UMA SRIKANTH REDDY KODURU

Project – 1) Spark Streaming Application [GitHub Link]

• Technology used :- ( Apache PySpark, Apache Airflow, Kafka, Cassandra, Docker Compose, Git)
• Relevant Coursework: Big data for Business
• Designed and constructed an end-to-end Kafka-based data pipeline using the Apache Airflow scheduler
• Leveraged Spark Structured Streaming to process incoming data in real-time and applied transformations to seamlessly ingest data from an API into a Cassandra Database
• Employed Docker containerization to package and deploy pipeline components

Project – 2) Data Warehouse design and Performance Optimization [GitHub Link]

• Technology used :- ( Apache Spark, Oracle, AWS S3, Tableau)
• Relevant Coursework: Data Warehousing
• Performed EDA and cleaned the data using Apache Spark PySpark
• Designed a Data cube for 7 million records and 28 columns
• Queried the Data warehouse using OLAP operations like ROLLUP, CUBE, LEAD, NTILE etc
• Optimized the data warehouse using Indexing, Partitioning and by creating Materialized Views
• Answered the business question by using Tableau

Project – 3) South St.Petersburg Community Redevelopment Area (CRA) [Confidential]

• Technology used :- ( Pandas, NumPy, Sqlite3, Python, Tableau, Jira)
• Relevant Coursework: Enterprise Information Systems Management
• Exploratory Data Analysis (EDA) on the Properties sold over the corridors for the years 2018-2022 in St
• Petersburg
• Developed Interactive dashboard in Tableau to answer business questions and used JIRA for Monitoring

Project – 4) Bull Credit Web Application [Website Link]

• Technology used :- ( Java Script, Flask, Chart.js, Sqlite3, GIT, HTML, CSS)
• Relevant Coursework: Distributed Information Systems
• Developed a USF credit application prototype with login authentication and directed user information to main application
• Data from the user is stored in a database and Credit charts are made using Chart.js for the users are shown in the application

Project – 5) Starbucks System Design [GitHub Link]

• Technology used :- ( UML)
• Relevant Coursework: Advance System Analysis and Design
• Designed Information system for a Starbucks outlet at University of South Florida
• Done SWOT Analysis and Requirement Engineering
• Developed UML diagrams (Use case, Sequence, Class, Activity, Deployment) for Real Time order tracking and Inventory management
• Recommended Software Methodology (Agile vs Plan driven)

Project – 6) Credit Risk Analysis [GitHub Link]

• Technology used :- ( Python, Azure ML Studio)
• Relevant Coursework: Data Science Programming
• Exploratory Data Analysis and Data Cleaning using Python
• Built Machine learning models (Multiclass Logistic Regression, Decision Forest)
• Classified whether an applicant is risky or not

• Concord Drugs Limited, an emerging pharmaceutical manufacturer had entrusted me with a role to support infrastructure for the pharmaceutical applications
• My work extended into a broad spectrum of DevOps practices and tools that enhanced project efficiency and scalability
• Created Terraform templates for the dynamic generation of load balancers, EC2 instances with auto-scaling, and real-time monitoring across various environments such as Quality Assurance (QA), System Integration Testing (SIT), and staging, resulting in a reduction in manual effort through task automation
• Played a key role in the installation of Jenkins master and build nodes and the configuration of Jenkins builds using Ansible for
• Continuous Integration (CI) and Continuous Delivery (CD)
• Successfully created Continuous Integration pipeline from code commits in Git using Jenkins servers and resolved build and release job issues, collaborating with engineers on solutions
• Automated the build and deployment process by incorporating MAVEN as the build tool in Jenkin
• Executed security scans adhering to industry standards through SonarQube
• Designed customized Ansible playbooks for orchestrating deployments and for automating routine server administration tasks
• Established a private cloud based on Kubernetes to support development, testing, and production environments
• Containerized RESTful services and pushed images to Docker Hub/AWS (ECR) and orchestrated them using AWS EKS
• Carried out the deployment of kubernetes objects using Helm
• Set up Prometheus and Grafana using Helm charts for service monitoring
• Delegated tasks to fellow team members via Jira
• Technology used :- ( Terraform, Jenkins, Ansible, Maven, Kubernetes, AWS, Linux, Docker, Prometheus, Grafana)

• Daikin is a Japanese air conditioning company known for its quality and reliability
• During my tenure at the company, I played a pivotal role in extracting the data from the machines and presenting it to higher management
• Extracted sensor data from Building Management Systems (BMS), transformed it using Python, and stored the results in
• MongoDB
• Coded Siemens Plc modular controllers with chiller use case for development and testing of CPM(Automation) for different types of Industries in Siemens Desigo Xworks software
• Revitalized underperforming product lines by applying strategic negotiation techniques resulting in a 25% surge in new account
• Prospected 30% new leads through cold calling, site visits, and customer referrals
• Identified crucial products, services, and customer segments, leveraging data to formulate creative sales and marketing plans
• Technology used :- ( Python, Mongo DB, Tableau, Advance Excel, Desigo Xworks)