ANKITA SINGH
github/asingh****** • 872-***-**** • adx919@r.postjobfree.com• linkedin/ankitansingh/ SKILLS
• Programming Languages: Python, Shell, Bash, R, SQL, C, C++
• Web Technologies: HTML, CSS, JavaScript, ASP.NET
• Frameworks & Others: Django, Docker, Kubernetes, Postman, SoapUI, Bitbucket, Terraform, MVC Architecture, Microservices, Hadoop, Spark, Rally, Jira, Confluence, MySQL, HBase, Hive, NoSQL, Microsoft SQL Server, React
• Operating Systems: Linux, Unix, Windows, Android
• Technologies, IDE & Version Control: REST API, Selenium, Postman, Docker, git, IntelliJ Idea, VisualStudio Code, Android Studio, Kafka
• Cloud: GCP, AWS (EC2, EMR, ECS, ECR, S3, CloudWatch) EXPERIENCE
National Renewable Energy Laboratory June 2022 – Present Computer Science Post Graduate Co-op - II (Advanced Computing Operations) United States
• Designed and developed Cloud Portal using Django, Python, AWS services, transforming self-service capabilities for NREL clients.
• Automated the provisioning of Linux instances and configurations on AWS, resulting in a significant productivity boost of 35%.
• Implemented infrastructure-as-code using Terraform, enabling seamless deployment and streamlined configuration management.
• Engineered Python applications with efficient CI/CD pipelines for Docker, ensuring rapid deployment.
• Strengthened system security by implementing IAM roles and policies through a bash script for EC2, ECS, and ECR.
• Utilized Agile methodologies to drive project success, including efficient backlog refinement, daily stand-ups, and sprint planning. Amdocs July 2018 - July 2021
Software Engineer (AT&T, PLDT) India
• Developed, documented, and refactored backend APIs using Python to generate backend logs to monitor the dashboard.
• Efficiently completed the migration of over 50 business process transitions from Oracle to MySQL using Oracle Data Integrator, resulting in improved system performance, enhanced data management, and streamlined operations.
• Proactively developed code using Minimal Testable Value (MTV) for Decision Tree Classification, automating scenario generation.
• Devised and executed an automated approach for validating Unix batch jobs, leading to a 50% decrease in validation time.
• Efficiently tested Java Services, XML, and RESTful APIs by utilizing SoapUI, ensuring robust performance and functionality.
• Mentored 4 new hires, fostering system understanding, establishing codebase, and sharing debugging methods. RELEVANT EXPERIENCE (githubRepositories)
Cloud Docker Scaling [source] AWS CodeBuild, ECS, Docker, Aug 2022 - Nov 2023
• Delivered scalable Docker app on AWS ECS which helped optimize costs. Implemented efficient CI/CD pipelines, showcasing expertise in Docker and cloud-native solutions.
Big Data Customer Segmentation Analysis[source] Neo4j, Python, Data Analysis Nov 2021 - Dec 2021
• Analyzed historical transaction data and RFM statistics on a large E-commerce dataset using Neo4j, resulting in a 25% increase in revenue by providing insights and suggesting personalized marketing campaigns based on customer behavior. Automatic Ticket Classification [source] EDA, Pandas, Data Visualization/Analysis, ML Jan 2018 – Dec 2019
• Performed Exploratory Data Analysis on the internal organization's ALM test data and built a test and training model set using a decision tree algorithm led to an overall accuracy of 75%. EDUCATION
ILLINOIS INSTITUTE OF TECHNOLOGY, CHICAGO, IL Aug 2021-May 2023 Master of Science in Computer Science
Relevant Courses: Introduction to Algorithms, Data Computer Networks, Adv. Database Organization, Software Quality Management SAVITRI BAI PHULE PUNE UNIVERSITY, PUNE, INDIA June 2014 - May 2018 Bachelor of Engineering in Electronics & Telecommunications Relevant Courses: Data Structures and Algorithms, Object-oriented programming, Operating Systems PUBLICATION (LI-FI Technology)
• Data transmission through visible light is featured in the International Journal of Innovations in Engineering Research and Technology, Volume 5, Issue 5, with ISSN 2394-3696. ACHIEVEMENTS
• Winner of the "Google AppSheet Hackathon”, Jul 2023: By leveraging the power of Google AppSheet, our application provided the agriculture manufacturing industry with a comprehensive solution to tackle their challenges and optimize their process.
• Women's Hackathon at Amdocs Learning & Talent Development", November 2018: Collaborated with team members to automate the manual process of test writing.
• Engaged with the Society of Hispanic Professional Engineers (SHPE) as a member, providing a platform for women to foster their learning and growth in the field.
• Contributed to the success of HIMSS Conference 2023: Recognized as top 10% from CS Dept., sponsored by Leap of Faith Technologies to represent them at HIMSS, amplifying professional growth and contributing to multi-million dollar client contracts for the company.