Data Analysis Software Development
Budget: ₹4,000 – ₹45,000 INR
I have a mixed-data set—text fields alongside numerical variables—and I need a streamlined application that turns it into clear insight. The core of the build is twofold: first, robust data visualisation so I can explore trends at a glance; second, predictive modelling that lets me forecast outcomes and surface hidden patterns.
The workflow I have in mind is straightforward: import raw CSV or JSON files, run an automated preprocessing step for basic cleaning, then move straight into interactive charts and model training. A lightweight, intuitive UI (web-based or desktop) is fine as long as it makes these steps accessible without extra scripting on my end.
Key deliverables
• A working application that ingests both text and numeric columns
• Configurable dashboards or chart components for quick visual exploration
• At least one supervised learning pipeline ready for retraining on new data
• Documentation covering setup, data requirements, and how to extend the models
I’m language-agnostic, but Python with libraries like pandas, scikit-learn, Plotly or similar will probably get us there fastest; if you prefer R, that’s fine as well. I value clean, well-commented code and would like version control via Git from day one. Let me know your preferred stack and any questions you have about the data, and we can get started right away.
The workflow I have in mind is straightforward: import raw CSV or JSON files, run an automated preprocessing step for basic cleaning, then move straight into interactive charts and model training. A lightweight, intuitive UI (web-based or desktop) is fine as long as it makes these steps accessible without extra scripting on my end.
Key deliverables
• A working application that ingests both text and numeric columns
• Configurable dashboards or chart components for quick visual exploration
• At least one supervised learning pipeline ready for retraining on new data
• Documentation covering setup, data requirements, and how to extend the models
I’m language-agnostic, but Python with libraries like pandas, scikit-learn, Plotly or similar will probably get us there fastest; if you prefer R, that’s fine as well. I value clean, well-commented code and would like version control via Git from day one. Let me know your preferred stack and any questions you have about the data, and we can get started right away.