Graduate Research Assistant Resume

SUMMARY:

Well - qualified Research Scientist with more than six years Big data analytics, Machine learning, Computational physics, Scientific computing, Statistical modeling and Software development experience and excellent academic qualifications.
Author of many peer-reviewed Physics and Astrophysics journal articles.
Areas of expertise include Big data analytics, Machine Learning, Signal processing, Mathematical modelling and Predictive modeling.
Dedicated Researcher and Scientist with excellent technical, analytical and communication skills demonstrated by six years of experience.
Developed the first coherent search algorithm and software to search for astrophysical signals buried in large noisy data streams using known signal models.
Successfully tested the performance of the coherent search algorithms in large sets of non - stationary and non-Gaussian data using variety of machine learning methods.
Developed and tested statistical models for signal detections and parameter estimation in noisy data using likelihood and Bayesian statistics.
Achieved the maximum possible performance for the coherent search method with latest numerically generated signal models.
Developed the mathematical model for solar energy conversion in to work leading to multiple theoretical and experimental studies.
Signal processing, Machine Learning, Data Visualization, Numerical Analysis, Algorithms and Data Structures Finite difference methods, Bayesian statistics, Decision tree learning, Artificial neural networks, Predictive modelling Hypothesis analysis & Monte Carlo methods

Preparation of Diamond Anvil Cell (DAC) for high pressure measurements.
Raman spectroscopy measurements in static high pressure experiments.
Design and construction of Printed Circuit Boards (PCBs).
Teamwork & Management Experience
Participated in LIGO Scientific Collaboration (LSC) Data analysis activities.
Organized weekly meeting of Confidential relativity group (WSURG) with experts in other institutes.
Conducted summer physics undergraduate laboratories as the lead teaching assistant in 2010, 2011.
Maintained the software, hardware and experiment set - ups for undergraduate physics experiments.
Trained new graduate and undergraduate students.

COMPUTER SKILLS:

Programming Languages: Python, Ruby, Java, C, C++,, MATLAB, GNU Octave, Mathematica, R, SQL SQLite, Shell scripting, Bash, FreeFem++, SAS, Latex

Software Framework: HTCondor, Map/Reduce, Pig, Hadoop, Hive

Operating Systems: UNIX, Linux, Windows

Revision Control System: Git, SVN, CVS

PROFESSIONAL EXPERIENCE:

Graduate Research Assistant

Confidential

Responsibilities:

Developed gravitational-wave data analysis search pipeline and participated in data analysis activities leading to multiple publications.

Graduate Teaching Assistant

Confidential

Responsibilities:

Taught introductory level calculus and algebra based physics lab sessions for science and non-science majors.

Graduate Research Assistant

Confidential

Responsibilities:

Investigated high structural stability of single wall carbon nanotube under high pressures using Raman spectral measurements leading to a journal publication.

Millenium scholar

Confidential

Responsibilities:

Conducted graduate research work under prestigious Millenum Fellowship awarded to international graduate students.

Assistant Lecturer in Physics

Confidential

Responsibilities:

Worked as an instructor for introductory level physics courses and substitute lecturer for senior level physics courses.

Lead Lab Instructor in Physics

Confidential

Responsibilities:

Coordinate introductory level physics laboratories and manage teaching assistants.

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