Experience

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  北京安信卓越信息科技有限公司

  Jun 2017 - Dec 2017

  Java-web software engineer

  Mainly took charge of the organization of the corresponding forum sections and the design and framework of the webpage background program. The overall web project adopts the enterprise-level SpringMVC design framework

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  Nanjing university of technology

  Jun 2018 - Jul 2019

  Research assistant at the “the robotics lab”

  Mainly focusing on the application of machine learning and deep learning techniques to interactive visual analysis of functional brain connectivity and engaged in interdisciplinary applications with math and neuroscience on the NAO Robotics and modelling simulation

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  Jsti group

  Jul 2018 - Dec 2018

  Data analysis intern

  I was mainly responsible for the demand research, data analysis and data mining models of the company's product projects. Through the analysis of the data, I learnt how to figure out the implicit rules and predictions of future data trends.

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  Ludwig-maximilians-universität münchen

  Dec 2019 - Oct 2021

  Chair of Statistics and Data Science for the Social Sciences and Humanities at LMU.- Co-developed the “CTIS” R package, a R based global COVID19 trends of microdata and opendata API- Translated the workbooks for Big Data and Social Science from Python to R- Updating the chair website, Preparation of slides and exercises Student Assistant at the Department of Statistics (LMU) and mainly taking charge of- Communication with applicants including coordinating stuffs and sorting mails- Student support (Mainly for MSc. Data Science)- Data Science (M.Sc.) homepage design- Support for Conferences (German Data Science Day)

  • Student/Research Assistant

    Apr 2021 - Oct 2021

  • Student Assistant

    Dec 2019 - Sept 2021
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  Alexander thamm gmbh

  Sept 2021 - Feb 2022

  Data scientist

  With a purpose to mimic and quantify visual distortion effects on medical imaging, we are carrying out a project using DNNs to study on the impact of controlled label noises in Object Detection- Implemented experiments with SSD300 and SSD512- 100% correctly labelled data from an manually-defined data generator- Studying model's resistance to random label noise- Comparing image classes' sensitivity to random false labelling- Analyzing the relationship between false label ratio and test performance (mostly mAP) Show less

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  Allianz

  Apr 2022 - Dec 2022

  Data engineer

  Mainly took part in the project of developing the OCS-API, which sends recommendations for potential customers through the "Meine Allianz" App- Responsible for developing data harvesters, data belts and taking care of the databases- Responsible for conducting Production Control (discovering abnormals)- Responsible for code refactoring

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  Ludwig-maximilians-universität münchen

  Sept 2022 - Feb 2023

  Master thesis

  Topic: Synthetic Data Generation and Utility Evaluation for the COVID-19 Data- Generated synthetic COVID-19 datasets using parametric, non-parametric methods, andGenerator Network based algorithm- Assessed synthetic data quality in terms of utility, ML practicability, and risk analysis- Achievement: Designed and implemented an innovative 4-step synthetic data generationand evaluation framework, showcasing CART’s ability to reliably produce data synthesis

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  Allianz

  May 2023 - now

  Data engineer & analyst

  - Large-Scale Data Pipelines: Build and maintain pipelines using AWS Glue, Snowflake, dbt, and Flink to deliver near-real-time insights across Allianz.- Workflow Automation: Streamline processes with Jenkins (CI/CD) and Camunda, reducing manual effort and improving deployment efficiency.- Interactive Dashboards: Create data visualizations in Tableau, R Shiny, and Power BI to turn raw data into actionable insights.- Monitoring & Alerts: Set up proactive monitoring with Grafana, enabling quick incident response and smoother operations.- Business Impact: Combine technical expertise with analytics to drive data-informed decisions and enhance operational efficiency. Show less