Have a dataset but not sure what to do with it? I'll run a full analysis, surface the patterns hiding in your data, and — if needed — build a machine learning model that predicts outcomes with measurable accuracy.
I don't just run code. I tell you what the results mean for your business.
What I deliver:
- Exploratory Data Analysis (EDA): distributions, correlations, outliers
- Data cleaning and feature engineering
- Visualization: charts, heatmaps, pairplots, trend lines
- ML models: regression, classification, clustering (Scikit-learn)
- Model evaluation: accuracy, R², confusion matrix, cross-validation
- Streamlit deployment for interactive web app (Premium)
- Clean Jupyter Notebook with comments throughout
Proven results: Built a Random Forest motor speed prediction model achieving R² = 0.9998. Deployed live as a Streamlit web application.
Tools: Python, Pandas, Scikit-learn, Matplotlib, Seaborn, Plotly, Streamlit
Who this is for: Researchers, startups, and businesses sitting on data they haven't analyzed — or analysts who need ML support they don't have in-house.
Deliverable: Jupyter Notebook (.ipynb) with all code, charts, and a written summary of findings. Optional: Streamlit app deployment.
Share your dataset or describe your problem — I'll tell you exactly what's possible before you pay anything.