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Work Background
General AssemblyData Science Fellow
Jan. 2024 - Jan. 2025New York, New York, United StatesPartnered with teams on hackathon and self-directed projects, leveraging machine learning, exploratory data analysis (EDA), and data collection to solve real-world problems. Built and deployed predictive models using regression, classification, clustering, and ensemble methods, driving actionable insights from complex datasets. Mastered SQL for querying databases, optimizing data pipelines, and supporting efficient analysis workflows. Executed data wrangling, feature engineering, and cleaning to transform raw data into high-quality inputs for modeling and decision-making. Applied Natural Language Processing (NLP) techniques—tokenization, sentiment analysis—to extract meaning from text data, enhancing analytical outcomes. Created impactful data visualizations with Tableau and Matplotlib, distilling trends and findings for "stakeholders" to inform strategic decisions. Delivered mini-projects and a capstone, managing the full data science lifecycle—from problem framing to model deployment—while presenting results to technical and non-technical audiences.
US ArmyUnit Armorer
Jan. 2018 - Dec. 2022Miami, Florida, United StatesMonitored and analyzed maintenance data for $1M in equipment, slashing downtime by 90% and saving hundreds of thousands in operational costs through trend identification. Achieved 100% equipment accountability over 4 years, earning 98%+ inspection scores by streamlining data collection and ensuring compliance accuracy. Utilized database systems to track performance metrics, boosting maintenance planning efficiency by 55% and optimizing resource readiness. Performed statistical analysis to predict equipment failure rates, enhancing operational uptime and informing budget-friendly repair schedules. Trained team members in data recording and visualization, cutting inspection prep time by 75% and improving unit-wide transparency
US ArmySupply Sergeant & Specialist
Jan. 2017 - Dec. 2022Miami, Florida, United StatesAnalyzed inventory and procurement data to optimize stock levels, cutting shortages by 20% and saving $35K+ annually through efficient resource allocation. Managed budget tracking and funds allocation for a tight resource pool, ensuring compliance and optimizing spending across multiple departments. Maintained zero discrepancies over 4.5 years, earning 98%+ scores on annual inspections through rigorous auditing and quantitative analysis of supply records. Built predictive models using Excel and basic Python like scripts to forecast supply needs, reducing overstock risks by 15% and enhancing budget planning. Developed visualizations in Excel and Tableau to track inventory trends and shipment timelines, speeding up decision-making and reducing discrepancies by 30%. Designed a data-driven inventory tracking system, boosting accuracy by 25% and streamlining supply chain decisions for a large operational unit. Conducted root cause analysis on supply chain gaps, identifying cost-saving patterns that shaped procurement strategies and improved financial efficiency. Automated performance reporting with Excel and SAP, cutting generation time by 30% and delivering actionable financial and operational insights to leadership. Collaborated with team leads to align supply strategies with mission goals, translating data into cost-effective solutions that supported 100+ personnel.
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