Lokesh M

Results-driven Business Consulting and Data Analytics professional with a B.Tech. in Artificial Intelligence and Data Science and hands-on experience in data analysis, risk management frameworks, and process controls. Proficient in Python, SQL, and Power BI, with demonstrated ability to leverage data analysis to support decision-making and risk mitigation strategies. Delivered an AI-powered eye disease detection system achieving real-time diagnostic accuracy, and designed cross-functional dashboards that transformed raw data into actionable business insights for enterprise clients.

Data Science Intern at Centre for Development and Advanced Computing (2025-07 – Present)

• Conducted research on AI ethics in healthcare, evaluating fairness, transparency, and governance frameworks to support compliance and internal controls for enterprise-scale systems.
• Developed anomaly detection models for cybersecurity using High-Performance Computing (HPC), identifying and mitigating technology risks across neuromorphic computing environments.
• Analyzed structured and unstructured datasets to assess the effectiveness of existing controls, producing risk assessment reports that informed decision-making for cross-functional teams.
• Collaborated with cross-functional teams across research and engineering to enhance process efficiencies, delivering risk mitigation strategies aligned with organizational objectives.
• Implemented AI-driven approaches for intelligent and secure systems, reducing manual audit effort by an estimated 30% through automated anomaly flagging and compliance monitoring.

Web Development Intern at Lyre Softronic Technologies (2025-06 – 2025-07)

• Developed and deployed a production documentation website using React.js and Docusaurus, streamlining client communication for GSTBillBooks and reducing support queries by approximately 25%.
• Built a Retrieval-Augmented Generation (RAG) chatbot integrated into the documentation platform, enabling intelligent query handling and improving client support response efficiency by 40%.
• Designed and implemented conversational AI capabilities that enhanced user experience across 3 client-facing product lines, supporting data-driven client engagement and process improvement.

B.Tech. in Artificial Intelligence and Data Science – S.A. Engineering College, Anna University (2022 – 2026)