Are you struggling with messy, inconsistent, or "dirty" data?
Raw data is rarely ready for analysis. Whether its missing values, inconsistent formatting, or hidden outliers, I am here to transform your chaotic datasets into clean, actionable insights.
Services I Offer:
- Data Cleaning & Pre-processing: Removing duplicates, handling missing data, and fixing structural errors.
- EDA (Exploratory Data Analysis): Identifying trends, correlations, and outliers.
- Data Standardization: Converting formats to ensure consistency across your entire database.
- Advanced Visualization: Creating clear, professional charts.
- Predictive Modeling: If your data is clean, I can take it a step further and build ML models to forecast your business trends.
The Tech Stack I Use:
- Languages: Python (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TextBlob)
- Databases: SQL
- Tools: Excel, Power BI, Plotly Express.
What you will receive:
- A fully cleaned and formatted dataset (.csv, .xlsx, or .sql).
- A Python script/Jupyter Notebook (if requested) for reproducible results.
- A summary report explaining th the changes made and insights found.
Drop me a message with a sample of your file, and lets discuss your project