I will do university data science projects with source code and report

I will convert your raw data into reliable predictions and clear, actionable insights using Python and proven ML techniques.

What I deliver

Data cleaning & preprocessing (missing values, outliers, type fixes)  

Exploratory Data Analysis (summary stats + visualizations)  

Feature engineering & selection  

Build, evaluate and compare ML models (regression, classification, or forecasting)  

Reproducible Jupyter Notebook / Python scripts + well-commented code  

PDF report summarizing methods, metrics, business recommendations

Why choose me

Clear, actionable reports you can present to stakeholders  

Reproducible code (Jupyter notebook or .py) so you can rerun or extend the work  

Practical business focus I explain what the metrics mean for your use case  

Fast responses and friendly, non-technical explanations on request

What I need from you

Dataset (CSV ,excel or any other structured form)