I will do statistical modeling, ml, and data science in python
Data Analyst, Math Tutor, Python, Statistics, Bayesian ML, NYU Math Grad
About this Gig
I build statistical models and machine learning solutions grounded in rigorous mathematics.
Background: M.S. Mathematics from NYU Courant Institute, specializing in probability, optimization, and numerical methods.
What I deliver:
- Exploratory data analysis with clear visualizations and statistical summaries
- Custom ML models (classification, regression, clustering, Bayesian inference)
- Monte Carlo simulations and probabilistic modeling
- Clean, documented Python code (Jupyter notebooks or scripts)
Tools: Python, NumPy, Pandas, scikit-learn, PyTorch, JAX, Matplotlib
How it works: Message me with your dataset and problem description. Ill assess scope and confirm the right package before you order.
All deliverables include source code and a written explanation of methodology and results.
Programming language:
Python
•
R
•
MATLAB
•
SQL
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
My Portfolio
FAQ
What data formats do you work with?
CSV, Excel, JSON, SQL databases, and most structured data formats. If your data is in another format, message me and I’ll confirm.
Do you provide the source code?
Yes. All packages include documented Jupyter notebooks or Python scripts.
What if my project doesn’t fit a package?
Message me before ordering. I’ll assess your project scope and send a custom offer with the right price and timeline.
Can you help with academic/research projects?
Yes. I have experience with statistical modeling, Monte Carlo methods, and Bayesian inference in research contexts. I deliver work with clear methodology documentation.
What do you need from me to get started?
Your dataset (or access to it), a description of the problem you’re trying to solve, and any specific requirements for the output format.

