FINANCE STUDENT · INVESTMENT BANKING · PORTFOLIO MANAGEMENT

I study how businesses create value and how capital gets allocated.

I’m Dev Amit Pandya, an M.S. Finance student at UMass Boston. I’m working toward a career in investment banking or portfolio management. My experience spans customer credit analysis, manufacturing cost accounting, distressed-asset operations, financial analysis, and independent equity research.

Investment Banking Portfolio Management Asset Management Financial Analysis
FINANCIAL ANALYSISEXCEL MODELINGPORTFOLIO MANAGEMENTCOST ACCOUNTINGECONOMETRICSBLOOMBERG

EXPERIENCE + ACADEMIC WORK / 06

Finance experience across credit, costs, distressed assets, and portfolio research.

Internships gave me experience with financial records, operating data, management reporting, and portfolio monitoring. Academic projects let me apply portfolio theory and econometrics.

experience/mattson-technology
FINANCE & ACCOUNTING / INTERNSHIPJUNE–SEPTEMBER 2026

Mattson Technology

I am helping automate finance department processes — building AI-driven tools that streamline recurring analysis and reporting so the team spends less time on manual work. Alongside that, I evaluate customer creditworthiness using Equifax business scores and financial statements, analyze production costs and overhead allocation, and support month-end close, budgeting, and internal reporting.

FINANCE AUTOMATIONCREDIT REVIEWCOST ANALYSISMANAGEMENT REVIEW
Location
Fremont, CA
Function
Finance + Accounting
Focus
Process automation
Reporting
VP of Finance
Assisting in automating finance department processes while gaining exposure to financial controls, forecasting, and decision support.

EDUCATION + FINANCE FOUNDATION

Coursework, internships, and tools that support my next step.

This section reflects the qualifications recorded in my résumé. It does not add unsupported proficiency scores or invented credentials.

01

Master of Science in Finance

University of Massachusetts Boston. Expected completion: May 2027.

  • Aug 2025–May 2027
  • Boston, MA
02

Bachelor of Business Administration in Finance

Ahmedabad University. Completed May 2025.

  • Sep 2021–May 2025
  • Finance
03

Finance and analytics

Financial analysis, portfolio management, cost accounting, ESG analysis, and academic research.

  • Analysis
  • Portfolio theory
  • Econometrics
  • ESG
04

Tools and communication

Advanced Excel, PowerPoint, Bloomberg Terminal, management presentations, and structured financial summaries.

  • Excel
  • PowerPoint
  • Bloomberg
  • Reporting
05

Certifications

CFA Level I Candidate and Bloomberg Market Concepts.

  • CFA Level I Candidate
  • BMC

PERSONAL PROJECT / AI-ASSISTED FINANCE LEARNING

I use AI to make finance concepts tangible.

BOIII is a personal learning project. AI tools help me build and organize it, but the project is not professional software-engineering experience and I do not claim AI expertise.

WHY I BUILT IT

To learn finance by doing more than reading.

I wanted one private place to organize cited market research, write investment theses, test paper-only ideas, and see where evidence is still missing.

  1. 01
    Research organization

    Sorts material by equities, options and futures, quantitative research, and hedge funds.

    LEARNING
  2. 02
    Evidence discipline

    Separates primary sources, secondary commentary, counter-evidence, and unresolved questions.

    PROCESS
  3. 03
    Paper portfolio work

    Uses hypothetical portfolios and frozen assumptions to study risk, costs, and performance.

    PAPER ONLY
  4. 04
    AI assistance

    AI helps with organization, coding, and iteration while I focus on the finance questions I want to understand.

    ASSISTED
  5. 05
    Financial boundary

    The project does not connect to a broker, place orders, or manage real client money.

    NO TRADING

EQUITY RESEARCH + STEALTH SERIES + VISUAL EXPLAINERS + LEARNING NOTES

Finance research with the reasoning, assumptions, and risks left visible.

