Akhila Penukonda
Computer Science, MS
I am a Master's student in Computer and Information Sciences at George Mason University, with a passion for transforming complex challenges into elegant solutions. My work spans across software development, data engineering, and cloud technologies, with expertise in building scalable applications and implementing data-driven solutions.
Technical Skills
Languages
PythonCJavaJavaScript
Front-End and Frameworks
HTMLCSSJavaScriptReactJSAngularTypeScriptSpringBoot FrameworkNode.jsJSON
Back-End and Databases
MongoDBJDBCNodeJSSQLFlaskDjangoRESTful APINoSQLRDBMSCassandraETL
DevOps and Cloud
DockerKubernetesJenkinsCI/CD PipelinesAmazon Web Service (AWS)Google Cloud Platform (GCP)
Data Science and Analytics
TableauNumpyMS ExcelPower BITensorFlowMatplotlibPandasScikit-learnPyTorch
Other Tools
Git
Professional Experience
Junior Data Engineer Intern
Quadrant Technologies
Sep 2024 – Dec 2024
- Designed and implemented ETL workflows using PySpark and SQL, preprocessing large datasets for AWS and Azure cloud platforms.
- Built, deployed, and optimized machine learning models using TensorFlow and PyTorch, integrating models with Docker.
- Developed dynamic dashboards and business intelligence reports using Power BI.
- Collaborated with cross-functional teams to translate business requirements into scalable cloud solutions.
Teaching Assistant
George Mason University
Sep 2023 – May 2024
- Designed and delivered SQL assignments focusing on query optimization and performance tuning.
- Mentored students in deploying applications using Git, CI/CD pipelines, and cloud environments.
- Guided students in understanding data analysis and AI modeling concepts.
Software Data Engineer
Hippo Cloud Technologies
July 2021 – July 2022
- Developed and maintained scalable data pipelines using Python and SQL.
- Created web solutions with React and integrated RESTful APIs.
- Designed ETL workflows and implemented accessibility standards.
Back-End Developer Intern
Dhyanahitha Organisation
Apr 2021 – June 2021
- Engineered a responsive web app using React and Node.js with MongoDB.
- Automated testing and deployment pipelines with Jenkins.
- Developed microservices architecture and implemented Git-based version control.
Projects
Enterprise Data Lake Solution with AWS
December 2024
- Designed and implemented an AWS-based data lake using Medallion Architecture (Bronze, Silver, Gold) for secure storage, processing, and analytics.
- Built scalable ETL pipelines with Apache Spark, AWS EMR, Glue and Lambda, integrating data from relational databases and streaming sources.
- Secured data with IAM roles, KMS encryption, and Glue Data Catalog, enabling advanced analytics with Redshift and QuickSight.
AWSApache SparkETLLambdaRedshift
Predictive Maintenance Dashboard
November 2024
- Designed a predictive maintenance dashboard using SQL to analyze historical data from CMMS systems.
- Built dynamic PowerBI visualizations to display real-time equipment status and failure predictions.
- Improved operational efficiency and reduced downtime by enabling data-driven maintenance planning.
SQLPowerBIData AnalysisPredictive Analytics
Handwritten Digit Recognition
- Created a custom AdaBoost algorithm with decision stumps to maximize model accuracy.
- Utilized TensorFlow and Keras with CNN architectures like VGG19 and Inception V3 for digit classification.
TensorFlowKerasCNNMachine LearningPython
Job Recommendation System
- Built a Flask-based recommendation engine utilizing NLP and machine learning.
- Integrated structured datasets with Pyomo decision models and geocoding.
FlaskNLPPythonMachine Learning
Student Survey Web Application
- Engineered a web application using ReactJS and Node.js for managing student surveys.
- Deployed microservices using Docker and Kubernetes for orchestration.
- Implemented CI/CD pipeline with Jenkins for automated deployments.
ReactJSNode.jsDockerKubernetesJenkins
Get In Touch
Contact Information
📍
Burke, VA