Expertise in Machine Learning and Data Analysis. Modeling and simulation skills in Computational Material Science. Data-drive material discovery
Aktualisiert am 18.04.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 18.04.2024
Verfügbar zu: 100%
davon vor Ort: 100%
Big Data Analytics
Machine Learning
Deep Learning
Deep Neural Network
Analysefähigkeit
C++17
Python
MATLAB
Bourne-again-shell
Urdu
Muttersprache
English
Fluent
German
B1

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 years 10 months
2021-09 - now

Study sequence property

Post Doctoral Researcher Pytorch Tensorflow Keras ...
Post Doctoral Researcher
  • Study sequence property correlations using various neural network architectures such as Feed Forward, Gated Recurrent Unit (GRU) and Transformer.
  • Using data of various sequence lengths (N), the objective is not only to learn sequenceproperty correlations for chosen N, but to extrapolate the relationship to arbitary N.
  • These correlations are studied in various systems: (a) polymer sequence and its free energy interactions with lipid bilayer membrane, (b) heterogenous nano-particle chains and its planewave spectra, (c) coarse grained energy to distance relationships in protein like systems.
Pytorch Tensorflow Keras Scikit-learn Numpy SciPy Matplotlib Seaborn
IPF
Dresden
5 years 1 month
2015-11 - 2020-11

polymeric systems

Ph.D. Student
Ph.D. Student
  • Wrote an in-house code in C++ to study computational loading experiments
  • The aim was to study the deformation behavior of different coordinated polymeric systems
  • I used Python extensively for data analysis and visualization
University
Vienna, Austria
1 year 5 months
2014-05 - 2015-09

Various Projects

Research Assistant
Research Assistant
Interdisciplinary Centre for Advanced Materials Simulation (ICAMS)
Bochum
1 year 9 months
2011-01 - 2012-09

Various Projects

Assistant Manager
Assistant Manager
R & D Department, People Steel Mills Limited
Karachi, Pakistan

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years
2013-10 - 2015-09

Material Science & Simulation, ICAMS ? RUB

Master in Science (M.Sc), Ruhr Universität Bochum, Bochum, Germany
Master in Science (M.Sc)
Ruhr Universität Bochum, Bochum, Germany
Master thesis on request
4 years
2007-01 - 2010-12

Material Science

Bachelor, NED University, Karachi, Pakistan
Bachelor
NED University, Karachi, Pakistan

Kompetenzen

Kompetenzen

Top-Skills

Big Data Analytics Machine Learning Deep Learning Deep Neural Network Analysefähigkeit C++17 Python MATLAB Bourne-again-shell

Produkte / Standards / Erfahrungen / Methoden

Data Science Profile
  • Modeling and visualization with C++, Python, MATLAB, Tableau and Excel.
  • Comprehensive knowledge of machine and deep learning algorithms.
  • Good knowledge of Pytorch, TensorFlow, Scikit-learn (ML libraries/frameworks)
  • Good skills in SQL and good overview of various database management systems.
  • Great passion to solve data associated problems and challenges.
  • Excellent communication skills (including oral and written).


Skills

Data Visualization:

  • Excel 
  • Python 
  • Gnuplot 
  • Tableau 


Software:

  • MATLAB 
  • Abaqus 
  • LAMMPS 
  • GROMACS 


ML library/Framework:

  • Pytorch
  • TensorFlow 
  • Scikit-learn


High Performance Computing (HPC):

  • MPI 
  • Open-MP 
  • CUDA 


Reporting:

  • Open/MS-Office
  • LaTeX


Version Control Tool:

  • Git


Teaching Experience

2022 - 2023

Customer: TU Dresden 


Tasks:

  • Computational soft matter physics and machine learning


2019 - 2019

Customer: Wien Universität


Tasks:

Challenges in Research I: Presentaion skills


2018 - 2018

Customer: Wien Universität 


Tasks:

  • Visualization with Python for Bachelor & Master Student

Programmiersprachen

C++
Fortgeschritten
Python
Fortgeschritten
Bash
Intermediate
MATLAB
Experte
PyTorch
Experte
TensorFlow
Experte
SQL
Experte
C
Fortgeschritten
R
Basics

