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사마더브후아드
Undergraduate student majoring in Industrial Engineering at KAIST. Huge interest in machine learning, artificial intelligence, and data science. Willing to implement my skills in the industry.
經歷
System Analytics Lab in the department of Industrial & Systems Engineering. I am currently conducting research on implementation of reinforcement learning in elevator dispatching systems.
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Manufacturing and Service Systems Lab in the department of Industrial and Systems Engineering. Conducted research in the field of scheduling problems in transportation, healthcare, logistics, and industrial production systems.
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BNB Dynamics focuses on the manufacturing of robots for commercial use. I fulfilled the role of a data collection intern. Conducted simple analysis as a part of Social Media Promotions and Marketing Team.
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Photoshop of the 21st Century
2022년 4월
Everyone has heard of Photoshop, and there's a reason why it is so popular. Given superior flexibility, photo editors turn into magic wands in the hands of not only professionals, but also amateurs and newbies. Such software is capable of working visual wonders — from creating abstract art to buildi
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KPMG Ideathon Challenge
2021년 12월 - 2022년 3월 · 4개월
Developed a complete business idea focusing on promoting green practices for businesses and using AI to address carbon neutrality issues. By using Flutter, Android Studio, and Python, developed a smartphone application that used CV and ML to recommend the most "green" products in convenience stores.
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UNIST Data Science Competition
UNIST · 2021년 11월 - 2021년 12월 · 2개월
Given a data set containing technical characteristics of KNOC oil wells and their monthly production capacity (290 wells, 30 attributes), the task was to predict the future amount of oil extracted. By performing regression with static data and time series analysis using Python, achieved 78% accuracy
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Rotman-UNIST Trading Competition
UNIST · 2021년 8월
The Rotman-UNIST Trading Competition (RUTC) is an event that allows teams from universities across the world to trade in a simulated market. A number of market scenarios were generated, with 4 commodities being traded separately (stocks, ETFs, oil, electricity). Generated the most profit and showed exceptional ability in handling volatile market environments among 21 teams.
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Pioneers 2071: Questioning the Next 50 Years
KAIST · 2021년 2월
The Pioneers 2071 conference focused on providing participants with the opportunity to research potential crises that can happen in the next 50 years and propose possible solutions along with policies, technologies, and innovative ideas across 3 different scenarios. We, team Goose Brain, showed splendid debating and problem-solving skills in the scope of Education, Economics, and AI.