MSc Finance & Risk Management candidate who went from reading balance sheets in India to screening M&A targets in Tuscany — and somehow picked up 13 Forage simulations, 11 certifications, and a thesis about inventory buildup crashing valuations along the way.
I build DCF models, not apps. I debug P&L variances, not code. I speak fluent Excel, conversational Python, and survival Italian.
Currently looking for: Financial Analyst · FP&A · Data Analyst · BI Analyst · Risk Analyst roles in Italia 🇮🇹
Finance & Valuation
Data & Analytics
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SAP & ERP
Tools & Platforms
I don't just say "I know investment banking." I've built the models, written the memos, and stress-tested the portfolios. Firm by firm.
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JPMorgan · Investment Banking
Built DCF models for 3 M&A targets from scratch. Developed a full target screening framework, ran accretion/dilution analysis and competitor-bid scenarios, then distilled everything into a two-page executive auction summary. |
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Citi · Investment Banking
Comparable company analysis covering 8 peers. Five-year revenue forecasts with 3 scenario cases. Full company profiles with enterprise value breakdowns — everything a deal team needs to say "yes" or "not at that price." |
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Bank of America · Investment Banking
SWOT + DCF for Webflix. Tore apart 10-K filings of 2 targets for M&A screening. Then evaluated ECM vs DCM capital structure options — because the deal is only as good as the funding behind it. |
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Citi · Finance (FP&A)
Built and maintained dashboards tracking 12 core business KPIs. Monthly credit-card sales forecasts. Supported the annual budgeting cycle. The unglamorous backbone of FP&A — and I enjoy it more than I probably should. |
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Citi · Services
Designed a tailored credit card product for business clients. Structured a Treasury & Trade Solutions proposal. Built a risk hedging strategy using derivatives — because revenue means nothing if FX eats it. |
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Goldman Sachs · Controllers
Monthly P&L reporting and ledger reconciliation across 4 business units. Regulatory compliance checks. Prepared financial data packs for senior stakeholders — the people who ask "why is this number different from last month?" at 6pm on a Friday. |
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Standard Chartered · Credit Analyst
Led the annual credit review of Green Solutions Manufacturing. Financial health analysis using 15+ ratios with industry benchmarking. Assessed credit risk exposure and presented findings to the credit officer. The kind of work where one wrong ratio ruins someone's Thursday. |
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EY · Forensic & Integrity Services
Full fraud investigation simulation on a $2.3M case. Applied the fraud triangle to 200+ financial documents. Found 7 financial crime indicators and mapped regulatory exposure. Forensic accounting is basically being a detective who's really into spreadsheets. |
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Goldman Sachs · Risk
Quantitative risk assessment across 12 client profiles and a €450M real estate portfolio. Credit risk exposures via structured due diligence and stress testing. Because "what's the worst that could happen?" is actually a valid analytical question. |
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JPMorgan · Quantitative Research
Built 4 quantitative valuation models and portfolio optimisation algorithms using Python and financial mathematics. Statistical analysis on 50,000+ real market data points. The closest I get to "coding" — and it's still about money. |
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Goldman Sachs · Operations
Streamlined wealth management ops for 3 client segments. Resolved 28 settlement issues, managed €12M in asset transfers, and identified 5 process improvements. Operations isn't sexy — until something breaks and everyone looks at you. |
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BCG · Strategy Consulting
Full profitability analysis on the Copier Co. case. Hypothesis-driven market synthesis → 3 structured strategic recommendations → executive-style presentation to a simulated C-suite. Consulting is just finance with more PowerPoint slides and fancier frameworks. |
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KPMG · Advisory
AI-driven risk advisory analysis across 6 processes. Identified 9 compliance gaps. Presented data-driven remediation recommendations. Because "we should probably fix that" sounds better with a chart attached. |
Valdonica SRL · Tuscany, Italy — Junior M&A Analyst Support Oct – Dec 2024
Screened Italian luxury hospitality M&A targets using EV/EBITDA, revenue growth, and EBIT margin scoring. Built Excel-based DCF + comparable companies analysis with sensitivity across 5 assumptions and 5-year projections. Compiled KPI summaries, P&L reviews, competitor benchmarks, and due diligence packs. Real clients, real stakes, real espresso consumption.
TRON + Sparse6 + psychology — 18 character archetypes, works with Claude / ChatGPT / Gemini / any LLM.
Primary
Secondary
Tertiary
"Inventory Buildup as an Early Warning Signal: Working-Capital Overhang, Cash-Flow Squeeze, and Valuation Reset"
75 firms · 13 sectors · 6 super-groups · 48 formulas · FactSet · FRED
When inventory balloons relative to sales, it quietly telegraphs a cash-flow crunch — and the market eventually reprices the risk. Testing whether the signal holds across sectors and what the lead-lag structure looks like.
If that sentence excited you, we should probably talk. Expected: July 2026
🇮🇹 MSc Finance & Risk Management — University of Florence Sep 2023 – Jul 2026
Corporate Finance · Financial Statement Analysis · Computational Finance · Quantitative Finance & Derivatives · Quantitative Risk Management · Bank Management & Sustainable Finance
🇮🇳 BBA — MAKAUT, India Jul 2019 – Jun 2022
Financial Accounting · Cost Accounting · Management Accounting · Financial Management · Managerial Economics
Florence forces Italian on you. The espresso makes the grammar bearable.
If you're hiring Finance · FP&A · Data · BI · Risk talent for a project, internship, or full-time role in 🇮🇹 — I'd love to hear from you.
Also available for unreasonable conversations about inventory cycles and working-capital traps.
"Finance is the language of value. Data is the grammar. I'm just here trying to write complete sentences."