Mohamed Tharik

I am a dedicated final year Bachelor of Technology student specializing in Artificial Intelligence and Data Science, with a strong foundation in machine learning, data analysis, and predictive modeling. I possess hands on experience in implementing and optimizing advanced algorithms including XGBoost,LightGBM,CatBoost, and Random Forest,demonstrated through academic projects and practical applications such as PNR prediction and facial emotion recognition. Proficient in Python programming and data preprocessing techniques,I focus on delivering robust, scalable models optimized for accuracy and performance metrics such as ROC AUC.My approach integrates rigorous exploratory data analysis, feature engineering, and model evaluation to solve real world problems effectively. Eager to leverage my technical expertise to contribute to freelance projects requiring analytical precision and algorithmic innovation,I maintain a commitment to continuous learning and adapting to emerging AI methodology