At CTI Lab, our deep threat intelligence is reshaping enterprise security management through AI-driven decision-making and optimization. My leadership in developing an anomalous behavior and event detection framework, along with the implementation of cyber threat intelligence using CRISP-DM, represents our commitment to cutting-edge cybersecurity solutions.With a recent accolade for ML-based Detection Technology alongside OPEN AI and Microsoft, our team is recognized for innovation in machine learning. We're dedicated to advancing our dynamic AI capabilities, ensuring that CTI Lab remains at the forefront of the cybersecurity industry.
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Director Of Ai DivisionCti Lab (씨티아이랩) Oct 2022 - Jul 2023Seoul, South KoreaCtilab's Deep Threat Intelligence (DTI): Enterprise’s Dynamic AI-based security management and decision-making system focusing on optimization and simplicity. I am working on the idea of Human-machine co-decision-making process in CTILab is emerging technology, Deep Threat Intelligence as the result of tangible intellectual properties.Gartner Emerging Technology tech review and verification process, including presentation (2023.04.01 Selected for the first time in Korea as ML-based Detection Technology with OPEN AI and Microsoft)# Anomalous Behavior & Event Detection Framework Development & Implementation# Cyber Threat Intelligence using Cross-Industry Standard Process for Data Mining (CRISP-DM)# Data Science Team Management & Operation# Operating Jump Start Program for Adopting Next-Generation Analytics Solution into Enterprise-Wide System# Providing TO-BE Architecture & Decision Making Process based on AS-IS Assessment for Enterprise Level Challenges & Business Problems
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Research & Analtics Lab LeadEnliple Jul 2021 - Feb 2022Seoul, South KoreaCurrently conducting & working on three main research areas, in which (1) Product Recommendation, (2) Display + Resource Optimization Problems and (3) Dynamic Retargetting (Frequency + CTR Modelling). In order to do so, we are also building big data architecture to maximize speed of analytical process, aka DataOps Project. In 2022, we are aiming to achieve MLOps architecture and process for Ad Tech services in our Platform, Mobon. -
Director Of R&D LabNeurolines Dec 2020 - Jun 2021Seoul, South Korea1. Planning & Managing for AI R&D projects Stepping stone tasks for the 2021 Startup Growth Technology Development Project:‘Development of a chemical risk management system through chemical substance risk group classification’2021 AI-based data value advancement platform R&D business plan:‘Development of a chemical risk management system through chemical risk analysis and prediction’2. Detailed Design of Next-generation Data PlatformNext-generation big data platform detailed design proposal writing and planningBig data system data integration and data standardizationDesign and advancement of machine learning analysis environmentDevelop big data-based machine learning model and perform leading tasks -
Director Of Ai R&D LabCti Lab (씨티아이랩) Jan 2019 - Dec 2020Seoul, KoreaCtilab's Deep Threat Intelligence (DTI): Enterprise’s Dynamic AI-based security management and decision-making system focusing on optimization and simplicity. I am working on the idea of Human-machine co-decision-making process in CTILab is emerging technology, Deep Threat Intelligence as the result of tangible intellectual properties.# Anomalous Behavior & Event Detection Framework Development & Implementation# Cyber Threat Intelligence using Cross-Industry Standard Process for Data Mining (CRISP-DM)# Data Science Team Management & Operation# Operating Jump Start Program for Adopting Next-Generation Analytics Solution into Enterprise-Wide System# Providing TO-BE Architecture & Decision Making Process based on AS-IS Assessment for Enterprise Level Challenges & Business Problems
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Senior Data ScientistBespin Global Apr 2018 - Dec 2018Gangnam-Gu, Seoul, KoreaMachine Learning, Big Data, Cloud, and Data ScienceConducted & Managed Projects in ML/AI, Data Science, and Analytics# Demand Forecasting (S&OP) using AWS Sagemaker and Machine Learning Models# Predictive Quality Control Projects using GCP DataLab and BigQuery in Manufacturing Industry # Big Data Analytics using Social Data and Sentiment Analytics# Predicting (raw material) Price Project (Futures & Commodities Markets)# Delivered Presentations for clients from Banking, Retails, eCommerce, and Manufacturing Industries Presentation delivered to Enterprise Clients & CustomersAWS Korea, AWS E-commerce & Retail Day 2018, Seoul, Korea Oct 2018 Presenting “유통 고객을 위한 AWS AI/ML서비스를 통한 분석 사례”BESPIN GLOBAL, “엔터프라이즈의 인공지능과 머신러닝 도입은 왜 어려울까?”, Seoul, Korea Sep 2018 Presenting “AI/ML is a Means to Digital Transformation, Not an End itself” -
Director Of Enrollment Management & AnalyticsColumbia College, Virginia Sep 2017 - Feb 2018Washington D.C. Metro AreaDirector of Enrollment Management & Analytics provides strategic leadership and day-to-daydirection for the successful operation of online marketing campaign plan, student enrollment management, and admissions function of the College. Director ofEnrollment Management & Analytics supervises the admissions staff and participates in recruiting and enrolling new students. Director oversees financial aid and admissions department's operation to build a qualified pool of candidates for admission and enrollment into certificate and degree programs for each term.1. Remain professionally active and up-to-date on best practices in non-traditional enrollmentmanagement, admissions, and marketing with an actionable insight from big data.2. Participate in staff development, training events, and outside meetings3. Develop and implement a strategic recruitment plan to ensure the College’s enrollmentgoals are achieved4. Analyze and interpret historical and current data, seeking trends and identifying areas forgrowth in new student enrollment with market research and consumer understanding.5. Submit and maintain reports, tracking, forecasting, and management data in an agile and dynamic manner -
