Daniel Kwon

Bis 2017, Business Development Account Manager, Celfras Semiconductor Inc.

Frankfurt am Main, Deutschland

Fähigkeiten und Kenntnisse

Machine Learning
MS Office
Corporate Finance
Business Development
Python
Quantitative analysis
Text Mining
SQL
Google cloud platform
Data Science
Data Analysis
Big Data
Data Warehouse
Tensorflow
Docker
Probability
Mathematical Economics and Financial Mathematics
Artificial Intelligence
AWS
HeidiSQL
MongoDB
Robo 3T
SQLAlchemy
Git
GitHub
Franchising
R

Werdegang

Berufserfahrung von Daniel Kwon

  • Bis heute 5 Jahre und 5 Monate, seit Jan. 2019

    Data Teammate

    Fast Campus

    - Developed creative interactive graphics and data visualizations with python. - Analyzed data with Python and design data-driven charts and graphic on DABANG real estate application. - Created state of the art data systems that ingest, model and analyze massive flow of data from G-market online shopping and mobile shopping user activity to create models to achieve business objectives. - Developed and maintained web portals for data sharing and visualization with R, Python.

  • 1 Jahr und 11 Monate, Sep. 2017 - Juli 2019

    Data Engineer

    Celfras Semiconductor Inc.

    - Requirements gathering, design, normalization and implementation of databases. - MySQL programming, creating tables, views, triggers, stored procedures, user defined functions. - Data extraction, transforming and loading (ETL) using SQL Server Integration Services (SSIS). - Analytical queries, reports with SQL Server Reporting Services (SSRS).

  • 1 Jahr und 5 Monate, Mai 2016 - Sep. 2017

    Business Development Account Manager

    Celfras Semiconductor Inc.

    - Preparation of internal and external reports, tax reports. - Analysis and interpretation of accounting information and financial statements. - Bookkeeping, organization and maintenance of financial records. - Optimization and planning. - Data analysis with SQL and Microsoft Excel.

Ausbildung von Daniel Kwon

  • 5 Jahre und 10 Monate, Sep. 2010 - Juni 2016

    investment and statistics

    Shanghai University of Finance and Economics

    Education was focused on mathematical statistics and its applications in finance and economics. Topics in Mathematical Statistics, Econometrics, Probability Theory, Stochastic Processes, Analysis of Time Series, Nonparametric and Bayesian Statistics , Option Pricing.

Sprachen

  • Koreanisch

    Muttersprache

  • Chinesisch

    Fließend

  • Englisch

    Gut

  • Deutsch

    Gut

Interessen

Music
Programming
Soccer
Theater
surfing

21 Mio. XING Mitglieder, von A bis Z