
I'm an Information Science and Engineering graduate with hands-on expertise in Python, SQL, and AI/ML. With practical knowledge in data pipelines, predictive modeling, and system optimization, I focus on building robust, scalable systems that turn data into direct business impact.
During my internship at Spinnaker Analytics, I developed end-to-end machine learning pipelines, ran complex exploratory analyses, and optimized model classification performance. From building low-latency REST APIs for fraud scoring to creating voice-activated assistant systems (JARVIS) with contextual memory, I'm passionate about building intelligent engineering solutions.
A full-stack web application connecting citizens with government services in Nepal. Featuring complaint registration, department routing, and real-time communication via WebSockets to enhance public transparency and efficiency.
An AI-powered voice assistant operating system capable of voice interaction, intelligent query resolution, task automation, memory management, and execution of OS-level commands.
An intelligent financial security system that leverages machine learning to identify suspicious financial transactions in real-time. Employs advanced techniques to handle highly imbalanced datasets.
A predictive analytics project utilizing machine learning models to identify employee turnover risk, helping HR teams implement proactive retention strategies through data-driven insight visualization.
A regression modeling project predicting annual solar energy production. Utilizes geographical variables, weather attributes, and installation parameters to optimize clean energy forecasting.
Have a project in mind or want to collaborate? I'd love to hear from you. Send me a message and I'll get back to you as soon as possible.