Sunghyon Kyeong

Sunghyon Kyeong Email and Phone Number

Compliance and Strategy | Data Analyst @ 당근페이 (KarrotPay)
Incheon, South Korea
Sunghyon Kyeong's Location
Seoul Incheon Metropolitan Area, Korea, Republic of
About Sunghyon Kyeong

👋 Hello! I'm an Data Analyst and AI-powered Service Maker at KarrotPay, where I combine my deep knowledge in neuroscience with cutting-edge AI and data science to drive innovation in fintech.🔍 My expertise lies in:- AI and Data Product Management: Skillfully planning and managing data-driven products to optimize performance and user experience.- Fraud Detection Model Development: Crafting sophisticated models to safeguard our clients and the financial ecosystem.- Fine-Tuning Large Language Models (LLM): Adapting advanced AI models to enhance business domain applications, pushing the boundaries of AI in finance.- Credit Scoring Models using Non-Traditional Data: Innovating in credit assessment by integrating non-CB data, opening new avenues for financial inclusion.- Forecasting for Loan and Deposit Products: Utilizing predictive analytics to anticipate market trends and product performance.- Analyzing Financial Behaviors: Gleaning insights from data to understand and serve our customers better.Applying Machine Learning and Deep Learning: Harnessing these powerful tools to transform complex datasets into actionable intelligence.🧠 With a PhD in Neuroscience, I bring a unique perspective to data science, understanding both the complexities of human behavior and intricate data patterns. This intersection of knowledge empowers me to innovate and create more intuitive, user-centric financial products.🤝 I'm passionate about leveraging technology to revolutionize the banking experience. Let's connect to share insights, collaborate on projects, or just have an engaging conversation about the future of AI in finance.

Sunghyon Kyeong's Current Company Details
당근페이 (KarrotPay)

당근페이 (Karrotpay)

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Compliance and Strategy | Data Analyst
Incheon, South Korea
Website:
daangnpay.com
Employees:
43
Sunghyon Kyeong Work Experience Details
  • 당근페이 (Karrotpay)
    Compliance And Strategy | Data Analyst
    당근페이 (Karrotpay)
    Incheon, South Korea
  • 당근페이 (Karrotpay)
    Data Analyst
    당근페이 (Karrotpay) Sep 2024 - Present
    대한민국 서울
    Data analytics Fraud detection model
  • 카카오뱅크 Kakaobank
    Ai사업팀 | Ai Pm
    카카오뱅크 Kakaobank Feb 2024 - Aug 2024
    대한민국 경기도 성남
    AI 사업 전략AI 사업 추진AI PM
  • 카카오뱅크 Kakaobank
    데이터Biz 캠프 | Ai And Data Pm
    카카오뱅크 Kakaobank Jan 2023 - Jan 2024
    대한민국 경기도 성남
    - 데이터 기반 고객 경험 분석과 제품 기획- AI 및 데이터 모델의 제품화- 비지니스 인사이트 발굴을 위한 데이터 분석- PM of AI-powered Fraud detection projects- 계좌번호 패턴 기반 금융기관 추천 모델 개발- Fine-tuning of LLM for Dialogue Summarization- 딥러닝 모델 개발과 학술논문 작성
  • 카카오뱅크 Kakaobank
    빅데이터분석 | 데이터프로덕트팀장
    카카오뱅크 Kakaobank Nov 2020 - Dec 2022
    대한민국 경기도
    - 데이터 기반 신사업 발굴- AI 및 데이터 모델의 제품화- 비지니스 인사이트 발굴을 위한 데이터 분석- 자금세탁방지 RegTech 프로덕트 관리- 악성이체 탐지모델 개발 및 제품화- FDS 및 전통사기 프로덕트 관리- 카뱅 금융 네트워크 분석- 로지스틱 기반의 Carrying Capacity 모델링- 카카오뱅크, CSS로 '일' 낸 사연? (ZDNET Korea, 2022/12/05)
  • 카카오뱅크 Kakaobank
    빅데이터분석 | 금융분석 매니저
    카카오뱅크 Kakaobank Jun 2020 - Dec 2021
    대한민국 경기도 성남
    - Development of credit scoring system (2021년)- Fraud detection model to protect customers who buy products through flea markets (2020년)- Analyzing customers' preference between loan amount and interest rate when they made a decision among multiple loan offers (2020년)- Development of loan balance forecasting models (2020년)
  • 카카오뱅크 Kakaobank
    빅데이터파트 | 데이터 사이언스 담당자
    카카오뱅크 Kakaobank Jul 2019 - May 2020
    대한민국 경기도 성남
    - Fraud and anomaly detection using machine learning and topological data analysis- Development of a family prediction model- Social and transaction network analysis
  • Yonsei University 연세대학교
    Research Professor
    Yonsei University 연세대학교 Mar 2019 - Jun 2019
    Seoul
    - Implementation of the controllability of complex network with Python and its application to brainnetwork analysis- Data crawling and cleansing from the raw gait analysis data stored in an Excel file for eachsubject, and identification of subgroups using community detection algorithm according to its gait patterns
  • Yonsei University 연세대학교
    Senior Researcher
    Yonsei University 연세대학교 Sep 2018 - Feb 2019
    대한민국 서울
    - Connectome-based prediction model to estimate the human's three innate psychological need.
  • Philips
    Clinical Scientist
    Philips Sep 2017 - Aug 2018
    Seoul
    - Visiting regularly luminary sites and support the customer’s requested MRI research- Development of medical imaging time-series data (i.e. 4D data) analysis software which includedbandpass-filtering, noise regression, network analysis, independent component analysis- Technical presentation of recent trends in medical imaging time-series data analysis at AsanMedical Center and Ewha University
  • Yonsei University 연세대학교
    Postdoctoral Fellowship
    Yonsei University 연세대학교 Mar 2016 - Aug 2017
    Seoul, Korea
    - Development of imaging-based ADHD diagnosis method using topological data analysis andhealthy state model- Development of prediction model for postoperative delirium using preoperative brain imagingdata and clinical scales
  • National Institute For Mathematical Sciences, Daejeon
    Technical Research Personnel (전문연구요원)
    National Institute For Mathematical Sciences, Daejeon Oct 2011 - Aug 2014
    - Implementation of topological data analysis algorithm, and its application to medical imagingdata analysis- Implementation of complex network analysis algorithm to apply human brain network- Development of Twitter streaming data acquisition program using Python and MongoDB,development of social topic algorithm, and conducted geographic clustering analysis usingcomplex network analysis framework- Identification of personality subgroups and statistical analysis to reveal the differences offunctional network modular organization between the two groups.
  • The Belle Collaboration
    Graduate Student Researcher
    The Belle Collaboration Jan 2007 - Aug 2009
    Tsukuba, Japan
    As a graduate student, I joined the Belle Collaboration. At that time, I actively joined weekly international video meeting. Throughout my graduate period, I performed data analysis which was collected by Belle detector. Using the 640 millions of B-Bbar pair datasets, I measured the branching ratio of the decay B0 -> rho0 K*0 and it was published in Physical Review D 80 051103 (2009).

Sunghyon Kyeong Education Details

Frequently Asked Questions about Sunghyon Kyeong

What company does Sunghyon Kyeong work for?

Sunghyon Kyeong works for 당근페이 (Karrotpay)

What is Sunghyon Kyeong's role at the current company?

Sunghyon Kyeong's current role is Compliance and Strategy | Data Analyst.

What schools did Sunghyon Kyeong attend?

Sunghyon Kyeong attended Yonsei University, Yonsei University, Yonsei University.

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