Boston, USA · Open to Relocate

Mohammed
Rashad.

Finance meets data. Turning numbers into decisions.

MS Business Analytics candidate at Hult International Business School with a background in Finance. I build financial models, ship SQL pipelines, and translate messy data into strategy. From $30B M&A theses and 1st-place portfolio simulations to €1.5M logistics network optimizations.

View projects →Get in touch resume.pdf ↗

~/stocktrak_sim.py

> load macro_indicators.csv

> compute rsi(nvda, tsla)

> rebalance β = 0.59

sharpe ratio: 2.72

alpha: +145%vs S&P 500

portfolio · α+145% vs S&P

/ currently

live

location: Boston, MA
studying: MS Business Analytics @ Hult
reading: The Psychology of Money, Morgan Housel
tinkering with: Power BI dashboards + Excel Solver LPs
listening: Nikhil Kamath's WTF
status: Open to 2026 roles in analytics & finance

◆SQL◆Python◆C++◆Excel (Advanced)◆Excel Solver◆Power BI◆Tableau◆MySQL◆Snowflake◆AWS◆Google Analytics◆MS Access◆Jira◆GitHub◆StockTrak◆Financial Modeling (DCF, WACC, NPV, EVA)◆M&A Deal Structuring◆Forensic Accounting◆Cost Accounting (ABC, FIFO/LIFO)◆Master Budgeting◆Financial Reporting◆Consolidation◆LBO Valuation◆Derivatives Pricing (Black-Scholes, Binomial Trees)◆Value at Risk (VaR)◆Portfolio Management◆Asset Allocation◆Technical Analysis◆Basel I / II / III◆Hedging (Swaps, Futures)◆Data Governance◆Database Design◆Data Modeling◆Data Visualization◆Statistical Analysis◆KPI Tracking◆Linear Programming (LP)◆Integer Linear Programming (ILP)◆Nonlinear Programming (NLP)◆Monte Carlo Simulation◆SQL◆Python◆C++◆Excel (Advanced)◆Excel Solver◆Power BI◆Tableau◆MySQL◆Snowflake◆AWS◆Google Analytics◆MS Access◆Jira◆GitHub◆StockTrak◆Financial Modeling (DCF, WACC, NPV, EVA)◆M&A Deal Structuring◆Forensic Accounting◆Cost Accounting (ABC, FIFO/LIFO)◆Master Budgeting◆Financial Reporting◆Consolidation◆LBO Valuation◆Derivatives Pricing (Black-Scholes, Binomial Trees)◆Value at Risk (VaR)◆Portfolio Management◆Asset Allocation◆Technical Analysis◆Basel I / II / III◆Hedging (Swaps, Futures)◆Data Governance◆Database Design◆Data Modeling◆Data Visualization◆Statistical Analysis◆KPI Tracking◆Linear Programming (LP)◆Integer Linear Programming (ILP)◆Nonlinear Programming (NLP)◆Monte Carlo Simulation

/ highlights

Four numbers I'm proud of.

Real estate deal closed

$0.00M

Sharpe ratio in StockTrak sim

0.00

H-1B LCAs processed in SQL

0K+

Outperformed S&P 500

/ featured case study

M&A Investment Proposal: Netflix ⇢ Paramount

Determine strategic viability and fair value of a $30B+ media acquisition to expand content infrastructure.

Aggregated 5 yrs of 10-K / 10-Q data to baseline revenue stability and debt obligations.
Built a dynamic 5-year forecast model; normalized non-recurring items → 9.27% projected revenue growth.
Ran DCF + sensitivity on WACC & Terminal Value, identifying 41% undervaluation ($18.58 implied vs $13.16 market).

see full portfolio→

valuation · dcf

41% undervalued

implied

$18.58

bid

$14.49

market

$13.16

implied

$18.58

final bid