I will clean and analyze your trading or financial data in python

Struggling with messy data or need clear insights from your numbers?

I'm a finance student with hands-on experience cleaning, analyzing, and 

visualizing data using Python. I specialize in turning raw, inconsistent 

datasets (CSV, Excel) into clear, actionable insights whether it's 

financial data, trading records, survey results, or general business data.

What I can help with:

Cleaning messy or inconsistent datasets

Calculating key metrics and statistics

Building clear visualizations (charts, trends, comparisons)

Writing reusable Python scripts (pandas, matplotlib)

Excel-based analysis and reporting

Recent project: I analyzed 250+ real trades from a trading journal, 

cleaning inconsistent data formats and calculating performance metrics 

like win rate and drawdown. You can see the full code and results on 

my GitHub: github.com/momojfr/XUTrading

Why work with me:

Detail-oriented I catch data inconsistencies others miss

Clear communication, responsive and reliable

Comfortable with real-world "messy" data, not just clean textbook examples

Send me a message with your data and what you're looking for, and I'll 

let you know how I can help often within a few hours.