Khon Kaen University - Thailand
Author Profile
SCOPUS
🌟 Early academic pursuits
Said Al Af Gani embarked on his academic journey with a profound interest in mathematics, earning his bachelor of science degree from the prestigious institut teknologi bandung (itb), indonesia, in 2019. under the mentorship of prof. irawati, his undergraduate thesis explored the intricate domain of multiplication modules over commutative rings, showcasing his analytical prowess in algebra. his passion for applying mathematical frameworks led him to pursue a master of science in data science and artificial intelligence at khon kaen university, thailand. working under the guidance of asst. prof. khamron sunat, ph.d., and assoc. prof. punyaphol horata, ph.d., he focuses on enhancing optimization techniques, with a thesis centered around improving the grey wolf optimizer through innovative strategies.
📊 Professional endeavors
Following his academic foundation, said transitioned into the professional world as a data scientist. he began his career at pt pegadaian, jakarta, where he spearheaded projects such as customer rating, lifetime value prediction, cross-selling strategies, churn prediction, and dynamic pricing support. leveraging tools like python, pyspark, and hadoop, he bridged data insights with business applications. subsequently, at credit bureau indonesia, he refined credit risk models by incorporating telco data and applying advanced machine-learning methodologies, further demonstrating his expertise in merging data science with practical solutions.
🔍 Contributions and research focus
Said’s research interests lie at the intersection of metaheuristics and machine learning. his master’s research delves into adaptive long-tail opposite learning, non-uniform mutation, and innovative hunting strategies to optimize the grey wolf optimizer for diverse applications. his professional contributions include building Medical Artificial Intelligence robust credit risk models, enhancing customer retention strategies, and supporting dynamic pricing frameworks—all pivotal in shaping data-driven business decisions.
🏆 Accolades and recognition
While still early in his career, said has been recognized for his technical acumen and ability to deliver impactful solutions in both academic and professional domains. his work at credit bureau indonesia and pt pegadaian has earned him commendations for integrating advanced data science techniques into actionable business Medical Artificial Intelligence insights.
🌍 Impact and influence
Through his dual roles as a researcher and practitioner, said al af gani has significantly impacted the fields of optimization, machine learning, and applied data Medical Artificial Intelligence science. his ability to bridge academic theories with real-world applications has influenced the strategies of leading organizations in indonesia, particularly in finance and customer analytics. his dedication to developing innovative optimization models is set to benefit broader domains in the future.
🚀 Legacy and future contributions
Said’s ongoing research in metaheuristics and artificial intelligence positions him as a forward-thinking innovator. with a commitment to solving complex challenges, he aims to continue contributing to both academia and industry. his work promises to advance optimization techniques and their application across various domains, inspiring the next generation of data scientists.
Notable Publications
Title: Hybridization of Modified Grey Wolf Optimizer and Dragonfly for Feature Selection
Authors: Al Afghani Edsa, S., Sunat, K.
Journal: Communications in Computer and Information Science