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I will build data science models for financial analysis
Data Science Engineer: Finance, Stats and Teaching
Experienced Data Science Engineer with a robust background in statistics and finance. I excel in financial data analysis, predictive modeling, and project management, delivering actionable insights to...
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Are you looking to leverage your financial data to make smarter business decisions?
I will build data science and machine learning models tailored to the finance sector, helping you extract actionable insights from your data.
What I can build for you:
- Credit risk scoring models
- Customer churn prediction
- Propensity & appetite scoring
- A/B testing & statistical analysis
- Anomaly detection in financial data
- Predictive models for business forecasting
What you will get:
- Clean, preprocessed data ready for modeling
- A fully trained and evaluated ML model
- Performance metrics & insights report
- Source code (Python/R)
Why work with me:
- Strong background in data science & statistics
- Experience with real financial datasets
- Clear communication and on-time delivery
Let's turn your financial data into a competitive advantage!
Programmiersprache:
Python
•
R
•
SQL
Frameworks:
scikit-learn
•
DeepPy
•
keras
•
PyTorch
•
Panda
Tools:
Jupyter-Notizbuch
•
tensorflow
•
Excel
•
Stata
•
Colab
•
RStudio
Mein Portfolio
FAQ
What data do I need to provide?
You need to share your raw dataset (Excel, CSV, or any format). The more data, the better the model performance
What if I don't have clean data?
No problem data preprocessing is included in Standard and Premium packages, or available as an extra.
What format will the deliverable be in?
You will receive a Jupyter Notebook or Python/R script with full source code, plus a report summarizing results and insights.
Can you work with confidential financial data?
Yes, your data stays strictly confidential and is used only for the purpose of this project.
