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Skillful Postdoctoral Fellow resume

Joshua Rosenberg
Mathematics phd student expecting to graduate within one year.  Have spent several years doing research in discrete probability.  Posses excellent quantitative skills and love solving quantitative problems.  Eager to apply these skills in a practical real world environment.
  • Java (proficient)
  • C++ (learning)
  • Latex (proficient)
  • Stochastic calculus (proficient)
  • Excellent communication skills
  • Analytical
  • Tenacious problem solver
  • Dedicated
Research papers:
- "The frog model with drift on R" , 2016  (submitted to Electronic Communications in Probability).
- "Recurrence of the frog model on the 3,2-alternating tree", 2017 (posted on the mathematical arxiv).
- Juan Carlos Merlo prize for excellence in mathematics (Umass Boston, 2012)
- Scored 40 points on the Putnam exam and achieved a rank of 201.5 out of more than 3500 participants (2008)
mathematics tutor
September 2008 to May 2012
Umass Boston Boston, MA I worked in the academic support services center tutoring other students in calculus, algebra, and statistics.
Teaching fellow
September 2014 to Current
Upenn Philadelphia, PA I have run recitations and served as a grader for undergraduate and graduate classes in calculus, probability, game theory, and analysis.
Bachelor of Science : mathematics, 2012 Umass Boston Boston, MA, United States I graduated suma cun laude.
Ph.D. : mathematics Upenn Philadelphia, PA, Unites States I am working on my dissertation and expect to graduate in the winter of 2017.
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Professional Summary

Motivated data scientist with a Ph.D. in computational astrophysics and machine learning certificate from Stanford University. Six years of experience in algorithmic solutions, programming, and predictive analysis. Proficient in big data technologies with a strong math and statistics background. Passionate about explaining data science to non-technical business audiences. Works well under pressure both individually and as part of a team. Seeking an opportunity to drive business effectiveness through making recommendations based on data findings.

  • Machine Learning and Statistical Methods: Supervised and unsupervised learning, linear regression, logistic regression, neural network, decision boundary, decision trees, support vector machines, k-nearest neighbour, random forest, naive bayes, clustering (K-means), dimensionality reduction, anomaly detection, recommender systems, online learning, map-reduce, data-parallelism, hypothesis testing and confidence intervals, time series analysis, predictive and behaviour modelling, forward and back-propagation, extrapolation, Monte-Carlo method, principal component analysis, data cleansing and distribution, and stochastic differential equations.

  • Software and Programming Languages: Advanced programming skills with six years of experience in Python (pandas, scikit-learn, matplotlib, seaborn, NumPy, SciPy, gensim), R, C, C++, Matlab, and Shell scripting. Proficient in parallel programming, high performance computing (frequent Compute-Canada user), and three years of hands-on experience using Hadoop big data processing and clustering ecosystem including HDFS, HBase, Spark, Hive, Pig, Impala, Hue, Oozie, Flume, Sqoop, Mahout, and Zookeeper. Expert in visual analytic tools with two years of experience using Tableau and Paraview. Knowledgeable in database management systems with three years of experience in SQL (MySQL, PostgreSQL, T-SQL, SQLite). Skilled user of different operating systems such as Linux, macOS, and Windows. Daily user of LaTex, Microsoft Excel, and PowerPoint.

  • Selected Coursework: Machine Learning (Stanford University), Hadoop Platform (University of California at San Diego), Algorithms and Programming (5 courses), Numerical Analysis, Visual Analytics, Linear Algebra, Probability and Statistics, Random Matrix Theory, Stochastic Processes, and Stochastic Simulation.
Ph.D.: Computational Astrophysics, 2017
University of Manitoba - Winnipeg, Canada
  • Recipient of the Faculty of Science Scholarship
  • GPA 4.25/4.5
  • Awarded with distinction

Master of Science: Computational Astrophysics , 2012
University of Manchester - Manchester, United Kingdom
  •  Recipient of the Excellence in Research Scholarship
  • Awarded with distinction

Bachelor of Science: Physics, 2011
Lebanese University - Beirut, Lebanon
  • Top 5% of class
  • Recipient of the Undergraduate Studies Student Achievement Award 
  • Advanced Machine Learning - Stanford University - 2017

  • Hadoop Platform and Application Framework - University of California at San Diego - 2017

  • Data Science in Python Pandas - University of Michigan - 2017

  • Applied Plotting, Charting & Data Representation in Python - University of Michigan - 2017

  • Applied Machine Learning in Python - University of Michigan - 2017


  • Google Cloud Platform Big Data and Machine Learning Fundamentals - Google Cloud - 2017

  • SQL: Introduction, Table transformation, and Analyzing Business Metrics - CodeCademy - 2017  
Work History
Research Fellow and Teaching Assistant , 09/2012 to Current
University of Manitoba Winnipeg, Canada
  • Coded, tested, debugged, and implemented hundreds of scripts using R, Python, C++, Shell, and Matlab. 
  • Generated, analyzed, and stored terabyte datasets on local and remote machines across Canada.
  • Wrote Shell scripts to facilitate code-to-code communication in Linux for different programming languages.
  • Implemented innovative systems for data collection, storage, and distribution using big data technologies (Hadoop ecosystem).
  • Accelerated the processing of large-scale unstructured data using Spark via multi-stage in-memory primitives. 
  • Used Tableau for state-of-the-art data visualization and (Tableau-server+R) for complex data analysis (linear and non-linear regression). 
  • Mastered time series analysis and Monte-Carlo methods to predict statistical behaviour and compared modelling results to probability theory.
  • Wrote numerical optimization routine in R for dimensionality reduction (search for dimensions and parameters that are irrelevant in any dataset). 
  • Composed pipelines using Paraview+Python for data visualization and animations.
  • Utilized Compute-Canada high-performance computational facility for parallel/series numerical simulations. 
  • Applied operational queries in SQL to manage, sort, and extract information from data held in relational databases.   
  • Published nine papers in top scientific journals in the field of data science and computational astrophysics (excellent documentation skills using LaTex).
  • Attended and presented at eight national and international conferences in the field of computational astrophysics.
  • Modified existing codes to correct errors, adapt to new hardware and improve performance.
  • Assisted in teaching introductory physics courses to first and second year undergraduate students.
  • Supervised and evaluated students' laboratory work.
  • Served on four university committees and acted as chair of the Physics and Astronomy Outreach Committee.
  • Guided students in using technology to support educational research.

