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Expert Data Scientist/sr. Sw Developer Resume

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Herndon, VA

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SUMMARY:

Develop engineering code to implement machine learning algorithms using over six years of Software Development experience and expert - level knowledge of C, C++, Hadoop, Scala, Python, R, Java and SQL.

COMPUTER SKILLS:

Languages: C, C++, Hadoop, Scala, Python, R, SQL, Java, Perl, SAS

APIs: OpenCV, Eigen, PCL, Boost, Dlib, Spark, numpy, pandas, scikit, Caffe, TensorFlow

PROFESSIONAL EXPERIENCE:

Confidential, Herndon, VA

Expert Data Scientist/Sr. SW Developer

Responsibilities:

  • Develop customized deep learning applications showcasing pattern recognition, pose estimation and object detection capabilities with image processing, CNN and Fourier transformations, implementing all stages of SDLC for seamless backend integration
  • Engineer high-quality SW with Valgrind and Lint profilers to prevent buffer overflows, race conditions and heap memory leaks. Investigate core dumps and system calls with gdb, strace and disassembler to backtrace stack frames and x86 register values at different timeslices
  • Create code to analyze big data in text, numeric and image formats using semantic mining, nlp, regression, clustering and classification algorithms, custom data structures and multithreading for real-time execution and scalability with embedded and distributed systems

Confidential, Urbana, IL

Researcher

Responsibilities:

  • Created software to execute algorithms with template metaprogramming, heap allocation, pointer arithmetic, dynamic polymorphism and mutex lock thread synchronization
  • Wrote ML applications for entity extraction, microarray normalization, lemmatization and sentiment analysis using deep RNN, Bayesian nets, SVM and Hidden Markov Models
  • Developed scalable code based on PCA, Decision Trees, OLS and Ridge Linear Regression, Random Forest, ANOVA, LDA and K-Means Clustering algorithms

Confidential, Washington, DC

Researcher

Responsibilities:

  • Worked on pattern analysis of covaried data features
  • Developed R programs to implement clustered heatmap algorithms of large datasets

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