Subramanya Y A Email & Phone Number

Mysuru, Ka, In

India

Successfully enhanced diagnostic processes through the Lab Recommender System, improving efficiency and accuracy.Optimized the Sentence Pair Clustering system, reducing computation load and enhancing suggestion relevance.Key Skills Acquired:Key Skills:Recommendation Systems | Data Procurement | Rigorous Data Cleaning | Tree-based Modeling | Natural Language Processing (NLP) | BERT Transformers | Dimensionality Reduction | Unsupervised Clustering

Bengaluru, Karnataka, India

Predictive Maintenance:- Developed a predictive model to reduce machine breakdowns to minimizing downtime. Leveraged Gaussian mixture model to identify the slow machine degradation and raise alarm for anomalous behavior.- Designed and maintained end to end ML data pipelines on Azure, leveraging Databricks and Spark for improved data flows.- Implemented a proactive monitoring system, utilizing notebooks to check machine status and trigger alarms for anomalies.- Developed a robust training and re-training process, ensuring model accuracy in response to data variations.- Facilitated brainstorming sessions with on-site engineers, enhancing understanding of machine behavior.- Expanded the ML solution to multiple plants across Europe, successfully implementing in five plants.Document Intelligence, Orchestration, Text Extraction & Refining: - Designed and implemented a robust data pipeline for classifying and identifying fields in diverse insurance documents.- Utilized Azure Form Recognizer for efficient data extraction and Google Tesseract for optical character recognition in scanned documents.- Developed and deployed a Support Vector Machine (SVM) classification algorithm to categorize various types of insurance documents.- Engineered a user-friendly Flask application to facilitate document input and integration with the classification solution.- Successfully processed and analyzed thousands of documents, leveraging the IBM Discovery tool for queries and data extraction.- Actively engaged with clients, ensuring a deep understanding of requirements and incorporating feedback to continuously enhance the solution.