Investment Club President
UMass Boston
FINANCE MINDSET. BUILDER INSTINCT.
Dev Amit
Pandya.
Research the business.
Build the next chapter.
M.S. Finance at UMass Boston. Investment Club President. Accounting & Finance Teaching Assistant. Explore the research, experience, and initiative behind the profile.
Explore like an analyst. No game required. No live market feed.
01ResearchFrom thesis to evidence↗
02ExperienceCredit, costs & reporting↗
03LeadershipInitiative beyond class↗
PICK A SIGNAL. OPEN THE STORY.
VALUATION DCF + COMPSRESEARCH THESIS → EVIDENCERISK SCENARIOS, NOT CERTAINTYLEADERSHIP UMASS BOSTONBUILDING CAMPUS INITIATIVES
THE HANDS-ON FINANCE LAB
Pull the levers.
See the trade-offs.
Change the assumptions, inspect the arithmetic, and explore how I approach finance. These are teaching models—not company forecasts or investing recommendations.
FICTIONAL COMPANY · FIVE-YEAR FCFF MODEL
What is the business worth
under your assumptions?
Start with $10m of fictional year-zero free cash flow to the firm. Change five-year growth and discount assumptions. The result is operating value—not equity value or a share price.
How is this calculated?
FCFFₜ = $10m × (1 + forecast growth)ᵗ. Each forecast cash flow is discounted by (1 + discount rate)ᵗ. Terminal value at year 5 = FCFF₅ × (1 + terminal growth) ÷ (discount rate − terminal growth), then discounted five years. Operating value is the sum.
The sliders illustrate sensitivity, not economically validated assumptions. Reinvestment and operating fundamentals are not separately modeled. Debt, non-operating assets, taxes, and share counts are not reconciled into equity value.
CFA Institute: FCFF valuation ↗NYU Stern: terminal-value limitations ↗
FICTIONAL OPERATING VALUE
Inspect a forecast year
DISCOUNTED FCFFFictional cash flows. No live prices. No terminal-value result when the discount rate is at or below terminal growth.
100 FICTIONAL TOKENS · THREE AUTHORED SCENARIOS
Build a mix.
Test its assumptions.
Allocate 100 fictional tokens. Apply the invented shocks and inspect the result. This is a teaching exercise, not a return forecast or recommended portfolio.
TOKENS ALLOCATED
Moving one slider does not silently rebalance the others. Results are withheld until the total is exactly 100.
CHOOSE AN INVENTED SCENARIO
Toy equity sell-off
| Sleeve | Tokens | Shock | Change* |
|---|
*Change is in fictional tokens. These single-step scenarios omit fees, inflation, taxes, changing correlations, and other risks. They do not estimate future returns or prove diversification.
REAL EXISTING RESEARCH · DATED SOURCE WORKBOOKS
Compare the reasoning.
Not just the ticker.
Choose two cases, inspect the different questions and risk lenses, and enlarge the original workbook figures. These are my existing educational cases—not recommendations or refreshed price targets.
01 / THE INTERACTIVE RESEARCH DESK
Don’t just scroll.
Follow your curiosity.
Choose your lens, open a research ticker, or trace my experience. The interface changes; the evidence stays accessible.
YOUR LENS
Start with the thesis. Open the assumptions, models, and limitations.
DEV / PORTFOLIO EXPLORERCLICK TO INVESTIGATE
Report · April 4, 2026
Vistra investment thesis
A catalyst-led power thesis. Follow the business, valuation assumptions, and risks—not a live share price.
- Method
- DCF + trading comparables
- Question
- Fundamentals versus expectations
- Risk lens
- Catalyst timing + valuation
EXPERIENCE / SELECT A CHAPTER
Different desks. The same attention to detail.
Finance & Accounting Intern
Mattson Technology
Fremont, CA · June–September 2026
Customer creditworthiness, financial-statement review, production costs, month-end close, and internal reporting. I also helped streamline recurring finance analysis through AI-assisted process automation.
- Credit review
- Cost analysis
- Reporting support
LEADERSHIP / CURRENT ROLES, DEVELOPING INITIATIVES
Finance is a team activity.
Accounting & Finance Teaching Assistant
UMass Boston
Investment Club websiteCo-developing with a friend · in development
University-level investment competitionDeveloping the competition and preparing to lead it · in planning
Departmental alumni databaseIn development · planned check every two weeks
HOW I THINK / EVIDENCE BEFORE CONVICTION
A thesis needs a way to be wrong.
Find the evidence.
Start with dated sources and distinguish facts from interpretation.
Make assumptions visible.
Open the model, scenarios, and variables that drive the conclusion.
Look for the downside.
Study timing, balance-sheet risk, and competing explanations.
State what changes the view.
A useful thesis identifies what would invalidate it.
