I have a diverse background with years of experience and skills in various industries. My experience as an English teacher has allowed me to develop strong communication and interpersonal skills. I am adept at creating engaging lesson plans and fostering a positive learning environment for students of all ages and backgrounds.
In addition to my teaching experience, I also have a strong foundation in mechanical engineering. I am proficient in using software such as AutoCAD Mechanical and ANSYS for designing and analyzing mechanical systems. My knowledge of fluid mechanics allows me to understand and solve complex problems related to fluid dynamics.
I hold a master's degree with a focus on Energy Conversion, which has equipped me with the expertise to analyze and optimize energy systems. My education has provided me with a deep understanding of sustainable energy solutions and their impact on the environment.
Furthermore, my eight-year tenure at Turkish Airlines as an Operations, Marketing, and Accounting agent has given me valuable experience in the aviation industry. I have a strong background in managing operations efficiently, developing marketing strategies, and maintaining accurate financial records. This experience has honed my organizational skills and attention to detail.
Throughout my career, I have achieved numerous milestones and successes. I have successfully taught students from diverse backgrounds and helped them achieve their language learning goals. I have also contributed to the development and implementation of efficient processes within Turkish Airlines, resulting in improved customer satisfaction and cost savings.
Overall, my years of experience, diverse industry knowledge, and valuable skills make me a versatile and capable candidate who is ready to excel in various roles and challenges.
Ac-Score is a Number Between 150-850 Representing Your Entire Academic Activities. This Number Not Only Gives You a Vision of Your Strengths and Weaknesses in Your Academic Background but Also Helps You Compare Yourself with Other Competitors in This Domain.
Experimental study of thermal conductivity coefficient of nanofluid copper-alumina/ethylene glycol in volume fractions and different temperatures and presenting new models based on laboratory findings and neural network.
Estimate the shear rate & apparent viscosity of multi-phased non-Newtonian hybrid nanofluids via new developed Support Vector Machine method coupled with sensitivity analysisThird author
Journal :
Physica A: Statistical Mechanics and its Applications
Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycolSecond author
Journal :
Physica A: Statistical Mechanics and its Applications
Discrete ordinates thermal radiation with mixed convection to involve nanoparticles absorption, scattering and dispersion along radiation beams through the nanofluidSecond author