Full reports, source-cited notes, Stealth analyst-playbook graphics, and visual explainers are presented as educational work. Dated figures and source-graphic claims are not current market data, independently verified facts, or investment advice.

16 items
ER—001
Equity researchApr 4, 202627-page PDF

Vistra Corp — independent stock pitch

BUY at $153.79 with a $208 target and 35.2% report-date upside, using a 60% DCF / 40% relative-multiples blend.

ER—002
Sell-side-style report2026 estimatesDOCX

First Solar — company and industry analysis

BUY at $198.815 with a $250 target and 25.7% projected upside in the source report, supported by operating, DuPont, industry, and risk analysis.

ER—003
Equity researchJul 4, 2026DOCX

Take-Two Interactive — catalyst and scenario analysis

Illustrative long-term Overweight with a $281 target and 12% report-date implied return, balanced by a cautious near-term view.

V—001
Capital markets6-slide carouselDate not stated

AI IPOs and Wall Street dependence

A visual thesis on the tension between AI-led financial disruption and continued reliance on investment banks for public-market liquidity.

V—002
ValuationVisual explainerMethod comparison

DCF versus trading comparables

Where assumptions, market mood, false precision, and circular logic can distort two standard valuation methods.

V—003
Market expectationsVisual explainerDate not stated

A great business and a great stock are different bets

Why strong operating results can coexist with a falling share price when expectations were already embedded in the valuation.

V—004
AI infrastructurePower + storageVisual explainer

Two races, one AI power problem

A comparison of the race to generate enough firm power with the less mature race to store it for long durations.

V—005
Behavioral financeReading noteKahneman

The mind that reads the market

A visual reading note about how cognitive bias can shape the interpretation of markets and investing decisions.

S—001
Analyst playbookEarnings callsVisual explainer

How to read an earnings call like an analyst

A five-part checklist for comparing language, listening to unscripted answers, tracking omissions, and assessing guidance framing.

S—002
The analyst’s eyeEarnings callsVisual explainer

What they don’t say says the most

Four recurring omissions that can prompt deeper diligence: disappearing metrics, non-answers, softer language, and shifted framing.

S—003
Active management15-year claimSource not supplied

Why beating the benchmark is difficult

A visual source-checking prompt built around an undated claim that 89.5% of active U.S. large-cap funds underperformed the S&P 500 over 15 years.

S—004
ValuationValue trapsVisual explainer

A cheap stock and a bargain aren’t the same thing

A qualitative framework for separating structural business impairment from temporary, potentially fixable setbacks.

R—001
Equities7 minSources linked

When psychology meets market structure

Why an obvious pricing contradiction may still fail to become an executable arbitrage.

R—002
Options / Futures6 minPeer-reviewed source

Corporate derivatives use and stock liquidity

How to distinguish a risk-management research question from an unsupported return claim.

R—003
Quant research5 minReview paper

Why profitable backtests can disappear

Search costs, data snooping, implementation friction, and out-of-sample decay change the answer.

P—004
Research process6 minEvidence gaps

Why missing evidence should still show as zero

A learning note about incomplete research records, stricter gates, and honest uncertainty.

ABOUT / CAREER DIRECTION

I am building my finance career through study, internships, and self-directed work.

I am interested in the work behind transactions, valuation, investment research, portfolio construction, and risk. I want to join a team where I can learn from experienced finance professionals and contribute careful analysis.

How I am preparing

  1. 01
    Finance education

    M.S. Finance coursework builds on my BBA in Finance and strengthens my analytical foundation.

  2. 02
    Internship experience

    I have worked with cost data, distressed-account records, portfolio summaries, and corporate documentation.

  3. 03
    Academic application

    Portfolio construction and econometric projects help me apply theory to structured analysis.

  4. 04
    Independent learning

    I use research and AI-assisted tools to explore finance questions beyond the classroom.

R—001
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