Financial Analyst II - Catalent Pharma Solutions - Greenville, NC
(2026-06)
- Support manufacturing FP&A through budgeting, forecasting, monthly performance reporting, and analysis of actual results against plan and prior periods.
- Partner with operations and finance stakeholders to investigate cost, spending, and operational variances and translate findings into actionable business insights.
- Contribute to month-end close, accruals, reconciliations, management reporting, and process improvements while maintaining strong financial controls and data accuracy.
Corporate Finance Expert Writer (Contract) - Fleet AI - Remote
(2026-05)
- Design finance-domain AI evaluation tasks grounded in realistic ERP workflows, including FP&A, treasury, close and consolidation, revenue, purchasing, working capital, controls, and executive reporting.
- Build source-data packages, authoritative ground-truth models, and scoring guidance that test quantitative accuracy, business judgment, controllership, and executive communication.
- Perform quality assurance on model outputs, diagnose overly easy or ambiguous tasks, and strengthen evaluations through conflicting evidence, stale-source risks, and audit-ready validation requirements.
- Translate complex finance scenarios into concise business prompts and decision-ready expected conclusions for training and benchmarking advanced AI systems.
Senior Treasury Analyst (Short-term Project) - SOLV Energy - San Diego, CA
(2025-12 - 2026-03)
- Led enterprise cash-flow forecasting and liquidity planning, improving forecast accuracy by 12% and aligning projections with operating plans.
- Monitored debt structures and covenant compliance, maintained lender reporting, and supported intercompany funding and working-capital decisions.
- Automated treasury reporting, reducing manual effort by 25% while improving internal controls, data accuracy, and executive visibility into liquidity and debt exposure.
- Partnered with banking and internal stakeholders to improve payment processes, capital planning, and financial risk management.
Business Data Analyst / Financial Analyst - Illumina Inc. (Contract) - San Diego, CA
(2023-07 - 2024-11)
- Analyzed large datasets to identify business drivers and growth opportunities, contributing to a 15% increase in revenue through data-driven insights.
- Built Tableau, Excel, and QuickBase dashboards that reduced reporting turnaround time by 20% and delivered executive-ready performance visibility.
- Maintained 95%+ data accuracy through validation, cleansing, transformation, and documentation; supported data governance and reporting controls.
- Partnered with finance, sales, marketing, and product teams to streamline processes and reduce project turnaround time by 15%.
Financial Analyst III - Thermo Fisher Scientific - San Diego, CA
(2022-11 - 2023-06)
- Supported AOP, forecasting, budgeting, and variance analysis, improving forecast accuracy by 10% and enabling stronger management decisions.
- Developed Excel financial models and automated reporting workflows using INDEX/MATCH, SUMIFS, and PivotTables, reducing errors and cycle time by 11%.
- Produced revenue, bookings, and regional performance reporting that contributed to a 6% revenue increase.
- Managed accruals, journal entries, reconciliations, and month-end close activities in SAP and Cognos TM1 in compliance with internal controls.
Graduate Research Assistant - North Dakota State University - Fargo, ND
(2021-09 - 2022-12)
- Built econometric and machine-learning models for market forecasting, banking performance, and Federal Reserve policy analysis using Python, R, and STATA.
- Developed stock-forecasting models using Hidden Markov Models and Random Forest; applied VAR, regression, DAGs, clustering, and panel-data methods.
Senior Executive Officer / Senior Credit Analyst - IDLC Finance Limited - Dhaka, Bangladesh
(2017-10 - 2020-07)
- Performed corporate credit analysis across financial statements, cash flow, industry trends, and risk factors; developed models that reduced credit losses by 15%.
- Improved credit decision accuracy by 20%, reduced non-performing assets by 10%, and supported 12% loan-portfolio growth through disciplined analysis and risk mitigation.
- Supported forecasting and planning for a 270-member business unit and delivered financial advisory support to corporate clients.
