Tommy C. Kang

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Predictive Analytics Team Leader at Hyundai Card Algorithm Lab. Big Data Engineer - Building Data Analysis Platform(Collect, Preprocessing, Data Warehousing) on AWS environment - Client Log Collect using Amazon Kinesis - Constructing Data Lake/Data Warehouse/Data Mart using Amazon EMR, Hive, Pig, Spark, Apache Sqoop - Petabyte scale data manipulation using Apache Hadoop/Spark Log Modeling Expert - Client/Server Log Modeling. Unified User Behavior Data Modeling - Constructing BI System using Splunk - Building data analysis process on dev/business domain. Business Domain Data Analyst - Analysis Expert about B2C SaaS domain data. - Data-driven data analysis using Jupyter, Zeppelin, R by S...

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About

Tommy C. Kang

Presentations

Domain Specific Languages With Groovy

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Causal Inference : Primer (2019-06-01 잔디콘)

Understanding MLOps

Introduction to Graph Databases

논문리뷰: Deep Neural Networks for YouTube Recommendations

Recommendation System Explained

Explainable recommendations - IJCAI 2017 XAI Workshop

Kubeflow and Data Science in Kubernetes

Seldon: Deploying Models at Scale

Evaluation in IR system (검색 시스템의 평가)

오픈소스로 만드는 DB 모니터링 시스템 (w/graphite+grafana)

Chapter 15 Representation learning - 1

Continuous Machine and Deep Learning with Apache Ignite

The DMP

The DMP 101 - Data Management Platforms Explained

data science @NYT ; inaugural Data Science Initiative Lecture

데이터 분석 프로젝트 관리 방법론

Interactive Visualization With Bokeh (SF Python Meetup)

Introduction to Data Vault Modeling

Machine Learning In Production

Machine learning model to production

Pycon korea 2018 kaggle tutorial(kaggle break)

Time-series prediction with neural networks

Time series predictions using LSTMs

Deep learning - A Visual Introduction

Time Series Forecasting Using Recurrent Neural Network and Vector Autoregressive Model: When and How with Jeffrey Yau

Timeseries forecasting

Facebook prophet

인생은 짧아요, 엑셀 대신 파이썬

Operational, Analytical & Collaborative Crm

Apache Superset at Airbnb