Biomedical Engineering student. I validate algorithms in HealthTech, build trading systems that run live, and help businesses make smarter decisions with their own data.
As a Biomedical Engineering student I learned that an algorithm only has value once it's proven reliable. At Alderli I completed a project on algorithm validation: collecting the dataset myself, building a logistic regression model and statistically determining which variables actually matter.
I apply that same discipline outside the lab. I build algorithmic trading systems in Python that run live on Oracle Cloud, and carry out data analyses that give businesses concrete answers to their questions.
On top of that, as a Strategic Business Partner at Webticians I help small businesses win new clients and sharpen their marketing. That mix works well: I can talk data with a developer and growth with a business owner.
Everything listed here shows up in the work further down. I'd rather not claim anything I can't show.
Every question starts with data. Collecting it, cleaning it, and above all checking whether you can build on it. At Alderli that meant recording the dataset myself; with a client it means being honest about what the numbers can and can't say.
Then I figure out what actually matters. Statistical models that show which variables make the difference — logistic regression for medical data, backtests for trading strategies, segmentation for customer data.
A model isn't finished until someone can make a decision with it. So: systems that just run, visualisations you can use right away, and explanations in plain language.
Logistic regression model built in Python during a HealthTech internship project. Recorded the dataset myself and ran statistical analyses to determine which variables had a significant effect on the outcome.
Various algorithmic trading strategies built in Python, based on statistical research into market behaviour. Each strategy is validated on historical data before it goes live.
Custom data analyses based on the client's specific question: from customer and product insights to retention and behavioural analyses. Built in Python with pandas, plus visualisations that are immediately usable for decisions.
Various academic projects focused on biomedical systems, programming and CAD — the foundation of my technical approach.
Responsible for identifying and winning new clients. Developing marketing strategies that lead to measurable growth for small businesses.
Helping businesses make better decisions by surfacing hidden patterns in their own data: which customers are truly valuable, where the growth potential sits, where revenue leaks away. Tailored analysis, translated into concrete actions.
Got a project, an internship, or just a good question? Send a message — I'm happy to think along, especially when data is involved.
a.a.farhad2002.aaf@gmail.com