SUVATHI VASUDEVAN

The project involved designing and deploying an intelligent chatbot to automate and enhance customer support for internal use. The chatbot was integrated with the organization's CRM system to provide instant responses, resolve common queries, and escalate complex issues to human agents. By leveraging Natural Language Processing (NLP) and Machine Learning (ML), the chatbot could understand user intent, process contextual information, and deliver accurate and timely responses.

• Designed and deployed an intelligent chatbot using Dialogflow and Python.
• Integrated with company CRM to provide real-time support to customers.
• Automated responses to frequently asked questions and queries.
• Deployed on Microsoft Teams for internal use.

Designed and developed robust APIs using Django REST Framework for the Customer Preference Centre, enabling Spark consumers to store and manage their communication preferences effectively. The project supported large-scale customer data management, with specialized APIs for bulk updates tailored to corporate customers. The Customer Preference Centre is one which stores all customer preferences, indicating their preferred modes of communication with Spark.

• Developed APIs for bulk update functions to handle large-scale data modifications for corporate customers
• Utilized PostgreSQL databases and experienced in CI/CD pipelines for automatic code deployment.
• Created test cases for the developed REST APIs
• Contributed to the DevOps team with knowledge of incident management
• Created an interactive dashboard using Python to monitor and visualize user activities
• MongoDB and Python packages such as Pandas Data Frame used for visualization of data's in the dashboard
• Experienced with Azure DevOps (ADO) Boards

This is a project with an E-Commerce client. We implemented a robust analytics dashboard to enhance their business insights, track performance metrics, and drive data-informed decision-making. The project focused on leveraging Azure Data Factory (ADF) for orchestrating data workflows and delivering a comprehensive dashboard that provides a holistic view of key business metrics.

• Design and implement an analytics dashboard to provide real-time insights into their business.
• Track essential metrics such as profit, loss, turnover ratio, and other relevant KPIs critical to their operations.
• Utilize Azure Data Factory to orchestrate end-to-end data workflows efficiently.
• Ingest data from diverse sources including sales transactions, inventory records, and customer interactions.
• Configure automated data refresh schedules to ensure the dashboard reflects the most recent data.
• Implement scheduling within Azure Data Factory to orchestrate data pipelines efficiently.
• Ensured regular and consistent monitoring of job orchestrations.

I worked on a project involving the development of an application using the CISCO NSO Tool, aimed at automating the configuration of various types of network devices.

• Developed API's to automate configurations for different network devices efficiently.
• Involved in generating JSON inputs based on the YANG model to define the required configuration parameters.
• Developed a python scripts to fetch the generated XML files and apply the input .This process produced the final configuration files, which were then pushed to devices to automate their setup.
• Developed a Regression scripts to automate testing, ensuring the accuracy and reliability of the configurations.
• Jenkins pipelines were implemented to automate the execution of scripts, with code pushed to the Git branch at fixed intervals.
• Developed Health check APIs to monitor the status of devices before configuration changes, ensuring device readiness and preventing time wastage due to potential device issues.

• Conducted a comprehensive analysis and designed solutions to migrate and automate workflows from the BSM Tool to the AppPulse Tool.
• Bridged AppPulse with ServiceNow using Python application development.
• Delivered highly customisable report generation capabilities.
• Developed automated issue-fixing mechanisms to address recurring problems efficiently.
• Implemented data backup solutions to ensure continuity during database issues.
• Designed a REST API token auto-renewal mechanism to maintain seamless integration.
• Developed a robust activity logging system for complete traceability and monitoring of operations.