Research Assistant and Tutor, 09/2011 to 09/2012
University of Manchester Manchester, United Kingdom
  • Ran hundreds of comprehensive simulations on supercomputers across the UK using big data techniques. 
  • Coordinated statistical data analysis, design, and information flow.
  • Taught introductory courses in math and physics to first-year undergraduate students.
  • Supervised and evaluated students' laboratory work.

Tutor and Teaching Assitant , 09/2010 to 06/2011
Lebanese University, Hadath Campus Beirut, Lebanon
  • Tutor of Math and Physics for first and second year undergraduate students
  • Supervised and graded students laboratory work in C++ programming 


Lab Instructor, 09/2009 to 07/2010
Beirut International School Bchamoun, Lebanon
  • Prepared, instructed, and supervised high school physics labs 
  • Successfully improved student participation in the laboratory work through integration of creative role-playing experiments.
  • Introduced special outreach programs to department chair in effort to increase institution's interest in community service.
Selected Publications
  • Heusen, M., Shalchi, A., "Numerical test of analytical theories for perpendicular diffusion in small Kubo number turbulence", The Astrophysical Journal, April 2017 
  • Heusen, M., Shalchi, A., "Simulations of energetic particles interacting with nonlinear anisotropic dynamical turbulence", Astrophysics and Space Science Journal, August 2016
  • Heusen, M., Shalchi, A., "Detailed numerical investigation of the Bohm limit in cosmic ray diffusion theory", The Astrophysical Journal, January 2014 
Selected Presentations
  • "Investigating cosmic ray transport using supercomputers", International Cosmic Ray Conference, The Hague, Netherlands, August 2015 
  • "Big data for solar physics", The Big data workshop, University of Manitoba, Winnipeg, Canada, Feb. 2015
  • "Solar storms mining using numerical simulations", The American Geophysical Union Meeting, San Francisco, USA, December 2014

Local Organizing Committee, Canadian Astronomical Society Meeting, Winnipeg, May 2016

  • Overwhelming experience spanned over eight months of preparations.
  • Boosted my networking, fundraising, team working, decision making, prioritizing, and organizational skills.


Graduate Student Organizing Committee, UK National Astronomy Meeting, Manchester, July 2012

  • Duties include: chairing scientific sessions, preparing material for conference delegates, and guiding and information.
Selected Public Outreach Activities
  • Organizer and regular speaker of the monthly open houses at the Ewen observatory and the Lockhart planetarium hosted jointly by the Department of Physics and Astronomy at the University of Manitoba and Royal Astronomical Society of Canada (September 2014 - January 2017)
  • Invited guest speaker at the monthly meeting of the Royal Astronomical Society of Canada - Winnipeg Chapter (February 2015)
  • Organizer and demonstrator at the annual Science Rendezvous event - the largest science festival in Canada - running dozens of demonstrations and operating sessions to introduce physics and astronomy to the general public (every second week of May since 2013)
  • Co-host and guide at the Jodrell Bank Centre for Astrophysics public engagement series performing regular experiments and setting up telescopes for the public at the museum of science and industry in Manchester city, UK (September 2011 - September 2012)
Personal Information
  • Permanent resident of Canada 
  • Date of Birth: 14/03/1991
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Experienced Postdoctoral Fellow resume

Syreetta Taybron
Professional Educator License, Expected July 2018
  • Social Studies,- Grade 6 through 8
  • Student Motivation, Classroom Management
  • Team Teaching Approach, Creative Lesson Plan Developement
  • Curriculum Development, Positive Atmosphere Promotion 
  • Technology Integration 
Teaching Related Experience
After School Teacher Assistant, Newell Elementary School, Grades K-5, Charlotte, NC 1995-1998
  • Facilitated child-centered learning through creative activities and independent exploration
  • Created and inviting and stimulating environment through thoughtful interactive classroom set-up
  • Assisted children with homework
  • Communicated with parents on a daily basis of child's progress and activities participated in for the day
After school ​Lead Teacher, Greenway Park Elementary School, Grade 5, Charlotte, NC 1998-1999
  • Developed lesson plans encouraging creativity, social skills and critical thinking skills
  • Executed classroom management through positive reinforcement and keeping students on task
  • Tutored students on various subjects
Education and Training
2012 North Carolina Central University Durham, NC, United States Bachelor of Arts Political Science
GPA 3.34
Member Pi Sigma Alpha Honor Society
Teaching Fellow, 05/2013 08/2013 TNTP Academy Atlanta, GA
  • Admitted to a highly selective cohort of recent college graduates and career changers committed to raising student achievement in Greater Atlanta's highest need schools
  • Participated in five-week summer training, including a three-week student teaching experience with students in Fulton County Schools
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