Vinod Awati

I’m a final-year Artificial Intelligence and Data Science graduate with a strong foundation in Python and SQL, built for structured data processing and reliable content operations. I bring hands-on experience in content onboarding, web research, and automated ingestion workflows, with an emphasis on data validation, QA/QC, and clear documentation.

In my role as an Assistant Engineer at INDO-MIM Pvt. Ltd., I analyzed 50,000+ production and quality records to identify defect trends and drive data-driven process improvements. I delivered measurable impact—cutting rejection rates by 12%, reducing operational downtime by 15% through continuous performance monitoring and anomaly detection, and maintaining production-ready logs and quality reports to keep stakeholders aligned.

I also built and optimized content ingestion systems that turn unstructured information into clean, structured datasets. In my CareerPilot AI project, I designed a content ingestion platform aggregating 500+ job listings, with automated scraping workflows and a structured pipeline to discover, extract, normalize, and tag content (skills, roles, industries). I reduced manual content processing errors by 30% using automated input validation, structured exception handling, and data integrity enforcement across CRUD operations.

Beyond content operations, I’ve applied end-to-end machine learning discipline to real-time use cases—like my Sign Language Detection System—where I achieved 90% classification accuracy using OpenCV and scikit-learn. I’m motivated by scalable, quality-first workflows, proactive troubleshooting, and cross-functional collaboration, and I’m seeking a Content Analyst role to contribute to high-quality data delivery at AlphaSense.