CV

About Me

I started my programming journey during the Undergraduate Research Opportunity at Imperial College London. For the first time, I started writing code that made the data analysis part of research so much more fun and efficient, and thus, never stopped since. To improve my programming skills, I decided to focus on working on a Computational Chemistry project for my Bachelor’s Thesis. Later, combining my passion in biology and programming, I then enrolled myself into the Integrated Life Science program at FAU. There, I met a bunch of talented students and even managed to work together with a group of Data Scientists/Software Engineers at the Guck Lab. I also worked as a Data Analyst now in the semiconductor manufacturing industry, in the quality assurance department. I am currently enrolled in a 15-month Trainee program, which allows me to do rotations to different departments through the perspective of data analytics & AI. Check out my CV below to see the projects and experiences I’ve accumulated so far!

My technology stack:
(Data Science/Analysis) SQL, OpenCV, pandas, numpy, scikit-learn, Pydantic, matplotlib, Json
(Software Engineering) Flask, Bootstrap, Qt, unit-testing, argparse, setuptools, HTML, Javascript, React

Work experience

Global Trainee in Advanced Analytics & AI
MAN Truck & Bus SE
Production & Logistics
2024 - Current

  • First rotation: Digital Production Lab (Production & Logistics)

extra-curriculum:

  • Training programs in “Constructive Conflict Management”, “Rhethorically Fit” and “Pyramidal Presentation before Decision-Makers”

Data Analyst in Production
SiCrystal GmbH, Nürnberg
Quality Assurance Department
2023 - 2024

  • Develop PyQt desktop application using to extract thousands of images in an automated way for regular quality checks
  • Use OpenCV to extract surface texture information to analyse surface wafer defects - basal plane dislocation
  • Data transformation and standardization process to make data (that is ready to analyse) available for rest of the organisation
  • Statistical modelling, verify old models
  • Setting up databases in MSSQL Server
  • Old python (web) applications upgrade and maintenance.
  • Setting up test code to facilitate data exchange (ensure data type and history consistency) with parent company

Working Student
Siemens Healthineers, Erlangen
Cash and Asset Management Department
2021 - 2022

  • Developed a dashboard with an interactive app embedded in it using PowerBI and PowerApps for financial reporting.
  • App is used to reach 48 zone representatives sitting across the globe.
  • Automate calculation of quarterly indirect cash flow statement reports using Python to be displayed on the dashboard.
  • Script saved many hours of meetings every quarterly for the team at the headquarters.


Education

MSc. Integrated Life Science
Friedrich Alexander Universität Erlangen-Nürnberg, Erlangen, Germany

Focus: Mathematical modelling and Systems Biology + Biological Structure and Processes
Projects/Modules I was particularly interested in: Membrane simulation, Genomics, Random Walk Model
Master Thesis focus: Classification models (Random Forests, Linear Support Vectors), dimension reduction techniques (UMAP, PCA) and Fourier Descriptors

See my work:


BSc. Chemistry, Honors
National University of Singapore, Singapore

Focus: Research methodologies, statical analysis of collected data, Physical chemistry, inorganic chemistry
Bachelor Thesis focus: Computational Chemistry, Finite difference method, High Performance Computing