# Shanaaz Deo > Staff Application Integration Engineer at Ridgeline Location: San Francisco Bay Area, United States Profile: https://flows.cv/shanaaz ## Work Experience ### Staff Application Integration Engineer @ Ridgeline Jan 2024 – Present | San Ramon, California, United States ### Senior Software Engineer @ LULA Jan 2023 – Jan 2023 | Palo Alto, California, United States • API development and database management for Lula’s document generation tools, client portals, and policy management services, which resulted in higher consistency for operations involving client data • Learned how to efficiently code in a functional programming manner by developing with the .NET framework using F#, in addition to my object oriented coding background ### Software Engineer III @ Workday Jan 2021 – Jan 2023 | Pleasanton, California, United States • Acted as team lead for the automation of our team’s weekly report for the Environment Operations team, which outlines key trends in our forecasting/optimization tools, resulting in an increase of the team’s overall efficiency and weekly development bandwidth • Developed a R Shiny application that displays forecasted growth of Workday’s internal resources, such as MySQL servers and CPU capacity • Continued to make changes to our primary tooling in Java in order to to increase the efficiency and accuracy of our team’s algorithms ### Software Engineer II @ Workday Jan 2019 – Jan 2021 | Pleasanton, California, United States • Enhanced the existing tooling in Java for our machine learning algorithms, which are used for tenant and resource allocation across Workday’s data centers • Developed our data pipelines using the Spark infrastructure, which would aggregate and process data from our MySQL and HDFS data stores •Created an Introduction to Docker Workshop, and taught the material to students at various universities as a way of helping Workday recruit interns and new grads ### Software Engineer I @ Workday Jan 2018 – Jan 2019 | Pleasanton, CA • Produced a Java application that fetches configuration data about Workday's services that generates a compiled Jar file for clients to consume • Developed an Anomaly Detection framework that uses time series analysis and threat intelligence to calculate the risk score of Workday's tenants • Created a database that stores infrastructure configuration and build requirements; built an accompanying framework to access the database, along with a Jenkins pipeline ### Student Project Manager @ UC Berkeley Division of Data Sciences Jan 2016 – Jan 2018 | Berkeley • Coordinated and lead seven teams consisting of 50+ students • Managed interview and applicant processes year-round for teams relating to curriculum development, mapping research, outreach/marketing, and Jupyter infrastructure development • Mentored student leads and conducted leadership/management workshops ### Data Science Tutor @ UC Berkeley Division of Data Sciences Jan 2017 – Jan 2017 | Berkeley, California, United States • Provided tutoring to small groups of students teaching statistical inference techniques • Developed worksheets and led review sessions covering hypothesis testing, A/B testing, regression, and classification techniques ### Undergraduate Researcher, Head of BIDS Infrastructure Team @ UC Berkeley Division of Data Sciences Jan 2015 – Jan 2016 | Berkeley, CA • Established the course infrastructure by creating python exercises in Jupyter Notebooks • Marketed the course to the Berkeley community via social media • Led a team of six undergraduates to design and implement website infrastructure for the Berkeley Data Science initiative in Drupal and Jekyll/Github Pages • Managed the Data 8 Connector course support and website development ### Data Engineering Intern @ PayPal Jan 2017 – Jan 2017 | San Jose • Developed algorithms in Hadoop and Teradata to increase data flow coverage by over 5% in data sets containing mobile application/browser customer information • Improved detection accuracy through variable creation and feature engineering by working with over 50 million rows of data ### Software Development Intern @ Verizon Enterprise Solutions Jan 2016 – Jan 2016 • Programmed a Cross-Platform Mobile Application using C# and Xamarin Forms • Saves $3.9M in annual dispatch cost from Fios (Fiber-optic Home Internet Services) drops • Worked in Agile team environment; encouraged Verizon to adopt Agile for future practices ### Software Development Intern @ Verizon Enterprise Solutions Jan 2015 – Jan 2015 • Analyzed metadata transformation through Hadoop, Hive, Exadata, and the Oracle Database • Streamlined usability and eliminated redundancy of Verizon's IMPACT team by using ElasticSearch, Logstash, and Kibana on log files containing errors, found solution that saves $8,064/yr • Won the Verizon Hackathon by devising a searching algorithm relating to the Traveling Salesman Problem ### Data Analysis and Visualization Tutor @ University of California, Santa Cruz - Jack Baskin School of Engineering Jan 2014 – Jan 2014 | UC Santa Cruz • Prepared handouts for R tutorials and created homework assignments • Provided additional help for students after class ### Data Analysis Research Assistant @ University of California, Santa Cruz - Jack Baskin School of Engineering Jan 2014 – Jan 2014 | UC Santa Cruz • Cleaned, fused, and analyzed multiple data sets in R studio including wealth, population, and energy usage • Used ggplot to create visualizations such as histograms, scatter plots, etc. ## Education ### Bachelor of Arts (B.A.) in Computer Science University of California, Berkeley Jan 2015 – Jan 2017 ### Computer Science University of California, Santa Cruz Jan 2013 – Jan 2015 ### Monte Vista High School ## Contact & Social - LinkedIn: https://linkedin.com/in/amrita-shanaaz-deo - GitHub: https://github.com/akdeo --- Source: https://flows.cv/shanaaz JSON Resume: https://flows.cv/shanaaz/resume.json Last updated: 2026-03-22