Greater Tampa Bay Area
I am a Data Scientist & Operations Analyst specializing in building data visualizations that uncover operational inefficiencies, track sustainability KPIs, and drive strategic decision-making. For more than a decade, I have managed complex, multi-million dollar supply chains across the energy generation and construction sectors while navigating volatile financial and forex markets. Through this experience, I learned a vital lesson: a broken link in the supply chain is usually a data problem in disguise. 🔍 Why Data Science? Standard spreadsheets can no longer handle modern supply chain risks. To truly protect a company's bottom line, you must predict risks before they happen, not just react to them. ⚡ Why Now? The combination of global logistics shakeups and massive data growth means companies need hybrid professionals. I bridge the gap between heavy-industrial physics and financial data. By adding advanced data science tools to my deep domain expertise, I transform complex multi-site inventory data, logistics routing, and predictive asset degradation modeling into interactive, actionable business intelligence. 🛠️ Core Technical Stack: • Data Science: Python (Pandas, NumPy, Scikit-Learn), Geospatial Analytics, SQL (PostgreSQL, BigQuery), Machine Learning (Regression, Classification, GridSearchCV) • Business Intelligence: Tableau, Power BI, Advanced Excel 🏭 Domain Focus: • Industrial Operations | Supply Chain Logistics | Sustainable Infrastructure Optimization | Asset Lifecycle Management 👉 Latest Portfolio Spotlight: Check out my Projects section below to see my hybrid performance metrics and financial risk model built for telecom customer retention. Feel free to explore my portfolio links or reach out to connect!
📈 Progressive Career Growth: Progressively promoted through 4 distinct leadership tiers over a 9-year tenure based on exceptional multi-site supply chain performance. * *Led* strategic procurement across energy networks to cut material waste by 45%. * *Optimized* financial cash flow through data-driven inventory and supply tracking. * *Boosted* supply chain reliability metrics by 30% overall. * *Leveraged* SAP MM modules to slash global material order cycle times by 50%. * *Halved* logstics system delays to maximize critical site delivery speeds. * *Built* predictive energy models and supplier scorecards to raise plant efficiency 20%. * *Analyzed* operational bottlenecks to support infrastructure and clean energy growth.
• Strategic Sourcing: Managed end-to-end procurement and competitive bidding for construction tenders, utilizing data-driven strategies to secure high-value contracts. • Inventory Control: Supervised stock levels across multiple corporate warehouses, utilizing analytical data to maximize inventory accuracy and operational oversight. • Vendor Management: Cultivated strategic supplier relationships using predictive demand forecasting to perfectly adapt to shifting project timelines.