Currently an Extern @Attronica·🟢 Open to work
Passionate about energy consulting, capital markets, sustainable finance, FP&A, and investment analysis. I combine financial analysis and data analytics to support strategic decisions.
Explore my hands-on experience across FP&A, investment analysis, financial modelling, valuation, venture capital, and data analytics through real-world business projects.
Energy Innovation Capital · Nov 2025 · ✅ Verified by Extern
Think like a venture capitalist—faster with AI. Use AI-driven tools, databases, and market maps to spot and analyze energy, industrial, and sustainability startups, then craft investor-ready reports to pitch them like a pro.
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TruBridge · Jun 2026 · ✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on combining public health and socioeconomic datasets to explore drivers of chronic disease.
Passionate about energy consulting, capital markets, sustainable finance, FP&A, and investment analysis. I combine financial analysis and data analytics to support strategic decisions.
I am an MSc Energy Economics and Finance student with a background in Petroleum and Natural Gas Engineering. Through externships in FP&A, private company valuation, venture capital, investment analysis, and data analytics, I have developed practical experience in financial modelling, market research, valuation, and business analysis. I am passionate about capital markets, sustainable finance, energy consulting, and corporate finance, and I aim to help organizations make informed financial and strategic decisions across the energy sector.
Externships
Attronica Financial Planning & Analysis and Private Company Valuation Externship
Attronica
Education
University of Aberdeen
MSc Energy Economics & Finance · Class of 2027
Skills
✅ Verified by Extern
Think like a venture capitalist—faster with AI. Use AI-driven tools, databases, and market maps to spot and analyze energy, industrial, and sustainability startups, then craft investor-ready reports to pitch them like a pro.
During my externship at Energy Innovation Capital, I harnessed AI-driven tools to identify and analyze startups in the energy and sustainability sectors. This process culminated in crafting investor-ready reports that effectively communicated potential investment opportunities, demonstrating my ability to think like a venture capitalist.
I produced a comparative sourcing analysis, a full due diligence report with structured data and written findings, and seven synthesis reports that turned raw diligence into concise VC-style summaries.
✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on combining public health and socioeconomic datasets to explore drivers of chronic disease.
During my externship with TruBridge, I delved into healthcare data analytics, uncovering patterns and insights from large public datasets. I honed my skills in statistical modeling, trend analysis, and AI application to improve healthcare outcomes and decision-making. This experience culminated in the creation of interactive dashboards and presentations that effectively communicated my findings.
I produced a cleaned, analysis-ready dataset and an exploratory analysis that showed poverty had the strongest correlation with diabetes prevalence, income correlated negatively, and food access showed a weaker relationship.
✅ Verified by Extern · ⏱️ In progress
A 40-year-old, $80M family-owned IT firm is preparing to sell — and they need real FP&A work to back it: clean financials, a defensible forecast, and a valuation. Organize the books, model the forecast, and deliver a valuation that lands on the CEO's desk and on a buyer's table.
I engaged in a comprehensive financial planning and analysis project with Attronica, a family-owned IT firm preparing for sale. My role involved organizing financial records, developing a robust forecast, and delivering a valuation to support the company's transition. This real-world experience honed my analytical skills and deepened my understanding of the intricacies involved in corporate
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I produced a diagnostic FP&A package that included eight calculated ratios, industry peer comparisons, and a three-bullet readout identifying which financial signals were healthy and which warranted deeper review.
The work read five years of financials, compared FY25 ratios to a product-heavy peer band, flagged gaps, explained causes in 1–2 sentences per ratio, and produced a three-bullet buyer's read diagnosing the business, explaining the mix-driven performance, and posing the next buyer question.
I analyzed customer concentration, operating-cost drivers, and working-capital metrics from Attronica data, then wrote an FP&A leadership memo that identified the largest customer concentration, declining revenue per employee, and inventory actions to improve cash conversion.
Faced with six years of AV P&L data, I built a standalone five-year projection, copied historical line items into a model, set growth and margin assumptions, and produced projected sales, COGS, payroll (loaded), and net profit for FY2026–FY2030.