Research Assistant Resume
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Madison, WI
PROFILE:
- Recent Physics PhD graduate with background in scientific programming and actuarial analysis.
- Has experience processing and analyzing data, then telling stories with it using visualizations.
- Used a sample of Enron employee data to build a machine learning model that identifies potential frauds.
- Utilized PCA for feature selection and Stratified - Shuffled Cross Validation for parameter tuning and model assessment. Coded in Python.
- MATLAB software that processes raw MRI data for conversion into images. Includes anatomical images and verification that my calibration method works.
- Wrote code in R to acquire high school graduation rate data from the web, process it, and generate an interactive color map.
DATA ANALYTICS SKILLS:
Languages: Python numpy; pandas; scikit-learn, R with Markdown, C/C++, MATLAB, C-Shell, SQL
Machine Learning Concepts : Bias-Variance Tradeoff, Linear & Logistic Regression, KNN, K-Means, LDA, QDA, Decision Trees, Random Forest, Bootstrap, Cross-Validation, PCA, SVM
Software Development Tools: Anaconda, Spyder, Jupyter Notebooks, Git Version Control
Visualization Tools: Matplotlib, Leaflet for R, ggplot2, maptools, Tableau (exposure)
WORK EXPERIENCE:
Research Assistant
Confidential, Madison, WI
Responsibilities:
- Reduced primary source of image blur by utilizing simulations to improve data collection method.
- In imaging terminology, image energy retention increased from 50% to 90% (MATLAB, C)
- Made MRI scanning possible with 3D rosette-like data collection scheme by developing a memory efficient implementation that utilizes matrix multiplication (C)
- Enabled the 3D rosette-like method with capability to scan the human brain, breasts, hip joint, and knee joint by implementing three distinct tissue contrast mechanisms (C)
- Eliminated secondary blurring and “grey haze” artifact in final images by devising a calibration method to correct MRI data errors (MATLAB, C)
- Presented research findings at international conferences and workshops in Sweden, Italy, Canada, US
Actuarial Analyst
Confidential, San Francisco, CA
Responsibilities:
- Valued pension plans for accounting disclosures and government funding requirements
- Reduced annual data project time by 20% by automating manual steps of data process (Visual Basic)
- Saved client 25% in cash contributions by resolving data issues (Visual Basic)
- Proved that office’s 3 rd largest client complied with non-discrimination requirements (Fortran 88)