Amin T.

I turn financial, economic, and business data into models and insights you can act on. I hold a PhD in Business Economics from KU Leuven and two master's degrees, in Data Science (with a banking minor) and Financial Engineering. Over the past decade I've worked across academic research, corporate analytics, and freelance consulting. Most recently I built Parsifex, an analytics platform that converts unstructured risk disclosures from 15,000+ U.S. public-company filings into structured, decision-ready data — end to end, from extraction pipeline through NLP classification and topic modelling to deployment. What I can help you with: - Financial and business data analysis — modelling, forecasting, performance measurement, statistical testing, econometric analysis - Machine learning — classification, regression, clustering, model validation, feature engineering - NLP and text analytics — extracting structured signals from reports, filings, reviews, and other unstructured text; topic modelling, sentiment and classification - Data pipelines and processing — cleaning, transforming, and structuring large or messy datasets - Dashboards and reporting — Excel dashboards and Power BI reports for ongoing monitoring - Research support — study design, empirical methodology, results interpretation, and write-up Tools: Python (pandas, NumPy, statsmodels, SciPy, scikit-learn, TensorFlow, spaCy, NLTK, matplotlib, seaborn, plotly), SQL, Stata, Excel, Power BI What clients tend to value most in my work is rigour plus clarity: I build and validate models properly, then explain what the results actually mean for the decision at hand — not just the output. I ask questions upfront rather than guessing at requirements, and I flag issues in the data or the approach as soon as I see them. Happy to discuss your project — send me a message with what you're working on and I'll tell you honestly whether I'm the right fit.