I will build ai ml models for chemical process prediction and optimization

Do you want to predict process performance, understand operating variables, or identify optimal operating conditions using AI and machine learning?

I develop data-driven predictive models for chemical engineering, industrial processes, experimental research, and sustainable technologies using Python, statistical analysis, and machine learning.

MY AI/ML SERVICES

1. Process Prediction

• Product yield, conversion, quality, and impurity prediction
• Energy consumption and process performance modeling
• Regression using experimental or simulated data

2. Machine Learning

• Linear and Polynomial Regression
• Random Forest, Gradient Boosting, and XGBoost
• Support Vector Regression
• Model comparison, validation, and interpretation

3. Process Optimization

• Influential variable identification
• Sensitivity and parameter analysis
• Single- and multi-objective optimization
• Recommended operating conditions within constraints

4. Model Evaluation

• Train/test evaluation and cross-validation
• R², MAE, and RMSE metrics
• Prediction plots and residual analysis

DELIVERABLES Python notebooks or scripts, trained models, evaluation metrics, visualizations, feature importance, and optimization reports.