Software Development & Data Analytics Team LeadColumbia College, Virginia Jan 2017 - Sep 2017Washington D.C. Metro AreaAs a software development leader, I mainly worked on cutting edge enterprise cloud application development for College's Student Information System, and I took a main responsible for the architecture, design and implementation of automated business process by working with business users and development teams to build game changing products and system.* Design and implementation of automated tasks for student information system starting from outdated old system in a fast-paced agile Continuously Integration, Continuous Testing, & Continuous Deployment environment.* Architecture and implementation of agile software development framework, infrastructures, and tools being utilized across multiple departments and users.* Development and maintenance of tools and reporting infrastructures for visualization of key business metrics across multiple department and purposes.* Research emerging analytics, trends and methodologies and enhance existing systems and processes* Mentor junior software Engineer on coding standards and best practices through designing smart and efficient workflow.* Provided guidance and work leadership to less-experienced software engineers.As a Data Scientist Leader, I was part of a team that’s leading the next wave of innovation, improvement, and analytics solution at a whole new scale by using latest techniques in information retrieval and elicitation to accurately answer key business questions using big data, thereby enabling sophisticated models to power business decision making.* Explored & evaluated the landscape of data, tools & cutting edge techniques to improve entity capabilities to do informed decision making process* Partnered with data engineers to validate & deploy recommendations in an efficient, sustainable & actionable manner with insights from data analytics -
Data Reporting AnalystAmerican Institutes For Research Jun 2016 - Apr 2017Washington D.C. Metro Area* Data Analytics * Data Quality Control* Process Design using Analytics & Behavioral Insights* Educational Policy* Project Management -
EconometricianNew York State Department Of Taxation And Finance Jan 2014 - Jan 2016Albany, New York AreaAssisted and Took department-wide initiatives CRM (Customer Relationship Management) in collecting data and conducting related research and the data analysis of Voluntary Compliance program using randomized controlled experiment and machine learning techniques with a large-scale data source (or Big Data) using SPSS Modeler, SAS, R, Tableau, and STATAExperience in Behavioral Modeling (development of models for predicting compliance behavior over non-homogeneous conditions in Income Tax and Sales Tax)Fraud Detection (or Predictive Model Development for ID Theft & Earned Income Tax Fraud);Utilized advanced statistical techniques to create high performing predictive models and creative & agile analysis to address key business questions & problemsDeveloped working prototypes of detection algorithms to be implemented into productionProven ability to communicate sophisticated statistical models and other complex quantitative information for a broader business audience, including top management teamExperience in building the quantitative underpinning for a cutting-edge experimentation program and performing advanced analytics for AB testing with cost-benefit analysisUtilized knowledge for experimental design, segment discovery, and outreach programsAutomated analytical process using scripting tools with CRISP-DM approachCreated a framework (including segmentation and behavioral studies to uncover opportunities and develop hypotheses) for business and analytics teams to apply the appropriate methods -
Graduate Student AssistantNew York State Education Department Jul 2013 - Dec 2013Albany, New York Area Assisted in collecting data and conducting a data analysis of Virtual Advanced Placement program Created presentation materials, gathering data and information for reports and Memos, and assisting databases as necessary to conduct evaluation on program with experimental data & cost-benefit analysis -
Administrative Student Assistant동국대학교 Feb 2011 - Aug 2012Jung-Gu, Seoul, KoreaAdministrative operations and processes in higher education -
Assistant Researcher산업정책연구원 (Institute For Insustrial Policy Studies) Apr 2011 - Sep 2011Mapo-Gu, Seoul, Korea Managed and prepared the Jeju Forum for Peace and Common Prosperity as part of a task force team, and communicated with participants, both national and international Conducted analytical research on how to sustain and improve East Asian relationships politically and economically, and conducted relevant literature review
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Intern한반도선진화재단 (Hansun Foundation For National Advancement) Jan 2009 - Jan 2010Jung-Gu, Seoul, KoreaAssisted research design, data collection, drafting charts and graphs, and designing educational programs
Dan W. Kim Education Details
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Public Economics -
Economics -
Economics And International Trade (Double Major)
Frequently Asked Questions about Dan W. Kim
What is Dan W. Kim's role at the current company?
Dan W. Kim's current role is Director of AI Division | Gartner Tech Review, Anomalous Behavior Detection.
What schools did Dan W. Kim attend?
Dan W. Kim attended State University Of New York At Albany, Dongguk University, Dongguk University.
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Daniel W. Kim
San Jose, Ca8gmail.com, swiftly.com, gmail.com, goswift.ly, symphonycommerce.com, gmail.com, symphonycommerce.com, symphonycommerce.com6 +191658XXXXX
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