I’m Peter Eniola, a data scientist specializing in data cleaning, preprocessing, machine learning, and analytical modeling. I work with any type of dataset, including business data, scientific datasets, environmental data, agricultural trials, sensor logs, time-series data, and general tabular data.
I use Python, R, Pandas, NumPy, scikit-learn, Jupyter Notebook, and visualization tools to transform raw data into clear, usable insights.
• Data cleaning, preprocessing, and formatting
• Machine learning models: classification & regression
• Predictive modeling and forecasting
• Feature engineering & statistical analysis
• Time-series analysis
• Data visualization and reports
• Reproducible Python or R scripts
I focus on delivering accurate, well-structured, and actionable results with fast turnaround and clear communication. Whether you need cleaned data, strong ML models, or meaningful insights from complex datasets--I’m here to help.
Let’s turn your data into decisions.