KALLYANI PATIL

Working in Machine Learning Models Accuracy Improvement such as mm detection, Layoutlmft and Detectron2. Working in Data preprocessing (Data Labelling) and Trained and Deployed Machine Learning Models (VFNet. YOLO, Detectron2, Layoutlmft). Implemented Batch processing for YOLO and VFNet models. Built a Recommendation engine using classification machine learning algorithms to recommend appropriate information related to users. Developed Anomaly detection system using Isolation Forest Algorithm to identify anomalies in documents. Pursuing Research and Development in Machine Learning Algorithms.

Developed and maintained desktop application using C#.net and MS SQL2008. Worked extensively with Data Adapter, Dataset, Data reader as a part of ADO.NET to access and update database. Extensively experience in SQL Database design, Database maintenances, developing T-SQL queries, stored procedures, function and trigger using MS SQL Server 2008. Developed reports using MS SQL Server Reporting Services and Report Definition Language Client-side (RDLC) Reports.

Planned, prepared, and delivered lectures included in computer science university guidelines. Developed and delivered lectures in undergraduate and master’s class. Guided students in using CS technology to support research.