Gabriel CHEHADE

Guide and empower aspiring Machine Learning practitioners via personalized mentorship : • Assist students in understanding core concepts, frameworks, and methodologies in Machine Learning • Guide mentees through hands-on projects and real-world problem-solving exercises • Help mentees debug and optimize their models to improve performance and scalability

𝗟𝗲𝗱 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗶𝗻 𝗘𝗻𝗲𝗿𝗴𝘆 𝗰𝗼𝗻𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 : • Conducted extensive data analysis and preprocessing on energy meter and sensor data. • Developed Machine Learning and Deep Learning models to forecast the energy demand. • Deployed Machine Learning models as REST APIs for seamless integration with third-party applications. • Managed a cross-functional team of Data Analysts, Scientists & Developers. 𝗔𝗪𝗦 𝗰𝗹𝗼𝘂𝗱 𝗮𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 : • Setup of the R&D department's AWS infrastructure, implementing organizational units and IAM Identity Center. • Established security protocols through SCPs and Permission sets to ensure scalable access management. • Created comprehensive technical documentation to support organizational knowledge sharing.

• Literature review on the physical properties of 2D hybrid perovskites. • Measurement of the PL and time-resolved PL signal from 2D perovskite crystals. • Analysis of experimental data using Python, Jupyter, Matplotlib, Numpy and Pandas. • Writing of the master’s thesis in English using LaTeX.