Lokesh M

Results-driven Business Consulting and Data Analytics professional

Talent

ChennaiMember since July 9, 2026

PythonSQLNoSQLJavaScriptMATLABTensorFlowLangChainReact.jsPandasMatplotlibDocusaurusPower BITableauPostgreSQLSQL ServerMicrosoft AzureAWSGCPData AnalysisRisk AssessmentProcess ControlsAnomaly DetectionRetrieval-Augmented Generation (RAG)Machine LearningDeep Learning

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PythonSQLNoSQLJavaScriptMATLAB

About

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.

Experience

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.