02 / THE ANALYST CHALLENGE
A little due diligence.
A different introduction.
Three finance questions. Three chapters of my story. Try the interactive route—or skip straight to the essentials. Nothing on this site is locked behind a score.
THINK LIKE AN ANALYSTOPTIONAL · NO TIMER
0 / 3
CHECK 1 / 3 · VALUATION
Same positive future cash flow. Higher discount rate. What happens to present value?
Explore my DCF versus comparables note ↗You’ve met the analyst.
Research, practical experience, and campus initiative—three parts of the same story. This was a learning interaction, not an investing assessment or a recommendation.
Ask what the price assumes.
Complete the valuation check to reveal this chapter—or use the quick profile anytime.
I study companies through valuation, catalysts, scenarios, and explicit risk. Explore my dated research on Vistra, Take-Two, and First Solar.
Explore the research ↓Go beyond the headline.
Complete the expectations check to reveal this chapter—or go straight to the experience section.
Internships introduced me to creditworthiness, cost accounting, distressed accounts, corporate records, and reporting. Details matter when a decision depends on the numbers.
Trace the experience ↓Turn conviction into initiative.
Complete the downside check to reveal this chapter—or read the leadership section directly.
I’m Investment Club President and an Accounting & Finance Teaching Assistant at UMass Boston, while developing a club website, university-level competition, and departmental alumni database.
Meet the campus projects ↓SELECTED FINANCE WORK / 04
Research, with the reasoning attached.
Educational and academic work—not professional deal execution, audited performance, or current recommendations. Each case states its date and limitations.
01 / EQUITY RESEARCHAPR 4, 2026
Vistra investment thesis
A catalyst-led power thesis using DCF and peer-relative valuation, with a separate post-report follow-up.
- Question
- Fundamentals vs. price
- Method
- DCF + comparables
- Catalyst
- Results + contracts
- Risk
- Timing + valuation
02 / SCENARIO ANALYSISJUL 4, 2026
Take-Two Interactive
A franchise thesis balanced against premium valuation, launch timing, monetization, and bull/base/bear outcomes.
- Question
- Upside vs. timing
- Method
- Scenario valuation
- Catalyst
- Release cycle
- Risk
- Delay + multiple
03 / COMPANY + INDUSTRYDOC MODIFIED MAR 19, 2026
First Solar
A company and industry report covering financial performance, DuPont analysis, competition, policy, and execution. The document itself does not state a publication date.
- Question
- Domestic advantage
- Method
- Financial + industry
- Catalyst
- Backlog + policy
- Risk
- Execution + pricing
04 / ACADEMIC PORTFOLIOHYPOTHETICAL
$300,000 global portfolio
An academic allocation exercise connecting macroeconomic views with diversification, risk, and portfolio rationale.
- Question
- Macro to allocation
- Method
- Portfolio construction
- Constraint
- Risk + diversification
- Boundary
- No real capital
LEADERSHIP & CAMPUS PROJECTS
Putting initiative into practice.
Alongside my finance studies, I lead the Investment Club, work as a teaching assistant, and build projects for the UMass Boston community.
Investment Club President
UMass Boston
Leading the Investment Club while co-developing its website and preparing to lead a university-level investment competition.
Teaching Assistant
Accounting & Finance · UMass Boston
Serving as a teaching assistant in the university’s Accounting & Finance department alongside my M.S. Finance studies.
What I’m building on campus
Work in progress · not completed launches
01 / DIGITAL COMMUNITYIn development
Investment Club website
Co-developing a website with a friend for UMass Boston’s Investment Club.
- My role
- Co-developer & club president
- Focus
- A digital home for the club
02 / INVESTMENT COMMUNITYIn planning
University-level investment competition
Creating a university-level investment competition and preparing to lead it at UMass Boston.
- My role
- Competition development & lead
- Stage
- Planning the competition
03 / DEPARTMENTAL DATAIn development
Departmental alumni database
Developing an alumni database and update script for UMass Boston’s Accounting & Finance department, designed to check for changes and refresh alumni details.
- Planned refresh
- Check every two weeks
- My role
- Database & automation development
These initiatives are in progress. The two-week alumni refresh is planned, not presented as an active production schedule. No alumni records are published on this site.
04Relevant internships
03Company research cases
04Formula workbooks
21Research entries
08CFA learning visuals
05Shareable case studies
ROLE PATHWAYS / EVIDENCE MAP
Start with the work most relevant to your team.
These are navigation paths into existing evidence—not claims of professional deal execution or investment authority.
Investment banking
Transaction mechanics, valuation, scenarios, capital-markets research, and presentation.
Open transaction evidence ↗Equity research / asset management
Company theses, catalysts, risks, and invalidation conditions.
Open scenario case ↗Credit / corporate finance
Creditworthiness, cash-flow review, costs, variance, and reporting.
