B.Tech grad skilled in Python, ML, Git; built real-world ML projects; led ACECE creatives; Passionate about data & AI

Gokulsidhardh S  • Peerlist

• Developed a predictive system combining machine learning and ARIMA models to help farmers and producers
optimize coconut by-product yields and pricing.
• Reduced waste and improved profits through data-driven insights.
• Tools used: Python, Machine Learning, ARIMA

Sustainable Coconut Byproduct Management Using ML

• Developed a machine learning model to predict gene-disease associations using the PharmGKB database, advancing personalized medicine.
• Applied wavelet denoising and KNN imputation for data preprocessing, utilized PCA for dimensionality reduction, and employed clustering and classification algorithms, achieving a classification accuracy of 70.2% and a silhouette score of 0.918 for clustering.
• Tools used: Python, scikit-learn, PCA, Gaussian Mixture Model, Logistic Regression