Raja M.

Raja M. is a results-driven Data Analyst with experience spanning data science, artificial intelligence, networking, and cloud computing. At Boston Institute Of Analytics, Raja contributed to the astronomical data industry by processing deep space datasets and leveraging Machine Learning—notably Random Forest and SVM algorithms—to improve stellar object classification. As an AI/Machine Learning intern, Raja improved model accuracy through advanced feature selection and tuning. During an internship at SachTech Solution Pvt. Ltd., Raja focused on deploying virtual networks using AWS EC2 and Cisco Packet Tracer, implementing routing and load balancing strategies that substantially increased network stability. Raja's projects include predictive modeling in the biomedical domain, specifically blood pressure prediction from PPG signals, applying Python and XGBoost Regression for enhanced measurement precision. He is certified in Data Science & Generative AI and skilled in Data Analysis, visualization, and cloud tools.