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Hi, I'm Ved Prakash
A passionate Data Scientist/MLE who showcases his works by creating web Applications specializing in data and backend development.
Statistical Modeling
Leveraging advanced Mathematics and Probability to find patterns in noise. From hypothesis testing to complex regression.
Flask Development
Turning ML models into production-ready APIs. Scalable, fast, and built for real-world integration and performance.
Workflow
From Mathematics to Middleware.
I bridge the gap between statistical theory and scalable engineering, transforming complex models into production-ready APIs that deliver actionable intelligence.
Statistical Analysis
The foundation of every model. I use NumPy and Pandas to clean noise and validate hypotheses through rigorous probability testing.
- Probability
- Linear Algebra
Machine Learning
Architecting predictive systems using Scikit-Learn. Focusing on model interpretability and feature engineering for high-accuracy outcomes.
- Random Forests
- Clustering
System Integration
Bringing models to life with Flask. Building RESTful endpoints that allow front-end applications to interact with complex data logic.
- REST APIs
- JSON Middleware
Currently exploring LLM Quantization
Focusing on optimizing large-scale models for edge deployment using Flask and custom C++ kernels.
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