Open experience evidence ↓EXPERIENCE + ACADEMIC WORK / 06
From credit analysis to financial reporting.
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
Mattson Technology
I evaluated customer creditworthiness using Equifax business scores, balance sheets, income statements, and cash flows; analyzed production costs, material usage, and overhead allocation; and supported month-end close, budget tracking, and internal reporting. I also helped streamline recurring finance analysis and reporting through AI-assisted process automation.
CREDIT ASSESSMENT→FINANCIAL REVIEW→COST & VARIANCE→REPORTING SUPPORT
- Location
- Fremont, CA
- Function
- Finance + Accounting
- Analysis
- Credit + costs
- Reporting
- VP of Finance
FINANCE CAPABILITIES / EVIDENCE LINKED
The methods behind the work.
No proficiency percentages. Each capability points to a report, academic project, or documented internship responsibility.
Valuation
- DCF
- Trading comparables
- Scenario analysis
- Sensitivity thinking
Company analysis
- Financial statements
- DuPont framework
- Earnings-call review
- Industry analysis
Portfolio and risk
- Asset allocation
- Diversification
- Macroeconomic scenarios
- Behavioral finance
Credit and accounting
- Creditworthiness assessment
- Cash-flow review
- Cost and variance analysis
- Reporting support
RESEARCH PREVIEW / 06 OF 21
Notes from the research desk.
The complete collection includes equity research, valuation, capital markets, portfolio and risk, derivatives, quantitative research, and CFA learning.
LATEST / JUL 29
PERSONAL CFA LEVEL I STUDY REFLECTION
Read latest post ↗I lowered the bar. That’s why I’m still going.
A dated note about protecting the study habit on tired nights—without presenting a self-reported streak as measured productivity or an exam result.
CM—002
Capital One–Discover transaction mechanics
How a fixed exchange ratio transfers market-price risk, with reproducible premium, ownership, synergy, and sensitivity calculations.
ER—004
Vistra — fundamentals moved before the price
A follow-up asking whether improving operating evidence means the thesis is early—or whether its expected catalyst is wrong.
V—002
DCF versus trading comparables
Where assumptions, market mood, false precision, and circular logic can distort two standard valuation methods.
S—004
A cheap stock and a bargain aren’t the same thing
A qualitative framework for separating structural business impairment from temporary, potentially fixable setbacks.
S—001
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.
V—001
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.
Explore all 21 research entries ↗
Dated educational work · sources and limitations remain visible · not investment advice
EDUCATION + FINANCE FOUNDATION
A foundation in finance.
This section reflects the qualifications recorded in my résumé. It does not add unsupported proficiency scores or invented credentials.
Master of Science in Finance
University of Massachusetts Boston. Expected completion: May 2027.
- Aug 2025–May 2027
- Boston, MA
Bachelor of Business Administration in Finance
Ahmedabad University. Completed May 2025.
- Sep 2021–May 2025
- Finance
Finance and analytics
Financial analysis, portfolio management, cost accounting, ESG analysis, and academic research.
- Analysis
- Portfolio theory
- Econometrics
- ESG
Tools and communication
Advanced Excel, PowerPoint, Bloomberg Terminal, management presentations, and structured financial summaries.
- Excel
- PowerPoint
- Bloomberg
- Reporting
Certifications
CFA Level I study in progress. Bloomberg Market Concepts completed November 30, 2025.
- CFA Level I study
- Bloomberg Market Concepts
FINANCE RESEARCH PROCESS / PRIVATE + PAPER ONLY
Evidence before conviction.
This private research workspace helps me organize sources, structure investment questions, and test educational hypotheses. AI-assisted tools support organization and iteration; they do not replace financial judgment or create professional investment authority.
HOW I USE THE PROCESS
Make the reasoning inspectable before judging the conclusion.
Each note should show what evidence supports the idea, what remains unresolved, which assumptions drive the answer, and what would invalidate the thesis.
- 01Source disciplineEVIDENCE
Separates primary evidence, secondary commentary, dated claims, and unresolved questions.
- 02Thesis structureREASONING
Records the mechanism, competing explanation, catalysts, risks, and a falsifiable view.
- 03Valuation and scenariosANALYSIS
Uses explicit assumptions, sensitivity work, benchmarks, and paper-only evaluation where appropriate.
- 04AI-assisted organizationSUPPORTING
AI helps organize material and iterate on tools while finance analysis remains the decision surface.
- 05Financial boundaryPAPER ONLY
No broker connection, live orders, client money, audited performance, or autonomous investment authority.
CONTACT / BOSTON, MA
Let’s talk finance.
M.S. Finance, UMass Boston · Expected May 2027. I’m interested in investment banking, equity research, and asset-management opportunities—where I can contribute careful analysis and learn from experienced finance professionals.