Python Programmer / Data Analyst Resume
Reno, NV
SUMMARY:
My career goal is to combine math and technology to solve real - world problems. I have over three years of experience in data science roles. I have professionally applied coding and math to complete projects involving data collection, analysis, Deployment and reporting.
TECHNICAL KNOWLEDGE AND SKILLS:
Linux, Tableau, Microsoft Office suite
R, C++, Python, SQL, Excel, pandas, scikit-learn, and github
Excellent presentation, communication, project design, and management
Deep understanding of data, statistics, math, and logic
PROFESSIONAL EXPERIENCE:
Confidential, Reno, NV
Python Programmer / Data Analyst
Responsibilities:
- Designed an algorithm to automate time series analysis Deployment of scientific data
- Wrote tool for data collection using R and Python
- Implemented Cross Correlation Function and data interpolation
- Wrote documentation for process and presented analysis
Confidential, Minneapolis, MN
Python Programmer / Data Scientist
Responsibilities:
- Built a foreign exchange trading platform using Python and Quandl API
- Quantitative financial data analysis, optimization, and predictive modeling
- Linear regression and other supervised learning techniques
- Weekly project briefings, reports, and task management
Confidential, New York, NY
Data Analyst / Business Intelligence
Responsibilities:
- Non-parametric data analysis (click-through rate) using R and Orange
- Optimization of digital advertising campaigns using market segmentation
- Helped make data-driven decisions and write end-of-quarter reports
Confidential, Reno, NV
Tech Lead / Administrator
Responsibilities:
- Explored, implemented and taught SalesForce (CRM) to employees
- Implemented Quicken server to facilitate small business accounting procedures
