Siva Sankar Patamata

Enthusiastic and detail-oriented IT graduate with a keen interest in automating business processes using Power Automate and developing custom applications with Power Apps. Proficient in designing, implementing, and optimizing automated workflows, and creating intuitive, user-friendly applications to solve complex business challenges. Seeking an entry-level position to apply skills in Power Platform solutions and contribute to organizational efficiency and innovation.

Project Title: Classification of Polyps in Endoscopic Images Using Self Supervised Structured Learning

October 2023 – April 2024

Description:

• The objective of this project is to develop a system for automatically classifying polyps in endoscopic images. Endoscopic images are commonly used in medical diagnostics, particularly in the detection of gastrointestinal disorders such as colorectal cancer. Polyps are abnormal growths in the colon or rectum that can potentially develop into cancer.
• · Gastro-Intestinal Tract cancer is considered a fatal malignant condition of the organs in the GI tract including the stomach intestines pancreas rectum and anus with a relative survival rate of %. It is estimated that million people worldwide were diagnosed with this kind of malignancy in.

Proposed System:

• · The proposed approach convolutional neural network consists of a stack of three main neural layers: convolutional layer pooling layer and fully connected layer. The Deep Context Metric Learning Neural network is a deep learning convolutional network that create segmentation masks from an input image. It consists of an encoder part that converts n -channel image to a dense encoding and a decoder part that converts the dense encoding back to the n -channel output.

Project Title: Insurance Claims Processing Automation

October 2023 – April 2024

Description:

Contributed to the development and implementation of an insurance claims processing system utilizing PowerApps and Power Automate. Played a key role in designing and building user interfaces and automating workflows to optimize the claims processing workflow.

We used canvas apps , model driven apps

Roles and Responsibilities:

1. Application Development:

- Utilized Model driven Apps to design and develop user-friendly interfaces for the insurance claims processing system, focusing on usability and efficiency.

- Implemented custom business logic and data validation rules within model driven apps to ensure accurate data entry and processing.

2. Workflow Automation:

- Designed and implemented automated workflows using Power Automate to streamline the claims processing pipeline.

- Configured triggers and actions to automate repetitive tasks such as claim submission, validation, and approval processes.

- Collaborated with stakeholders to identify opportunities for process optimization and automation.

Used Inbuilt charts to show the data.

3. Testing and Debugging:

- Conducted unit testing to ensure the reliability and functionality of custom PowerApps components and Power Automate flows.

- Troubleshooted and resolved issues identified during testing phases, ensuring a smooth and error-free user experience.

- Worked closely with quality assurance teams to address bugs.

• Done two NPTEL certifications on “The Joy of Computing with Python” with Elite grade, and “Cloud Computing” with Elite grade.
• Done another two certifications on "Data Science for Engineers" and "Introduction to Industrial 4.0 and Industrial Internet of Things" with Elite grade.
• Certified by Microsoft – Dynamics 365 Fundamentals (CRM)
• Paper Publication Certificate on “Detection Of Face Mask During Covid-19 Pandemic Using Machine Learning” by IJISRT.
• Done Udemy certifications on java, python and sql.
• https://ijisrt.com/detection-of-face-mask-during-covid19-pandemic-using-machine-learning