About
Ramya Ramachandran is a dynamic and results-oriented Software Development Manager with extensive expertise in Oracle ERP systems, IT transformation, and enterprise solution architecture. With a strong background in Oracle E-Business Suite (R12.2.10), AI, Robotic Process Automation (RPA), DevOps CI/CD pipelines, and portfolio management, she has led large-scale implementations, upgrades, and system integrations across multiple business units. Currently serving as an Oracle Development Manager at HNI Corporation, she has played a pivotal role in transitioning legacy systems to centralized Oracle ERP, overseeing major projects such as BST2.0, BST3.0, APG Go-Live, Salesforce integration, and R12.2.10 upgrade initiatives. Her leadership extends to managing teams of over 20 professionals, coordinating cross-functional collaborations, and ensuring seamless business-IT alignment. Prior to HNI, she worked at Deloitte Consulting, Oracle Corporation, Zensar Technologies, and Lakshmi Machine Works, where she contributed to Oracle ERP implementations for clients across industries, specializing in supply chain modules, system integrations, SQL performance tuning, and large-scale data migrations. She has demonstrated exceptional problem-solving skills and strategic thinking in optimizing workflows, enhancing user experience, and driving continuous improvement within organizations. A recognized leader, she has received multiple awards, including the MerIT/LiveIT awards for successful ERP implementations and legacy system conversions. Technically proficient in Oracle SOA, OIC, SQL, PL/SQL, Java, Python, R, Microsoft PowerApps, Power BI, UiPath RPA, and various DevOps tools such as Git, Jira, and ServiceNow, she brings a holistic approach to enterprise technology solutions. Passionate about innovation and digital transformation, she actively collaborates with stakeholders to identify opportunities for system enhancements and process efficiencies. Currently pursuing an MBA from the University of Iowa, she holds a Master of Computer Application from IGNOU and a Bachelor of Science in Computer Science from Avinashilingam Deemed University. With a proven track record of managing complex IT portfolios, streamlining business operations, and mentoring high-performing teams, Ramya continues to drive transformative initiatives that align with organizational goals and industry best practices.
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Education
Publication
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November, 2024
Enhancing ERP System Efficiency through Integration of Cloud Technologies
In the rapidly evolving business landscape, organizations increasingly rely on Enterprise Resource Planning (ERP) systems to streamline operations and improve decision-making processes. Howe...
Peer-Reviewed Articles
Deep Learning for Polymer Classification: Automating Categorization of Peptides, Plastics, and Oligosaccharides
Detecting Fake Reviews in E-Commerce: A Deep Learning-Based Review
Harnessing Deep Learning for Precision Cotton Disease Detection: A Comprehensive Review
Face Recognition : Diversified
Blockchain in Cybersecurity: Enhancing Trust and Resilience in the Digital Age
Deep Fakes and Deep Learning: An Overview of Generation Techniques and Detection Approaches
Voice Assistant System with Object Detection Technology for Visually Impaired
Quantum-Enhanced Machine Learning for Real-Time Ad Serving
VIDEO TO VIDEO TRANSLATION USING MBART MODEL
INTEGRATING ARTIFICIAL INTELLIGENCE INTO CYBERCRIME INVESTIGATION: CHALLENGES AND FUTURE DIRECTIONS
Advanced Machine Learning Techniques for Water Quality Prediction and Management: A Comprehensive Review
A Comparative Study of Fuzzy Goal Programming And Chance Constrained Fuzzy Goal Programming
Real-Time Object Detection in Low-Light Environments using YOLOv8: A Case Study with a Custom Dataset
AI Anthropomorphism: Effects on AI-Human and Human-Human Interactions
Predicting Titanic Survivors Using Random Forest Machine Learning Algorithm
Improving Brain Cancer Detection with a CNN-RNN Hybrid Model: A Spatial-Temporal Approach
A Comparative Study of Classification Algorithms for Enhanced Lung Cancer Prediction Using Deep Learning and SOM-Based Microscopic Image Analysis
Advances in Tomato Disease Detection: A Comprehensive Survey of Machine Learning and Deep Learning Approaches for Leaves and Fruits
Detection of Kidney Disease using Machine Learning & Data Science
Review of AI driven Intrusion Detection System on Network based attacks
Leveraging Artificial Intelligence Algorithms for Enhanced Malware Analysis: A Comprehensive Study
Automated Evaluation of Speaker Performance Using Machine Learning: A Multi-Modal Approach to Analyzing Audio and Video Features
A Model-Driven Application for Streamlining Organizational Processes Using Microsoft Power Apps: Workflow Automation and Data Flow Integration
Role in Research Journals
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IEEE - Institute of Electrical and Electronics Engineers
From year 2023 to PresentScholar9 Profile ID
S9-102024-0406202

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