Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • Home: (555) 432-1000
  • Cell:
  • :
Professional Summary
Graduate Student with skills in Statistics & Data Science, Machine learning, Optimization -- looking for full-time opportunities in area of Data Science
  • Data science
  • Machine Learning: Classification, Regression, Clustering, Feature engineering, Gradient Boosting Trees
  • Statistical Methods: Time series, Hypothesis testing, Principal component analysis, A/B Testing
  • Programming: Python (Pandas, Scikit-learn, Gensim, Seaborn, Numpy, ipython, pyomo), SQL, Tableau, R, SAS, MATLAB, Excel, AMPL/CPLEX, C/C++, VB.NET
  • Familiar with: Deep Learning (Tensorflow, Theano, CNN), Big Data (Hadoop, Hive, MapReduce, spark)
Work History
Data Scientist Intern, 08/2016 to 11/2016
Ascend LearningSaint Louis, ,
  • Unsupervised Learning algorithm (Dimensionality Reduction, Clustering) in Medicare Fraud Detection Data.
  • Transforming Claims (40M) data to analyze usage of claims by suspicious hospitals vs. nation average.
  • Designing of metrics to highlight the fraudulent provider's claims easily (needed as very big dataset to analyze)
  • Identified and documented project constraints, assumptions, business impacts, risks and scope exclusions.

Data Analyst Intern, 04/2016 to 07/2016
Docusign, Inc., ,
  • Fill Rate Improvement

Project Trainee, 2014 to 05/2014
Aditya Birla World Class ManufacturingCity, ,
  • Quality Improvement by production data analysis

  • Kaggle Classification competitions: Performed feature engineering on dataset and coded machine-learning models (xgboost, random forrest), Greedy Feature Selection, Ensemble multiple models, Tuned parameters with top features extraction for best score on cross-validation sets. Rank 3 in one competition
  • NLP: Plagiarism Detector for Gutenberg data using Locality-Sensitive Hashing (Gensim), Implemented Topic Modeling on various datasets with different statistical tools
  • Optimization & Simulation: Coded genetic algorithm in C for improvement decisions in transportation network of Chicago city, Improvement recommendations for an assembly line
Master of Science: Operations Research, Expected in May 2017 to THE UNIVERSITY OF TEXAS AT AUSTIN - ,
Relevant Coursework   Machine Learning Large Scale Data, Statistical Modeling-1, Computational Optimization, Regression Analysis, Decision Analysis

Post-Grad Diploma: Industrial Engineering, Expected in July 2015 to IIT-BOMBAY - ,
    • Relevant Coursework Discrete Event Simulation, Stochastic Processes
    • Green Belt Certification
Bachelor of Science: Mechanical Engineering, Expected in Aug. 2014 to BITS-PILANI, GOA - ,

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Job Titles Held:

  • Data Scientist Intern
  • Data Analyst Intern
  • Project Trainee


  • Master of Science
  • Post-Grad Diploma
  • Bachelor of Science

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