Gokkul Eraivan Arutkani Aiyanathan

Dynamic Junior Machine Learning Engineer with a proven ability to enhance predictive models in the agricultural and energy sectors, achieving an R² of 0.948 in climate yield predictions. Demonstrated expertise in Python and data analysis, leading innovative projects that improved decision-making processes through collaborative problem-solving and meticulous attention to detail.

• AWS Cloud Practitioner
• Data Analytics by Google

Credit Risk Prediction, Python, PySpark, 09/01/24, 10/01/24, Built a credit risk prediction model by utilizing Apache Spark, achieved a 30% reduction in prediction processing time., Employed Spark ML frameworks with parameter tuning, increasing prediction accuracy by 5% over previous model iterations. Airbnb Price Prediction, Python, TensorFlow, 02/01/24, 05/01/24, Engineered an advanced predictive algorithm for Airbnb pricing; strengthened overall forecasting pricing by 12%., Executed thorough data cleaning and pre-processing on a dataset of 500,000 listings; logged an R² score of 0.85 (XGBoost). Heart Disease Prediction, Python, Random Forest, 08/01/23, 11/01/23, Created an effective machine learning framework that evaluates the likelihood of heart disease using data of over 1.3M patients., Reduced false negative rates by 17%, improving early detection of heart disease in high-risk patients.