M. Tahir

I am a computational and mathematical material scientist and condensed matter physicist. My specialized interests include nanotechnology, thermoelectric, solar energy conversion, heat to electrical energy conversion and catalysis, quantum computation and information processing technology. In academia, I am engaged in a variety of research activities, where I have acquired many numerical tools that are equally useful in data science and machine learning. Throughout my career I have taken advantage of various research and teaching opportunities in Physics, including Colorado State University (USA), Concordia University (Canada), KAUST (Saudi Arabia) and Imperial College London (UK), where I worked to explain quantum many-body phenomena and light-matter interactions in low-dimensional systems (quantum computation and information processing). SKILLS & EXPERTISE (DataCamp Certified): 1. Extensive and proficient use of Python (Numpy, Scipy, Matplotlib, Scikit-Learn, Pandas) 2. Experience of machine learning algorithms (Supervised, Unsupervised and Deep Learning). 3. General Data Science: data extraction, cleaning, manipulation, visualization, Statistical analysis: stats models, hypothesis testing 4. Databases and Big Data tools: SQL, Hadoop, Spark 5. Other programming languages: FORTRAN, C++, Mathematica, Matlab