Kai Becker
Statistical Consultant at Statistisches Beratungslabor (StaBLab) - Ludwig-Maximilians-Universität- Claim this Profile
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Chinesisch Full professional proficiency
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Deutsch Native or bilingual proficiency
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Englisch Full professional proficiency
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Credentials
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HSK 汉语水平考试 Level 6 (C2)
Hanban Confucius Institute
Experience
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Statistisches Beratungslabor (StaBLab) - Ludwig-Maximilians-Universität
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Germany
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Research Services
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1 - 100 Employee
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Statistical Consultant
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Oct 2021 - Present
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Oliver Wyman
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United States
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Business Consulting and Services
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700 & Above Employee
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Intern - Data & Analytics
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Mar 2021 - Jun 2021
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KPMG
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Brazil
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Construction
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Intern - Alliance Management
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Sep 2020 - Oct 2020
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Consulting Intern - Data & Analytics
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Oct 2019 - Feb 2020
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Center for Evaluation and Development (C4ED)
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Germany
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Research
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1 - 100 Employee
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Research Assistant
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Feb 2019 - Sep 2019
Tasks:▪ Follow-up and monitor implementation of impact evaluation projects (data cleaning, data processing,reporting)▪ Data analysis with Stata and R▪ Coordination and support of data collection Tasks:▪ Follow-up and monitor implementation of impact evaluation projects (data cleaning, data processing,reporting)▪ Data analysis with Stata and R▪ Coordination and support of data collection
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Commerzbank AG
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Germany
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Banking
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700 & Above Employee
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Internship
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Jun 2018 - Sep 2018
Development and implementation of the automatic process for the transactional risk calculation in frame of KYC (Customer Due Diligence) methodology. In scope are all foreign units/branches of the Commerzbank. This task includes:- Development of the SQL code (Oracle SQL Developer) for an automatic extraction of transactional data from Data Warehouses, aggregation of the data and code optimization to reduce running time - implementation and coding of the data mapping needed to reconstruct transactional details- Aggregation of automatically extracted data together with manually provided data into final reports in SAS BI. Extraction of the additional static data from Data Lake. Creation of the indexes as well as optimization of the table structures to reduce running time- Development and limited testing of production code in SAS BI which is planned to be used in future for the transactional risk calculation Following results were reached: reduction of required number of man/days for process execution, significant reduction of manual work and reduction of action needed for data quality control.Ongoing support of the supervisor as well as department team in daily tasks: data extraction from DWHs, creation of the reports in SAS BI, analysis of the text fields in SWIFT messages and etc.
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Universität Mannheim
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Germany
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1 - 100 Employee
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Teaching Assistant for Linear Algebra
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Sep 2017 - Feb 2018
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Education
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Ludwig-Maximilians Universität München
Master of Science - MS, Statistics -
Universität Mannheim
Bachelor of Science - BS, Economics -
Tsinghua University
Semester Abroad, Economics -
华中科技大学
Chinese Studies