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| | Click here or scroll down to respond to this candidate Candidate's Name
EMAIL AVAILABLE | linkedin/Candidate's Name / | PHONE NUMBER AVAILABLE | ankita.github.io
Skills ________________________________________________________________________________________________
Languages: Python, R, SQL, JavaScript, HTML, CSS, RDBMS, OOP, Shell, Bash
Technologies/Frameworks: Machine Learning, Data Science, Business Intelligence, Data Structures, Algorithms, Data Engineering,
Data Analytics, MVC, ETL, Big Data, Agile, SDLC, Process Automation, Problem Solving, Data Modeling, Hadoop, Spark, Django,
Docker, Kubernetes, Postman, SoapUI, Bitbucket, PowerBI Kafka, IntelliJ, SoapUI, Waigtail
Tools/Platforms: Tableau, UNIX/Linux, Snowflake, GCP, AWS (EC2, EMR, ECR, IoT, Load Balancer, CodeBuild), Azure
Certifications: HashiCorp Certified Terraform Associate, Introduction to Containers and Docker, Python, AWS: Cloud Practitioner,
AWS Certified Developer - Associate
Experience ___________________________________________________________________________________________
Software Engineer National Renewable Energy Laboratory Denver, CO, USA 05/2023 - Present
Spearheaded integration of AWS Stratus cloud services with the Eagle supercomputer at NREL, employing Grafana for
visualization, AWS IoT for streamlined data management, Kafka, and node.js for constructing model components which
improved data distribution, analysis, and modeling queue control, delivering an outstanding 40-80% cost reduction.
Developed a Single Sign-On (SSO) cloud portal website using the Django framework, incorporating microservices, web
services, and serverless patterns. Strengthened security measures, resulting 70% reduction in the risk of cyber threats.
Created Terraform configurations to effortlessly generate 30 S3 buckets and 10 CloudFront distributions, culminating in a 30%
reduction in deployment time for NREL cloud services.
Software Engineer Intern National Renewable Energy Laboratory Denver, CO, USA 06/2022 - 05/2023
Developed and containerized an interactive e-learning application focused on renewable energy technologies, leveraging Jenkins,
Docker, Kubernetes, Python, and AWS within a CI/CD pipeline. Implemented scaling strategies for streamlined build and
deployment processes.
Led a Proof of Concept (POC) at NREL utilizing AWS SageMaker to extract foundational insights from renewable energy
datasets, guiding future computational and laboratory experiments.
Created IAM roles and policies following least-privilege principles to avoid unauthorized access to research computing
infrastructure.
Software Development Engineer Amdocs 07/2018 05/2021
Designed RESTful APIs for microservices to meet specific business requirements for enhancing the efficiency and
responsiveness of Amdocs Billing Products for AT&T, resulting in a 20% reduction in processing time.
Led and validated the migration of 1 million data from Oracle to MySQL, collaborating with senior engineers to ensure a
seamless transition with a performance architecture approach.
Reduced manual testing efforts by 20%, implementing AI/ML for efficient model selection and Decision Tree classification in
Python, leading to a first prize in a hackathon and fostering collaboration with testers.
Optimized Amdocs OSS and BSS billing products, leading rigorous network testing with XML files and SoapUI, achieving a
25% boost in system efficiency. Demonstrated strong Troubleshooting skills and seamless integration of critical functionalities.
Education ____________________________________________________________________________________________
Master of Science Illinois Institute of Technology Chicago, USA 08/2021 - 05/2023
Major in Computer Science
Bachelor of Engineering Savitribai Phule Pune University Pune, India 08/2014 - 05/2018
Major in Electronics and Telecommunications
Projects (https://github.com/asingh301996)___________________________________________________________________
Cloud Docker Scaling | AWS CodeBuild,ECS, Python, Linux [source]
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 | Python, NoSQL, Data Mining, Predictive Modeling [source]
Analyzed and implemented 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 | EDA, Pandas, Tableau, AI/ML [source]
Performed Exploratory Data Analysis on the internal organization s ALM test data using Apriori algorithm and NLTK for NLP. And
visualized the insights using Tableau, achieving an impressive overall accuracy of 75%
Publication_________________________________________________________________________________________
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[LI-FI Technology]
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