Data Scientist building machine learning powered applications for E-mobility in Daimler Trucks & Buses.
I currently work at Daimler Trucks & Buses in Autonomous Trucks Group, developing tools to aid in analysis of autonomous driving.
I am interested in solving business problems using machine learning algorithms.
Here's a list of some of my projects.
My work can be grouped in a number of subjects.
I explore data to achieve data understanding and identify relationships.
tGenerating models using machine learning algorithms to aid business solutions.
Design of proof of concept systems for business problems to show feasibility.
Technical implementation of solutions and services.
Consulting the use of machine learning and artificial intelligence to solve specific use cases.
Supervising interns and students
Responsibilities:
Developing tools to aid in automated data analysis for autonomous trucks.
Technical Implementation of a digital service for city buses to predict total range of electrical buses using machine learning algorithms.
Proof of Concept applications involving use of machine learning algorithms.
Supervision of interns and students.
Worked at Daimler Buses in Connectivity Department.
Responsibilities:
Proof of Concept applications involving use of Machine Learning algorithms.
Worked in multiple research projects both independently and in collaboration.
Analyzed the mechanisms for cononsolvency of PNIPAM in water/methanol solutions,
ion effects at aqueous surfaces, coarse-grain models of polymer transitions.
Responsibilities:
Carrying out research projects to understand behaviors of polymers and ions at surfaces
Aided teaching for courses such as Computer Applications in Chemistry and Physical Chemistry
Supervised PhD, Master, and Bachelor students
Studied peptide folding in different environments, and
analyzed the underlying
driving forces, developed working two-state
coarse-grain models
for short peptides that adopt different secondary structures
in different environments
Responsibilities:
Carried out research projects to understand polymer folding.
Supervised Master and Bachelor students with their research projects.
Helped organize teaching for a computational chemistry course, prepared tutorials.
Computational Sciences & Engineering
Analyzed protein folding mechanisms using large scale simulations,
calculated free energies using advanced sampling techniques.
Studied environment dependent structural behavior of short peptides,
developed working models of environment-induced conformational transition
displayed folding mechanism of a synthetic leucine-lysine peptide
Materials Science & Engineering
Synthesized & processed films to improve barrier properties.
Developed PET films with enhanced barrier properties using, processed them using twin screw extrusion and
film casting, applied a number of material characterization techniques to determine their physical and chemical properties .
Materials Science & Engineering
Developed an epoxy resin with clay mixture with enhanced mechanical properties for paint coatings that can be cured by ultraviolet light to save energy, measured the mechanical and optical properties of the coating using a number of characterization techniques.