Jessica Claire
Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
Home: (555) 432-1000 - Cell: - - -
Professional Summary

Data Scientist with 3 years of experience creating machine learning models and retraining systems and transforming data science prototypes to production-grade solutions. Consistently optimizes and improves NLP systems by evaluating strategies and testing changes in machine learning models. Overall 6 years years software industry experience with a Masters in Computer Science.

  • End-to-End Machine Learning expertise
  • Deep Learning
  • Software Engineering
  • Researching and building quick prototypes
  • Natural Language Processing
  • AWS
  • System Design and Databases
  • Deploying machine learning models to production
Work History
10/2017 to Current
Machine Learning NLP Engineer Lockheed Martin Corporation Fort Meade, MD,
  • Instrumental in researching, prototyping, designing, implementing and evaluating machine learning models for the Automatic Essay Scoring System engine of the Pearson Knowledge Technologies.
  • Digging deep into the millions of data records and performing data exploratory analysis using interactive Jupyter notebooks using pandas/numpy/matplotlib and presented the findings to the managers.
  • Researched, prototyped (from research papers), built features and optimized(hyper-parameter tuning) the state-of-the-art machine learning and deep learning techniques like SVM, Logistic Regression, Random Forest regression, LSTM, CNN etc., using scikit-Learn, keras, tensorflow on CPU/GPU environments for student text-classification.
  • Containerized(Docker) and Deployed the re-producable machine learning models into production through Jenkins CI/CD orchestration onto AWS ECR Repositories/S3-artifacts/k8s after code reviews in an agile process.
  • Automated the data science platform by building and managing data pipelines and extensions that bridges NoSQL-databases, APIs, Machine Learning Engine and UIs.
  • Applied various transfer-learning techniques using pre-trained word-embeddings like Glove, fastText, Glove, BERT, ELmo, Universal Sentence Encoder for text similarity tasks.
  • Developed/Tested/Maintained internal text-processing libraries using nltk and spacy.
  • Business problems solved: Identifying suicidal tendency, plagiarism, grammatical correctness, on-topic intensity, intent matching, essay-scoring in student responses.
  • Managed and trained Interns on the research projects - Applying 1) CNN with POS Embeddings 2) Character-CNNs 3) Sentence-Piece for Embeddings for student essay scoring.
04/2017 to 07/2017
Data Scientist Purdue University Lafayette, LA,
  • Investigated and Evaluated Machine Learning and Deep Learning Algorithms on Global Weather Forecast data and Road Weather Information Systems sensor data of humongous size to predict road conditions.
  • Using RNN, CNN, LSTM and GRU recurrent neural networks in Tensorflow/Keras/Theano to forecast/predict the road weather conditions on time-series data
  • Explored the techniques in applying Linear Regression, Support Vector Machines, Decision Tress, Random Forests
  • Presented my work in bi-weekly presentations to the management and actively involved in industry visits to NOAA research labs.
08/2015 to 07/2017
Graduate Research Assistant Akamai Technologies Inc Hartford, CT,
  • Designed and implemented a lightweight approach using Gated-Recurrent-Unit on Intrusion data in a IoT network. Thesis Link: []
  • Published a research paper on “Synchron-ITS: An Interactive Tutoring System to Teach Process Synchronization and Parallel Processing in an Operating Systems Course” in the Proceedings of 17th International Conference on Collaboration Technologies and Systems, 2016 as a “Lead Author”.
09/2011 to 05/2015
Software Engineer Cognizant Technology Solutions City, STATE,
  • Improved the efficiency of Testing by automating the test-cases using C++, JAVA and VB scripting.
  • Appreciation received by the project clients and management for handling crucial situations of the project.
  • Supported Load and Performance testing (HP Load Runner) during production releases of the application.
  • Led a team of 5 people and received appreciations from Mangers and US Clients in crucial stages.
  • Performed Manual and Automation testing on health care X12, JSON, XML and text claims and text stored in multiple databases like MySQL, NoSQL Mongo and Cassandra in Linux and Windows environments.
  • Implemented incremental, water-fall and agile methodologies in Software Testing Life Cycle in project.
Expected in 07/2017
Master of Science: Computer Science
Wright State University - Dayton, OH,

GPA 3.85/4.0

Expected in 05/2011
Bachelor of Science: Electrical, Electronics And Communications Engineering
MVSR Engineering College - Hyderabad, India,

GPA 3.2/4.0

  • “2014Top Performer of the Year in Cognizant”in a 100 Member team.
  • “Pride of Emdeon –QA ”Award from the project client Emdeon Health care, Nashville, USA.
  • Graduate Research Fellowship award in Wright State University (net-value is $ 60000)
  • Travel Grant for Presenting my research paper in CTS Conference, Orlando, Florida.
  • Prestigious NSF Grant received for Deep Learning Research internship at INRIA research lab, France.

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School Attended

  • Wright State University
  • MVSR Engineering College

Job Titles Held:

  • Machine Learning NLP Engineer
  • Data Scientist
  • Graduate Research Assistant
  • Software Engineer


  • Master of Science
  • Bachelor of Science

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