Decision Engineer
Fatima Aguilar
Senior Financial Analyst · Systems Engineer · Research Collaborator
I call myself a Decision Engineer because my work is centered on designing systems that help people make better decisions. Whether in finance, operations, supply chains, or research, I build tools that transform complex information into clear, explainable action. My background spans financial analysis, automation, artificial intelligence, and operations research, but the common thread is always the same: engineering better decisions.
Current Position
Jan 2026 — Present
Senior Financial Analyst
Abbott Laboratories
- ·Designed and shipped the Heatmap Engine, a procurement decision system integrating SAP, PowerShell, Power BI, and Excel, which became the seed idea behind this lab.
- ·Lead monthly, quarterly, and annual close cycles, posting 20+ journal entries and completing 25+ monthly variance analyses across multi-million-dollar operating budgets.
- ·Developed and maintained 10+ recurring management reports and Power BI dashboards, improving visibility into financial performance and reducing ad hoc reporting requests by 30%.
- ·Build SAP integrated decision support tools that consolidate 100+ data points across budgeting, forecasting, and operational metrics into a single view.
- ·Deliver 2–3 executive presentations per month translating variance drivers, operational risk, and forecast deltas into decisions for senior leadership.
- ·Partner with 5+ cross functional teams across FP&A, Accounting, Operations, and Supply Chain to turn financial results into operational action.
Previous Experience
May 2023 — Jan 2026
Financial Analyst
Bosch Home Comfort
- ·Produced 50+ comprehensive financial analyses weekly, translating raw results into executive ready insights through Power BI.
- ·Built data mining pipelines across SAP and Excel Analysis, correlating 100+ data points weekly into Power BI visualizations that surfaced business trends before they appeared in the numbers.
- ·Automated 3+ reports monthly through Alteryx, cutting processing time by 65% per report and reducing reporting costs by 35%.
- ·Contributed to Sales Planning and margin reviews with business unit leaders, shaping the forecast assumptions that drove product line strategy.
- ·Ran 25+ sales, margin, and ad-hoc analyses monthly, surfacing risks and opportunities that became actionable recommendations for business growth.
- ·Created and delivered 2+ presentations weekly to management, turning financial data into strategic narrative through Power BI.
- ·Anchored monthly business planning with 4+ forecasts per cycle, building financial models across SAP, Excel, and Power BI that tied organizational goals to grounded projections.
- ·Ran 25+ sales and margin analyses per cycle, surfacing the drivers that planners actually used, and watching them override good dashboards is what revealed how much judgment lives outside the model.
2022 — 2023
Financial Analyst & Accounting Associate
Grossman Marketing Group
- ·Processed 50+ daily accounting transactions and reconciled 25+ discrepancies per close, tightening month end accuracy across client accounts.
- ·Improved accounts receivable performance by 60% by rebuilding the collections cadence and aging review process.
- ·Replaced recurring spreadsheet work with SQL against the accounting warehouse, documenting each step as a reproducible procedure.
Education
2022 — 2023
Master of Science in Finance
Hult International Business School
- ·Board Member — Hult Finance Club.
- ·Finance Representative — Graduate Student Association.
2017 — 2021
Bachelor of Science, Business Administration
Western New England University
- ·Quantitative coursework concentrated in finance, statistics, operations, and information systems.
- ·Member of the Student Senate.
Research Interests
—Intelligent Decision Systems
—Human-AI Collaboration
—Operational Decision Making
—Financial Intelligence
—Explainable AI
—Operations Research
—Qualitative Intelligence
—Behavioral Finance
—Supply Chain Analytics
—Decision Architecture
Current Projects
Deployed
Heatmap Engine
Production procurement decision engine integrating SAP, PowerShell, Excel, and Power BI.
In Development
Finance Health Engine
Site wide financial intelligence platform integrating SAP, cost centers, budgets, forecasts, and Power BI.
Research
Qualitative Intelligence Engine
Exploring how LLMs can quantify qualitative organizational information so it can sit alongside numeric metrics.
Research Collaboration
Professor Knowledge Agent
An LLM grounded in academic publications, designed to help researchers apply existing theories to new teaching and research problems.