Description

As a researcher in Computational Physical Chemistry, I bring a unique blend of rigorous scientific training and advanced analytical skills to the fields of data science and data analytics. My expertise in leveraging computational methods to solve complex chemical problems equips me with a robust foundation for tackling data-driven challenges and providing strategic insights. An effective collaborator with outstanding organizational skills, committed to cultivating a productive atmosphere of sustainability, cooperation, and growth.

Industry field of expertise

Languages

English
Native or bilingual
German
Conversational

Workplace preferences

Can work on-site

Darmstadt (up to 50km)

Technische Universität
Scientific Research Assistant
October 2021 - Today (4 years and 8 months)
64 Darmstadt, Germany
• Applied molecular dynamics simulation (using GROMACS) and Python to investigate aqueous solubility of alkali halides, enhancing understanding of material behaviors.
• Automated data processing and analysis workflows using Python and Linux Bash scripts, increasing project efficiency.
• Mastered data visualization and analysis using Matplotlib, Seaborn, and Power BI, providing actionable insights for research projects.
• Supervised bachelor theses and managed research group website and high-performance cluster.
Ruhr-Universität
Research Assistant
November 2019 - October 2020 (11 months)
44 Bochum, Germany
• Conducted simulations and data analytics on graphene-confined electrolyte solutions using GROMACS, contributing to advancements in material science.
• Interpreted complex simulation data to support research objectives, improving understanding of electrochemical systems.
Indian Institute of Technology
Summer Intern
May 2019 - June 2019 (1 month)
Kanpur, Uttar Pradesh, India
• Investigated the stability of amyloid beta(1-42) secondary structure in aqueous urea solutions, supporting research on protein thermodynamics.