Data Analyst Resume

SUMMARY:

Obtain a full - time position in Data Science/ Data Analysis, where skills in statistics and programming, utilizing exceptional machine learning, statistical modeling, and data mining skills.

TECHNICAL SKILLS:

Programming Languages: Python, R, SQL, SAS, MATLAB, C++, Java

Operating Systems: OSX, Windows

Machine Learning Type: Classification, Regression, Clustering, Feature engineering

Statistical Methods: Regression model, time series, decision analysis, linear/non-linear optimization, moving average, hypothesis testing, confidence interval

PROFESSIONAL EXPERIENCE:

Data Analyst

Confidential

Responsibilities:

Built predicting models in SAS to forecast car price and customers’ lease term through datasets containing more than 1.7 Million observations and 20 variables.
Data selecting, cleaning, preprocessing, and interpreting based on statistical results.
Discover insights, recognize patterns with machine learning algorithms such as decision tree, neural network (Artificial Intelligence), and Bayesian learning.
Develop reports; visualize data with plots, charts, and histograms; present results and communicate with stakeholders.

Confidential

Founder

Responsibilities:

Data-driven - Build strategies by analyzing business data, predicting outcomes, testing hypothesis, and measuring risks.
Analyze target audience demography and behavioral pattern - Increase engagement rate by 50%, followers by 3000%.
Excellent critical thinking, analytical thinking, and problem-solving skills.

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