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 years 10 months
2021-09 - now

Study sequence property

Post Doctoral Researcher Pytorch Tensorflow Keras ...
Post Doctoral Researcher
  • Study sequence property correlations using various neural network architectures such as Feed Forward, Gated Recurrent Unit (GRU) and Transformer.
  • Using data of various sequence lengths (N), the objective is not only to learn sequenceproperty correlations for chosen N, but to extrapolate the relationship to arbitary N.
  • These correlations are studied in various systems: (a) polymer sequence and its free energy interactions with lipid bilayer membrane, (b) heterogenous nano-particle chains and its planewave spectra, (c) coarse grained energy to distance relationships in protein like systems.
Pytorch Tensorflow Keras Scikit-learn Numpy SciPy Matplotlib Seaborn
IPF
Dresden
5 years 1 month
2015-11 - 2020-11

polymeric systems

Ph.D. Student
Ph.D. Student
  • Wrote an in-house code in C++ to study computational loading experiments
  • The aim was to study the deformation behavior of different coordinated polymeric systems
  • I used Python extensively for data analysis and visualization
University
Vienna, Austria
1 year 5 months
2014-05 - 2015-09

Various Projects

Research Assistant
Research Assistant
Interdisciplinary Centre for Advanced Materials Simulation (ICAMS)
Bochum
1 year 9 months
2011-01 - 2012-09

Various Projects

Assistant Manager
Assistant Manager
R & D Department, People Steel Mills Limited
Karachi, Pakistan

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years
2013-10 - 2015-09

Material Science & Simulation, ICAMS ? RUB

Master in Science (M.Sc), Ruhr Universität Bochum, Bochum, Germany
Master in Science (M.Sc)
Ruhr Universität Bochum, Bochum, Germany
Master thesis on request
4 years
2007-01 - 2010-12

Material Science

Bachelor, NED University, Karachi, Pakistan
Bachelor
NED University, Karachi, Pakistan

Kompetenzen

Kompetenzen

Top-Skills

Big Data Analytics Machine Learning Deep Learning Deep Neural Network Analysefähigkeit C++17 Python MATLAB Bourne-again-shell

Produkte / Standards / Erfahrungen / Methoden

Data Science Profile
  • Modeling and visualization with C++, Python, MATLAB, Tableau and Excel.
  • Comprehensive knowledge of machine and deep learning algorithms.
  • Good knowledge of Pytorch, TensorFlow, Scikit-learn (ML libraries/frameworks)
  • Good skills in SQL and good overview of various database management systems.
  • Great passion to solve data associated problems and challenges.
  • Excellent communication skills (including oral and written).


Skills

Data Visualization:

  • Excel 
  • Python 
  • Gnuplot 
  • Tableau 


Software:

  • MATLAB 
  • Abaqus 
  • LAMMPS 
  • GROMACS 


ML library/Framework:

  • Pytorch
  • TensorFlow 
  • Scikit-learn


High Performance Computing (HPC):

  • MPI 
  • Open-MP 
  • CUDA 


Reporting:

  • Open/MS-Office
  • LaTeX


Version Control Tool:

  • Git


Teaching Experience

2022 - 2023

Customer: TU Dresden 


Tasks:

  • Computational soft matter physics and machine learning


2019 - 2019

Customer: Wien Universität


Tasks:

Challenges in Research I: Presentaion skills


2018 - 2018

Customer: Wien Universität 


Tasks:

  • Visualization with Python for Bachelor & Master Student

Programmiersprachen

C++
Fortgeschritten
Python
Fortgeschritten
Bash
Intermediate
MATLAB
Experte
PyTorch
Experte
TensorFlow
Experte
SQL
Experte
C
Fortgeschritten
R
Basics

Vertrauen Sie auf Randstad

Im Bereich Freelancing
Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

Fragen?

Rufen Sie uns an +49 89 500316-300 oder schreiben Sie uns:

Das Freelancer-Portal

Direktester geht's nicht! Ganz einfach Freelancer finden und direkt Kontakt aufnehmen.