Experienced Data Analyst skilled in SQL and aircraft data analysis, with expertise in machine learning and predictive analysis for operational efficiency.
Material Synthesis using ML Python I Jupyter Notebook
Objective: Utilize Linear Regression for predictive analysis to optimize machining processes by predicting Signal-to-Noise Ratio (S/ N Ratio) based on Mean Material Removal Rate (Mean MRR).
• Implemented Linear Regression for predictive analysis.
• Utilized Python libraries for data processing and visualization.
• Conducted feature engineering and model training.
• Achieved high accuracy in predicting target variable.
• Contributed to data-driven decision-making processes.