Jobelynne Bote

Backend

• Create multiple financial models using Python, Pandas and NumPy for an oil and gas company.

• Developed a web app using React and Django with a team that would help both tradespeople and HR to simplify compliance, reduce manual processes, and improve audit readiness.

• Implemented a database pipeline using Python, with Jupyter Notebook as UI, that converts SQL data to a format that our financial models are able to ingest.

• Developed and maintained a financial model for Region 6 using Python with Pandas and Numpy libraries.
• Created unit and integration tests using Pytest that ensured that our financial model's calculations are accurate and that the modules are interacting seamlessly.

• Developed and maintained 2 financial models for Region 5 using Python with Pandas and Numpy libraries.
• Created unit and integration tests using Pytest that ensured that our financial model's calculations are accurate and that the modules are interacting seamlessly.

• Developed and maintained 2 financial models for Region 4 using Python with Pandas and Numpy libraries.
• Created unit and integration tests using Pytest that ensured that our financial model's calculations are accurate and that the modules are interacting seamlessly.

• Managed a team of 2-3 people that developed financial models using Python, Pandas and NumPy.
• Administered code review feedback through Azure, tracking identified issues and ensuring resolutions were integrated into future development sprints.
• Created and managed workflow timelines for financial model development, ensuring clients had clear visibility into key milestones and delivery expectations.

• Developed and maintained 3 financial models for Region 3 using Python with Pandas and Numpy libraries.
• Created unit and integration tests using Pytest that ensured that our financial model's calculations are accurate and that the modules are interacting seamlessly.

• Developed and maintained a financial model for Region 1 using Python with Pandas and Numpy libraries.
• Developed a feature that enables users to view and verify underlying formulas used in the financial model.
• Created Jupyter notebooks that enabled users to visualize their data and look at the calculations in depth.
• Created unit and integration tests using Pytest that ensured that our financial model's calculations are accurate and that the modules are interacting seamlessly.

• Developed and maintained a financial model for Region 2 using Python with Pandas and numpy libraries.
• Created unit and integration tests using Pytest that ensured that our financial model's calculations are accurate and that the modules are interacting seamlessly.

• Facilitated all change map meetings that aimed to improve their team's performance and way of working.
• Facilitated all RNC testing team scrum meetings

• In charge of analyzing videos, pictures and logs collected on the disaster site using a fleet of drones connected to a private mobile broadband network.

• Developed and maintained software that tests performance of 3G Radio Network controller (RNC) product using C for the backend and Java for the GUI.
• Optimized the performance of RNC tester GUI running on Java by reducing the latency to 0 introduced by the GUI during start of the application.