Contact

Finance student, valuing public companies.

Seeking a finance internship. I pull financials from SEC EDGAR with Python, build DCF and return-on-capital models in Excel, and check every figure against the filings.

Mike Ilitch School of Business · Wayne State

Above: my Adobe DCF base-case sensitivity grid, 63 scenarios across WACC 9–13% and terminal growth 1–4% on a zero-based axis. Brighter bars are higher values; the glass plane is the $241 share price.

3D bar chart of Adobe’s DCF value per share across 63 WACC and terminal-growth scenarios, from $249 to $503, all above the $241 share price

Above: my Adobe DCF base-case sensitivity grid, 63 scenarios across WACC 9–13% and terminal growth 1–4% on a zero-based axis. Brighter bars are higher values; the glass plane is the $241 share price. Hover a bar.

~160K

XBRL data points parsed from 62 SEC filings

1898

formula Excel model, zero mismatches against Python

21/21

figures validated against the original filings

10+

supporter sign-ups per shift, commission only

NowMembership services at Costco Wholesale in Windsor while studying finance at Wayne State.Updated Nov 2026

Case study · Adobe (ADBE)

From filings to a verdict

How the Adobe DCF works, in four steps.

  1. Data

    Pull the filings

    A Python pipeline downloads Adobe’s reported financials from SEC EDGAR, so the model starts from the filings rather than a data vendor.

  2. Model

    Value three scenarios

    Bear, base and bull cases, each discounted to a value per share: $189, $323 and $420.

  3. Sensitivity

    Stress-test the base case

    A grid of WACC (9–13%) by terminal growth (1–4%) shows how far the base case moves with its two most sensitive inputs. All 63 combinations value the shares above $241, from $249 to $503.

  4. Verdict

    Weight, compare, run it backwards

    A probability-weighted value of $314 against the $241 price: 30% implied upside, and a BUY. A reverse DCF shows the price implies about 3% growth, against management’s 12% guidance.

Data: Pull the filings
SEC EDGAR Reported filings Python pandas pipeline DCF model Bear · base · bull 10-K and 10-Q financial statements, pulled from the source
Model: Value three scenarios
$0$100$200$300$400$500 Bear $189−22% Base $323+34% Bull $420+74% $241 price
Sensitivity: Stress-test the base case
378 392 408 426 448 473 503 356 367 381 396 414 434 459 335 345 357 370 384 401 421 317 326 336 346 359 373 389 301 308 317 326 337 349 362 286 293 300 308 317 327 339 273 279 285 292 300 308 318 261 266 271 277 284 292 300 249 254 259 264 270 276 284 9.0%9.5%10.0%10.5%11.0%11.5%12.0%12.5%13.0%1.0%1.5%2.0%2.5%3.0%3.5%4.0% WACC \ g
Verdict: Weight, compare, run it backwards
$314 probability-weighted · +30% vs $241 BUY $241 price Growth the $241 price implies ~3% Management’s growth guidance 12%

Work

Analysis and projects

Hover a row, or scroll it to the middle of a phone screen, to see it in colour.

  1. $314

    probability-weighted vs $241 price

    Valuation

    Adobe (ADBE) DCF valuation

    Automated Python pipeline that pulls financials from SEC EDGAR, models bear, base and bull cases and runs a reverse DCF. The share price implies about 3% growth against management’s 12% guidance, so I rated it a BUY.

    Read the case study
    Bar chart of Adobe DCF value per share: bear $189, base $323, bull $420, probability-weighted $314, against a $241 share price
  2. 13.9%

    GM vs 11.0% Stellantis, −2.6% Ford

    Research

    Detroit automakers: capital allocation

    Ten-year ROIC study of GM, Ford and Stellantis built from SEC EDGAR XBRL filings, separating the captive finance arms (84–91% of parent debt) to measure true automotive returns. GM led, but its return fell every single year.

    Read the case study
    Bar chart of ten-year capital-weighted return on capital: GM 13.9%, Stellantis 11.0%, Ford −2.6%

About

Numbers, and the people behind them

Portrait of Essa Shakeel

I’m pursuing a Bachelor of Business Administration in Finance at the Mike Ilitch School of Business, Wayne State University. I build valuation models in Python from SEC filings, and I check every number against the source.

I’ve also spent time on the front line of revenue: selling face to face in a commission-only role, running my own window-cleaning business and designing for paying clients. I’m reliable, coachable and at my best in fast-paced, deadline-driven environments.

Outside work, I’ve volunteered with the Windsor Islamic Association, supporting community events for 1,000+ people, and at Tecumseh Fire/Rescue Service’s F7 Fire Festival for 500+ people.

Open to
Internships and early-career roles in financial analysis, business development, client management and marketing
Education
BBA, Finance · Mike Ilitch School of Business, Wayne State University · expected May 2030
Based in
Windsor, Ontario · studying in Detroit
Languages
English, French, Urdu

Toolkit

What I bring

  1. Financial analysis

    DCF and WACC/CAPM valuation, reverse DCF, financial statement analysis and Excel modeling with sensitivity tables.

  2. Python and data

    pandas, NumPy and openpyxl pipelines that pull SEC EDGAR filings and reconcile every figure.

  3. Sales and business development

    Cold outreach, objection handling and closing, in commission-only roles and in my own business.

  4. Marketing and design

    HubSpot certified in Digital, Inbound and Social Media Marketing. Adobe Photoshop for client-ready visuals, plus a Microsoft Excel badge.

Experience

Where I’ve worked

  1. Nov 2026 – Present

    Membership Services

    Costco Wholesale · Windsor, ON · part-time

    First point of contact for 100+ members at the entrance and the membership counter, in a fast-paced warehouse: new sign-ups, renewals and membership options.

  2. Sep – Nov 2026

    Marketing Specialist

    Avora North Bridge Marketing · March of Dimes Canada · Windsor, ON · part-time

    Direct-to-consumer fundraising for 90+ partner charities, including March of Dimes Canada. 10+ new supporter sign-ups per shift in a fully commission-based role, on a 20+ person team.

  3. May – Sep 2026

    Founder

    SqueegeeX · Self-employed · Own business

    Built a residential window-cleaning business from zero: 10+ customers, 100+ windows, quotes from $50 to $200+ per job, and repeat business through reliable service.

  4. Oct 2024 – May 2026

    Freelance Graphic Designer

    Fiverr · Remote

    100+ graphics for 15+ clients, 5–10 projects a month, and a 20–30% lift in client engagement through stronger layout and typography.

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Essa Shakeel

Finance student

Finance · Marketing · Business development

Hiring for an internship or early-career role?

I’m open to roles in financial analysis, business development, client management and marketing. Or if you just want to talk markets and valuation, send me a message.

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