SANJANA AR

Customer-Facing Expertise :

• Actively managed client expectations by understanding their needs and delivering tailored machine learning solutions.
• Maintained clear communication throughout project lifecycles to ensure client satisfaction and build long-lasting professional relationships.

AI Feature Management :

• Built and refined front-end conversational AI models on the Sprinklr CXM platform to meet client requirements and enhance user experience.
• Oversaw the development and continuous improvement of AI features, such as intents and chatbots, to achieve desired results through collaboration and iterative enhancements.

Project Leadership and Multi-Project Management :

• Directed multiple machine learning projects simultaneously, ensuring adherence to organizational policies, procedures, and deadlines.
• Strategized resource allocation to maintain efficiency across projects while addressing challenges in a dynamic environment.

Cross-Functional Collaboration :

• Worked closely with data scientists, implementation teams, and product teams at different stages of projects to ensure seamless execution and alignment with organizational goals.
• Facilitated effective communication and coordination among teams to resolve bottlenecks and drive project success.

Model Development and Quality Assurance :

• Spearheaded the design, deployment, and testing of machine learning models, guaranteeing their scalability and accuracy.
• Conducted quality assurance reviews for service capabilities and resolved escalated issues, ensuring high standards of deliverables.

Team Management and Mentorship :

• Mentored team members, providing training on machine learning best practices and tools, boosting productivity and skill development.
• Fostered a collaborative environment that encouraged innovation and continuous improvement.

Data Strategy and Analytics :

• Developed efficient processes for tagging, QAing, and preparing datasets tailored for machine learning systems.
• Designed robust training and test datasets to validate AI models, contributing to enhanced performance.

• Assigned datasets to resources for tagging and ensured proper guidelines were followed during the data labeling process.
• Conducted quality assurance (QA) checks on the tagged data to maintain accuracy and adherence to project standards.

• Verified that all intents were populated with sufficient data volumes to build comprehensive training datasets for AI models.
• Worked on resolving issues and implementing fixes to enhance model accuracy and performance.
• Streamlined workflows to improve the efficiency of creating and validating training datasets.

• Collaborated closely with product teams and developers to align dataset requirements with project objectives and ensure seamless execution at all stages.
• Created visually appealing reporting and engagement dashboards using the Sprinklr CXM platform to present insights effectively to stakeholders.
• Analyzed data trends and metrics to provide actionable insights for improved model development and business outcomes.

POC – Intents

• Building datasets for ML models that help to predict and measure the intents behind each conversation.
• Using Sprinklr CRM dashboards to visualize, engage, and extract data across different social media channels.
• Handling projects from training freelance resources to deployment on multiple verticals simultaneously.
• Monitor annotation patterns through data analytics on Excel.

POC – New Brand Analytics

• Analyzing social media trends and generating reports of client's social activities and engagement.
• Helping brands to engage with their social media audience through social listening.
• Increased output by 20% while monitoring quality.

• Comcast – Sales Portal Application :
  Conducted production log analysis, developed performance test strategies, and prepared summary reports for the onsite team.
• SOA Readiness Assessment Tool :
  Designed and developed tools for data addition and editing, including creating architecture documents.
• BANK Administrator Project (Cognizant My Academy) :
  Developed a web application to register customer details as part of an academic project.
• Technical Skillset (Applied During This Role)
  Operating Systems : Windows XP
  Programming Languages/Technologies : Java, J2EE, HTML, JavaScript, JQuery
  Databases : Oracle 10g, Postgres, SQL Server, DB2
  Web/Application Servers : Apache Tomcat, JBOSS, WebLogic
  Development Tools : Eclipse 3.5, LoadRunner, JMeter
  Frameworks : Struts, Hibernate, Spring MVC
  Performance Test Tools : HP LoadRunner (8.x, 9.x, 11.x), JMeter, HP PerformanceCenter 9.5, ALM