I design and implement custom data processing workflows using Python libraries like Pandas, NumPy, and Matplotlib — ideal for transforming, analyzing, and visualizing structured data at scale.
My service includes:
Data cleaning, filtering, merging, and deduplication
Advanced calculations, statistical models, and matrix operations
Real-time or batch processing via AWS Lambda or cron jobs
Generation of summary reports, graphs, and visualizations (Matplotlib)
Integration with PostgreSQL, Excel/CSV files, APIs, or cloud storage
Optimized memory usage for large datasets
Optional deployment in serverless architecture or Docker environments
Documentation and reproducible scripts for internal use
Ideal for finance, IoT, operations, marketing analytics, or technical teams needing precise, automated, and efficient data workflows.