Rithika Senthilkumar

MBA candidate in Business Administration with a technical and analytical foundation in Python, SQL, and Power BI, seeking to apply data-driven reporting and workforce analytics as an HR Data & People Analytics Associate. Demonstrated technical proficiency building information systems and management systems for employee services and workforce data, including an employee attendance automation system and interactive reporting dashboards, with working knowledge of HRIS/ERP platforms such as Workday, SAP, and Oracle. Strong attention to detail, data integrity, and audit discipline, with a growing interest in HR service delivery, organizational charts and position management, payroll processing, benefits administration, and HR strategy through data.

Comfortable working across cross-functional teams to translate raw operational data into clear, actionable reports that support organizational goals, process design, employee data management, and evidence-based decision-making for HR and business leadership.

Software Engineer at VLabs and Solution (2024-08 – 2025-12)

• Developed an AI-powered Face Recognition Attendance System using Python and computer vision to automate employee attendance tracking and support workforce performance monitoring, replacing manual sign-in processes and improving operational efficiency.
• Engineered a real-time technical system for face detection using YOLOv12s-Face and generated 512-dimensional facial embeddings via ArcFace, demonstrating technical execution and technical proficiency in production-grade identity verification.
• Applied cosine similarity matching to automate attendance logging while maintaining data integrity, reducing manual data entry and administrative overhead across workforce tracking operations.
• Took initiative leading cross-functional collaboration with stakeholders and internal clients to test, audit, and refine recognition accuracy, ensuring a responsible and reliable deployment in a live operations environment.
• Built supporting data pipelines, reports, and interactive dashboards (Flask, MySQL, Pandas), creating visualizations directly transferable to organizing and interpreting workforce data for HR reporting and decision-making.
• Maintained accurate records and documentation throughout the system's development lifecycle, supporting long-term data integrity, security, and audit readiness for workforce information systems.

MBA in Business Administration – SRM Institute of Science and Technology (2025)

B.Tech in Artificial Intelligence and Data Science – Anna University (2020 – 2024)