Abhishek Chattopadhyay

- Computed aqueous solubility of alkali halides using molecular dynamics simulation and Python, enhancing understanding of material behaviours. - Automated data processing and analysis workflows by leveraging Python and Linux Bash scripts, increasing project efficiency. - Mastered data visualization and analysis with Matplotlib, Seaborn, and Excel, providing actionable insights for research projects. - Supervised bachelor theses and managed research group website and high-performance cluster.

- 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.

10-week full time Bootcamp (+400h) at Ironhack. Week 0: Data & Machine Learning Prework (Python, Probability & Statistics, Git & Github) Week 1: Python Fundamentals Week 2: Data Manipulation & Exploratory Data Analysis (EDA) Week 3: Databases & SQL Week 4: Statistics & Machine Learning Week 5: Machine Learning & Deep Learning Week 6: Cloud & Generative AI (GenAI) Week 7: Natural Language Processing (NLP) Week 8: Computer Vision Week 9: Final Project