Kaggle Projects Resume Example

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Jessica Claire
Montgomery Street, San Francisco, CA 94105 (555) 432-1000,
  • Ph.D. CanJessicadate in physics with 5 years’ research knowledge in numerical tools development. Project experience with machine/deep learning models. Hands-on experience in various data analytic platforms. Passionate about Data Science and Artificial Intelligence technology.
10/2016 to Current Kaggle Projects | , ,

CJessicascount Image Classification

PreJessicact the categories of e-commercial products based on their images. 
  • Performed transfer learning with state of art Convolutional Neural Network architectures with 12 million of images belonging to more than 5000 categories. Fine-tuned the models and obtained an accuracy of 65% on the test set
  • Constructed a recurrent neural network on top of the Convolutional Neural Network to utilize the hierarchical labels of each image. Improved the accuracy by 1% on the test set. 
  • Built a customized GPU workstation with Linux system, outperformed the public resources of the university.

Bosch Production Line Performance

Detect manufacturing failures using data from streamline stations.
  • Visualized manufacturing time series data and detected production flow and abnormal patterns in Python. 
  • Conducted data cleaning, imputed missing values, created new features to improve model performance.
  • Performed various sampling methods on highly imbalanced data and increased Matthews Correlation Coefficient of manufacturing failure preJessicaction by 0.08.
  • Tested multiple classification models such as Random Forest, Logistic and GraJessicaent Boosting Machine, and performed hyper-parameter tuning to optimize the model preJessicacting power in Python.
08/2011 to Current Research Experience NA | City, STATE,
  • Initialized and completed several research projects with 3 journal publications.  
  • Transformed physical scattering problems into mathematical forms that can be easily solved numerically. Developed brand new schemes that enhanced computational speed by 1 to 3 orders of magnitude.
  • Optimized computational performance by integrating multiple numerical methods into a personal package in MATLAB/Python, which becomes a standard tool used for scattering computation in our research group.
  • Facilitated lab sessions for 50-60 non-science major undergraduate students to test physical models, visualize data, and review sample proposals. 
Education and Training
Expected in 2018 Ph.D. | Physics University of Connecticut, Storrs, CT GPA:
Expected in 2013 Master of Science | Physics University of Connecticut, Storrs, CT GPA:
Expected in 2011 Bachelor of Science | Optical information science and technology Huazhong University of Science and Technology, Wuhan, Hubei GPA:
Coursera: Machine Learning by Stanford University, Deep Learning Specialization (5courses) by, Algorithm I by Princeton University; R Statistics Essential Training, Introduction to Data Analysis with Python; Intro to SQL: Querying and managing data; 

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School Attended
  • University of Connecticut
  • University of Connecticut
  • Huazhong University of Science and Technology
Job Titles Held:
  • Kaggle Projects
  • Research Experience
  • Ph.D.
  • Master of Science
  • Bachelor of Science