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Lara T.
Data Analyst

Github
Swift
Al
Python
Bio

Lara holds a degree in Computer Science and brings four years of experience in mobile development, with a particular passion for technology related to Apple and iOS development. As a software engineer, she has expertise in various architectural patterns such as MVC, MVVM, and VIP. Proficient in GIT version control, Tuist, and Cocoapods, Lara is adept at using the Xcode IDE for her development projects. Her technical skills include making requests in REST APIs and programming in Swift and Python. She is also experienced in using storyboards, xib, and view code, and is well-versed in conducting both unit and UI testing.

  • iOS Engineer
    6/1/2020 - Present

    Led mobile and web application development initiatives for the luxury fashion e-commerce market, focusing on high-end user experiences and cutting-edge technology integration. Acquired advanced skills in building user interfaces with React Native for both iOS and Android platforms. Utilized Swift for native iOS development and Kotlin for native Android development to ensure optimal performance and seamless functionality across devices. Integrated secure payment gateways and API services using RESTful principles to maintain robust transactional operations. Gained expertise in cloud-based solutions, leveraging AWS for scalable and resilient backend infrastructure. Successfully deployed data analytics tools such as Google Analytics and Mixpanel to track user behavior and improve personalized shopping experiences. Managed source code repositories with Git, implemented continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, and ensured high-quality code through automated testing frameworks like Jest and XCTest. Demonstrated robust project management skills in agile environments, utilizing Jira and Confluence for sprint planning and team collaboration.

  • Strategy & Consulting Analyst
    5/2/2018 - 6/1/2020

    Served as an S&C Analyst within the architecture team of the NBA group for a significant telecommunications project. Key responsibilities included the development of algorithms aimed at internal improvements and process automation, coupled with thorough business analysis. Advanced technical expertise was demonstrated and further developed in Python, Java, and PL/SQL. Proficiency in data visualization and business intelligence was attained using Power BI and SAS CI, contributing to more efficient and informed decision-making processes.

  • Scientific Research Intern
    9/2/2017 - 4/2/2018

    Led the development of a sophisticated data collection algorithm tailored for the CAPES Theses and Dissertations Catalog. This project focused on mining data based on specific terms designated for subsequent in-depth data analysis. Demonstrated advanced proficiency with Python, ensuring efficient and effective data retrieval and processing. Additionally, leveraged Excel to organize, analyze, and visualize collected data, contributing to streamlined reporting and insights generation.

  • Computer Science at Federal University of ABC
    2019 - 2020

  • Bachelor of Science and Technology at Federal University of ABC
    2016 - 2020

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