Mike Cusentino

@mikecusentino

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Data Scientist passionate about sustainability and climate change.

Zimbabwe

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What I'm looking for

I seek a role that fosters innovation in sustainability and data analytics.

I am a dedicated Data Scientist with a strong background in sustainability and climate change. Currently, I provide data science support for the Commander’s Risk Mitigation Dashboard at Booz Allen Hamilton, where I utilize PySpark and Databricks to manage data pipelines and enhance the granularity of risk scores for Navy personnel. My work involves constructing dashboards in Tableau to present critical resilience-related data to senior leadership, ensuring that our insights drive meaningful change.

Previously, I served as an Operations Research Analyst and Green Office Team Coordinator, where I developed cost estimation models and conducted data analysis using R and Excel. My commitment to sustainability extends beyond my professional work; I actively participate in coastal cleanup events and volunteer for data analysis projects that promote environmental awareness. My educational background includes a Master of Professional Studies in Data Analytics from Pennsylvania State University, where I honed my skills in predictive modeling and data visualization.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Booz Allen Hamilton

Jan 2023 - Present (2 years 6 months)

Provides data science support for the Commander's Risk Mitigation Dashboard (CRMD), a predictive modeling tool that displays behavioral risk for Navy personnel. Works in PySpark within Databricks to manage data pipelines and put together synthetic code that generates CRMD resilience-related domain risk scores for Navy sailors and simulates real-life Navy data sources.

Pyspark Databricks Python Tableau SQL Data Pipelines Data Science Data Management

Data Analytics Volunteer

I Love a Clean San Diego (ILACSD)

Jan 2024 - Present (1 year 6 months)

Ran queries in SQL to answer questions regarding the demographics of the Waste Free San Diego website userbase, such as where users are located, which items are users looking to recycle, repair, or donate, and how the trends in searches have changed over time. Identified discrepancies and cleaned ILACSD data tables with SQL to ensure higher data consistency and quality when queries were running on

SQL Data Analysis Data Cleaning Trend Analysis Database Management

Operations Research Analyst

Booz Allen Hamilton

Jan 2017 - Present (8 years 6 months)

Provided cost estimation, consulting expertise, analysis of programmatic data, research, and general program support to three major government clients. Developed Excel spreadsheets and Tableau visualizations of independent government estimates and conducted data cleaning in R to support quantitative data analysis and provide timely cost estimates for clients.

Cost Estimation Data Analysis Excel Tableau R Consulting Program Management Data Cleaning Quantitative Analysis

Technical & Operations Manager

United States Navy

Jan 2013 - Present (12 years 6 months)

Organized safety meetings to present employee statistics and anticipated program costs to senior executives, leading to detailed estimates regarding shipboard safety and improved practices for 350 co-workers. Developed standardized procedures for 17 defunct safety programs with spreadsheets to identify over 50 discrepancies, resulting in a 15% score increase and grade-A level certification during

Program Management Data Analysis Microsoft Excel Technical Reporting Process Improvement Risk Management Safety Procedures

Education

Degrees, certifications, and relevant coursework

University of Wisconsin-Madison

Bachelor of Science, Applied Mathematics, Engineering, and Physics (AMEP)

Completed coursework in calculus through differential equations, modern physics, nuclear engineering theory, and instrumentation laboratories. Conducted extensive data analysis for over 80 laboratory reports in nine different courses, represented through graphs and charts to prove experimental theories in Physics and Nuclear Engineering.

Pennsylvania State University

Master of Professional Studies, Data Analytics

Completed coursework in predictive modeling, data mining, data cleaning, data exploration, statistics, R & Python programming & analytics, relational databases with SQL, structured data sources, data visualization with Tableau, pandas, numpy, & scikit-learn packages in Python, and data-driven decision making. Constructed predictive models using pandas & scikit-learn packages in Python to forecast