Shrinad Patil

Annotated and validated 15,000+ video frames across autonomous systems and computer vision datasets using CVAT, applying bounding boxes, polygons, and keypoint labels to support AI/ML model training pipelines. Achieved 98%+ annotation accuracy by following strict labeling guidelines and QA protocols, reducing rework rates by an estimated 20% through consistent spatial and temporal tagging. Process

Annotated and validated 15,000+ video frames across autonomous systems and computer vision datasets using CVAT, applying bounding boxes, polygons, and keypoint labels to support AI/ML model training pipelines. Achieved 98%+ annotation accuracy by following strict labeling guidelines and QA protocols, reducing rework rates by an estimated 20% through consistent spatial and temporal tagging. Process

As a Data Analyst at IndyaNet, I work on collecting, cleaning, and analyzing business and financial data to generate insights that support decision-making. My role involves preparing dashboards, maintaining data accuracy, and collaborating with teams to optimize operations and drive business growth.

• Conducted data cleaning and validation to enhance data accuracy and integrity across systems.
• Developed and optimized SQL queries, improving data extraction efficiency for reporting purposes.
• Managed MySQL databases, ensuring seamless support for structured data workflows.
• Implemented performance tuning strategies, resulting in a significant increase in database efficiency.

74.50 Percent

Completed Post Graduate Diploma in Big Data Analytics (PG-DBDA) at CDAC Bengaluru, focused on Data Analytics, Data Engineering, and AI/ML. Gained practical skills in Python, SQL, Power BI, Tableau, and Big Data tools like Apache Spark and AWS.
Final project: Developed a Real-Time Human Activity Recognition (HAR) system using Deep Learning and Computer Vision techniques.

Studied AI & ML with focus on Machine Learning, Deep Learning, NLP, and Computer Vision. Gained hands-on experience in Python, SQL, TensorFlow, and OpenCV. Final project: Cyber Secure Hub — real-time vulnerability detection tool with 30+ security checks.