Arika R.

I specialize in building AI and machine learning applications that turn raw data into results you can actually use. With strong Python skills, I handle everything from data cleaning and exploratory analysis to predictive models for classification, regression, and forecasting. I also specialize in explainable AI (SHAP, Grad-CAM), so I can show exactly why a model makes the predictions it does, not just deliver a black box. I've built and deployed several live applications on my own, including a churn prediction dashboard that flagged over $171,000/month in at-risk revenue, and a plant disease detection app used to identify 14 disease types from photos. My work includes interactive dashboards and deployed apps using Streamlit, backed by REST API integration for real-world use. I communicate clearly, give realistic timelines, and I'm happy to start with a smaller task so we can find out if we're a good fit before something bigger. I prioritize clarity in communication, ensuring clients grasp the reasoning behind model predictions through explainability techniques like SHAP and Grad-CAM. I am committed to delivering fully functional systems that drive value rather than mere prototypes. If you're looking for an AI engineer who can translate complex data into meaningful outcomes, let's connect and discuss how I can contribute to your project.