Nikhita Kalburgikar, CSPO®, CSM®

• Spearheaded the development of an AI-powered student engagement dashboard, resulting in a 25% increase in course participation and interaction by leading cross-functional teams in designing, prototyping, and deploying machine learning models. • Streamlined resource allocation for university labs, driving a 30% reduction in scheduling conflicts, by implementing predictive analytics models integrated with UTA’s scheduling system. • Elevated student advising efficiency, achieving a 40% reduction in average advising wait times, by building and deploying an AI chatbot to manage FAQs and appointment scheduling.

• Delivered production-ready ML workflows on Databricks environments, as measured by improved scalability and cross-team adoption, by collaborating with data scientists, engineers, and stakeholders to align product vision with technical execution. • Accelerated model deployment cycles by 30% and reduced manual effort by 80%, as measured by faster release efficiency, by driving CI/CD pipeline automation with AWS CodePipeline and YAML workflows to streamline product delivery. • Enhanced business decision-making with real-time anomaly detection, as measured by a 40% reduction in debugging time, by integrating Prometheus and Grafana dashboards that provided proactive monitoring and actionable insights for stakeholders.

Integrated Bank Modernization Digital Banking Application with third-party services like Uniken by launching REL-ID server implementation. Automated End-to-End Digital Banking Application deployments using Jenkins and GitHub actions. Automated and tightened Security and Network Firewall Settings in the Digital Banking application. Deployed Demo Environment Infrastructure in AWS Cloud by automating all manual actions using several DevOps tools.

Currently working on a FinTech based Open Banking Platform - Building Platea Banking Modernization by launch of digital banking propositions which improves customer experience. Innovative platform with end-to-end value proposition for the open banking era. I have successfully deployed Dev local Environment for Developers in AWS Cloud by deploying AWS VPC, DEV-Instances, DEV-VPN, DEV-Profiles to users by using IaC terraform scripts and code. The Platform has mainly 4 layers/components with 3 EKS Clusters & 3 VPC's. I have deployed complete architecture and infrastructure component wise on AWS Cloud automated using terragrunt & terraform code. Deployed more than 25 Functional domains for example: banks, accounts, documents etc., in domains-base, domains-devops, domains-transaction-manager. I have deployed 200+ Code Commit repos, 200+ Code Pipelines which are triggered successfully for master(releases-pipelines) and dev(snapshot-pipelines) branches in our environment. I have deployed the containerized application on AWS Cloud with 3 microservices namely command, query and projection for OBP and ApiHub with third party integrations with Mambu, Uniken, BigContent etc with Kubernetes Dashboard for OBP and ApiHub to monitor the status of pods and application running. Third cluster observability was deployed for monitoring tools like Prometheus, Grafana, Istio, Jaeger and Logstash of our application. I have deployed infrastructure modules like Kong, Managed Apache Kafka, Istio Service Mesh, EKS, Network, Bastion, DynamoDB, Vault, SES, Helm, SNS, Shared-Secret etc in each of the 3 layers. Deployed the fourth layer - Data Layer which creates users for Quick sight and Sage maker Machine Learning model and analytics reports of our application. I have written IaC scripts and deployed IaC based automation for AWS VPN setup in our environment.

Deployed Weather Forecasting Containerized Applications - dotnet-app & java-spring-app hosted on AWS Cloud using AWS Developer tools like Code Commit, Code Pipeline, Code Build, CloudFormation, Code Artifacts, Service Catalog, EKS, S3, IAM, ACM, Cognito, API Gateway, ECS, Fargate, Secrets Manager Route53. Deployed a fast and secured platform with automation on top of Jenkins & AWS Control Tower and Security Hub to activate and enforce security practices and flexibility for continuous iteration through code using AWS Services like SSO, Organizations, Control Tower, CloudTrail, Security Hub, Lambda, Guard Duty, CloudWatch, SNS, Config, VPC, Service Catalog, Code Commit, Code Pipeline, S3, Step Functions, SQS, Event Bridge. Successfully achieved the profitable growth to our organization by optimizing AWS Costs of our internal AWS Lab Environments, ensuring they are secure and optimizing spend to save ~65% in monthly costs by using AWS Cost Management tools like AWS Billing Dashboards & Cost Explorer. Implemented Cloud Custodian Policies automation code for cost optimization and cloud security monitoring tool for AWS resources. Worked with Solution Architects & contributed to achievement of our application & organization to get the AWS Networking Competency as a AWS Partner Competencies for NTT DATA Services.

Skills : AWS Cloud Services - (EC2, EKS, ECR, S3, CloudFormation, CloudFront, IAM, Route53, RDS, Auto-Scaling groups, Elastic Load Balancer(Application, Network, Classic), Lambda, Elastic Beanstalk, Redshift, DynamoDB, Elastic File System, Virtual Private Cloud, Elastic Block Store, SNS, SQS) Terraform, Ansible, Linux Shell Scripting, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, Docker Swarm, Python, Java, Git, Ubuntu.

Microsoft AEP In Association with E-Cell, IIT Kharagpur • Pioneered development of an AI-driven predictive analytics prototype, as measured by a 35% boost in forecasting accuracy, by translating stakeholder requirements into ML models and aligning outcomes with project goals. • Orchestrated automation of data preprocessing and pipeline workflows, as measured by a 25% reduction in project delivery timelines, by streamlining model training and proof-of-concept deployment. • Enabled data-driven decision-making for academic and business stakeholders, as measured by a 20% increase in actionable insight adoption, by designing interactive dashboards that simplified complex datasets into intuitive visualizations.

• Led development of an NLP-based chatbot, as measured by a 40% reduction in customer support response time, by collaborating with engineers and business teams to design conversational flows and deploy ML models. • Piloted recommendation system enhancements, as measured by a 25% increase in user engagement and 15% boost in feature adoption, by analyzing customer behavior data and aligning product features with user needs. • Directed delivery of predictive analytics dashboards, as measured by a 30% faster reporting cycle for clients, by translating stakeholder requirements into actionable visual insights that guided product decisions.

Courseworks: Fall 2023 1. Python Programming 2. Data Warehousing 3. BSTAT Spring 2024 1. Data Mining 2. Cloud Computing 3. Project Management Summer 2024 1. Summer Internship 2. Teams and Leadership Fall 2024 1. Data Science 2. Web and Social 3. Management Information Systems