Hi, I am
Mohammad
Osama Khan
Germany
MSc Financial Economics | FP&A, Controlling & Financial Analysis | Python & AI/LLM Automation
Hi, I am
Germany
MSc Financial Economics | FP&A, Controlling & Financial Analysis | Python & AI/LLM Automation
About
Unlike most finance professionals, my focus is beyond number crunching alone. Instead, I combine financial economics with coding using programming languages like Python, as well as AI, and inject them into FP&A and other business processes to make them smarter, faster, and more automated.
This approach comes from my experience in various industries: Finance (academics and work), broadcasting operations for the FIFA World Cup, and sales at Vodafone. One issue that stands out in each is data lying idle, processes done manually when they shouldn't be, and decision-making being far too slow. I build the tools to change that.
Projects
A Python tool that reads a company's income statement from Excel, calculates variance analysis, and generates AI-written commentary — automating the manual FP&A variance reporting process into a single-click Streamlit workflow. Built to pair with a manually-built Siemens AG FY2025 Excel FP&A model, so the AI-generated commentary could be validated against real analyst reasoning.
View on GitHub ↗A decentralised parametric crop insurance system that reads live soil moisture data from IoT sensors and automatically triggers Ethereum smart contract payouts based on predefined drought and flood thresholds — no manual claims process required. Built with Raspberry Pi 4, ADS1115 sensor, Solidity, and Web3.py.
View on GitHub ↗A time series forecasting pipeline for Nvidia (NVDA) stock combining ARIMA and Facebook Prophet — benchmarked head-to-head (RMSE 6.25 vs 22.21) — then extended into Monte Carlo simulation of future price paths and a Monte Carlo-based valuation of a real NVDA call option.
View on GitHub ↗An empirical asset pricing study applying CAPM and the Fama-French Three-Factor Model to five Euronext 100 equities (ING Groep, Kering, Thales, Galp Energia, Ipsen) over a five-year period. Runs OLS regression to estimate factor loadings, compares model fit across both frameworks, and evaluates size and value premiums in the European equity market.
View on GitHub ↗Experience
SBM
Studentischer Börsenverein Magdeburg e.V. (SBM) · Magdeburg, Germany
HBS
Host Broadcaster (HBS) · FIFA World Cup 2022, Doha, Qatar
Al Nasaq Trading · Doha, Qatar
VF
Vodafone · Doha, Qatar
Skills
Python
SQL
R
Excel
HTML & CSS
Certificates & Achievements
AmplifyME · In Partnership with UBS
Completed a live investment banking simulation as a junior analyst involving building a valuation model in Excel and creating a client pitch deck for an M&A deal.
AmplifyME · In Partnership with Morgan Stanley and UBS
Completed a live simulation of sell-side trading and buy-side asset management, making real-time portfolio and risk decisions in response to breaking news from the market.
MiIT — Match innovative Ideas + Talents
Generated a complete business plan from scratch as a team of 3 and competed against 5 other teams.
Contact
