Prerana D P

Machine Learning and Data Science professional with a hands-on experience in Computer Vision, Data Annotation, Data Analytics, and Machine Learning workflows. Experienced in building high-quality datasets, performing exploratory data analysis (EDA), supporting ML pipelines, and collaborating with cross-functional teams to develop AI-driven solutions. Skilled in Python, SQL, Machine Learning, Computer Vision, Power BI, and data preprocessing.

Seeking opportunities as a Machine Learning Engineer, AI Engineer, or Data Scientist.

ML Data Associate L1 at CloudPhysician (2025-01 – Present)

• Contributed to healthcare AI projects: Nephro Plus, Delirium, NICU data, end-to-end machine learning workflows involving dataset preparation, validation, and quality optimization for healthcare AI solutions.
• Supported machine learning model development by managing dataset quality, running model evaluation processes, and identifying opportunities to improve model performance.
• Worked on AI-based patient position detection systems utilizing radar camera data for automated healthcare monitoring.
• Introduced automation enhancements in the CVAT platform that reduced dataset processing time by over 70%, enabling tasks that previously required extensive manual effort to be completed within 3 hours.

Data Science intern at CloudPhysician (2025-01 – 2025-12)

• Performed data cleaning, preprocessing, and transformation.
• Built dashboards for data-driven decision-making.
• Built Power BI dashboards improving reporting efficiency by 15% Collaborated with team members to support data-driven decision-making. Project: Sales & Business Performance Analytics Dashboard.
• Along with dashboard development, I performed exploratory data analysis and trend forecasting to identify sales patterns and support business decisions. The project involved data preprocessing, feature analysis, visualization, and business intelligence reporting.

AI Intern at OptM Media Solutions Pvt Ltd (2025-01 – Present)

• Designed a tamper-proof digital evidence system.
• Integrated Hyperledger Fabric, IPFS, Zero-Knowledge Proofs. Applied AI for forgery detection
• Developed a secure workflow for storing and verifying digital evidence, ensuring data integrity and traceability throughout the evidence lifecycle.

Bachelor of Engineering (B.E.) in Computer Science and Data Science – St. Joseph Engineering College (2022-06 – 2026-06)