Aspiring Data Analyst
Resume:
ANDREW NELSON
Oakland, CA **605
******.*.********@*****.***
Astute, results-driven and highly motivated self-starter with exceptional organizational, interpersonal and data analytic skills seeks to launch his career. BS in Mathematical Science with a Minor in Statistics and the Dean’s List. Developing in-depth knowledge of data-mining and all forms of analytics including time series, regression, differential and advanced numerical analysis. A proactive and solution-oriented team player with outstanding problem-solving abilities. Confident and poised in interactions with people at all levels of career experience. Resourceful and highly efficient at prioritizing and multitasking within fast-paced and data-driven environments. Superb verbal and written communication skills.
CORE STRENGTHS
Data Analytics • Risk Management • Quantitative & Qualitative Analysis • Financial Modeling Predictive Modeling • Time Series Analysis • Regression Analysis • Statistical Modeling Data & Database Management • Multi-Tasking • Descriptive Modeling • Differential Analysis Data Mining • Probability Theory • Project Management • Trend Analysis • Cost / Benefit Analysis Process Improvements • Collaboration • Advanced Numerical Analysis
Technology Snapshot: Proficient in MS Office Suite, SAS, MATLAB, R, C, C++, Python, SalesForce, Java, SQL, CSS, HTML, JavaScript and Internet research techniques.
EDUCATION & EXPERIENCE
BS in Mathematics with a Minor in Statistics, University of California, Santa Barbara, CA
Dean’s List – Three (3) Quarters
Selected Coursework: Data Mining, Time Series Analysis, Regression Analysis, Advanced Numerical Analysis, Advanced Linear Algebra, SAS Programming, Computer Science, Probability & Statistics, Micro / Macroeconomics, Differential Equations, Vector Calculus, Complex Analysis.
Other Coursework: Duke University (through Coursera): 97% average grade in 5 relevant Java courses.
Special Project 1: Conceived and Published Android Game “Swimming Sub” on Google Play using Java.
Special Project 2: Developed and Published Android Game “Four Way Tap Falling Dots” on Google Play using Java.
Special Project 3: Modeled a dataset using regression analysis. Transformed 1 of 2 predictor variables to successfully construct confidence and predictive intervals.
Special Project 4: Utilized Clara and Ward’s clustering methods, decision trees, Bayesian classification and Naïve Bayes in a data mining project.
Special Project 5: Team project times series analysis of Oakland Athletics attendance from 1959 to 2014. Used linear regression to model data trends and ARMA model to forecast future trends.
Systems Administrator, Pacific Boychoir Academy, Oakland, CA (Summer 2014) Maintained and upgraded computer systems for a leading choir Academy.
Utilized QNAP to upgrade file sharing server.
Centralized administration of student laptops with Apple Server.
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