Genomic Data Scientist Resume
Rutgers, NJ
SUMMARY:
A self - motivated individual with a wide range of experience in data analysis and mathematical modeling. Able to analyze structured, semi-structured and unstructured data sets and have proven ability to handle multiple projects while meeting challenging deadlines.
TECHNICALSKILLS:
Programming Languages: Python, R, Matlab, FORTRAN, Shell Scripting.
Some experience: Perl, JavaScript, C++, Spark, Hadoop, Map Reduce.
Tools: Pandas,Matplotlib,Numpy,Scipy,Seaborn,BeautifulSoup,Scikit-learn,MySQL, Mongodb,SQLite,NLTK,KerasMonte Carlo Simulation, Markov Chain Process, Stochastic Simulation, Tableau, Jupyterlab,Jupyternotebook, IPythonnote book, Git, Git Hub, Heroku, Google cloud, server cluster.
Bioinformatics tools: Samtools, Bedtools,Picards,VCFtools,BCFtools.GATK,Biopython,Bioconductor.
EXPERIENCE:
Genomic Data Scientist
Confidential, Rutgers, NJ
Responsibilities:
- Analyzingandmodelinggenomicdatatounderstandtumorheterogeneityandevolution.
- Developed a hierarchical clustering model to classify tumor cohort into sub-types
- Developed an outlier/anomalydetectionmodeltoidentifyover-orunder-expressedgenesintumorcohort.
- Developedstochasticanddeterministicmodelfortumorcellsevolutionfromtimeseriesgenomicdata.
Research Technologist
Confidential, NY
Responsibilities:
- ModeledyeastcellspopulationevolutionusingMarkovchainMonteCarlosimulation.
- Developed a deterministicandstochasticdiscrete-statemodelforstudyingheterogeneityincellspopulation.
- Transformed raw data for further machine learning analysis.
- Used Python and Spark to scrape, clean, and analyze large datasets.
Graduate Research Assistant
Confidential, TX
Responsibilities:
- ModeledyeastcellpopulationevolutionusingMarkovchainMonteCarlosimulation.
- Developedbothdeterministicandstochasticdiscrete-statemodelforstudyingheterogeneouscellpopulation.
- Used Matlab to model system of differential equations for dynamical systems.
Research Assistant
Confidential, TX
Responsibilities:
- Teaching assistant for a variety of physics courses forunder graduate and graduate students.
- Conduct research on modeling superconductivity.
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