Data Scientist & Analyst

BRANDON KIM

** ********, ******, ** *****

714-***-**** / *********@*****.***

CAREER OBJECTIVE

Upcoming MS graduate offering a strong foundation in data science & database and programming principles across multiple platforms. Experienced in object-oriented programming; developing, testing and debugging code; designing interfaces; and administering systems and networks. Quickly learn and master new technologies; successful working in both team and self-directed settings. SKILLS & COMPETENCIES

• Programming Languages: C/C++, Java, Python, and JavaScript.

• Database Tools: MongoDB (NoSQL), SQL, and Access.

• Hadoop Eco System: Hadoop, Spark, Hive, Pig, HBase, Kafka, MapReduce, HDFS and Zookeeper.

• Data Science: Python, Pandas, Numpy, Seaborn, matplotlib, pySpark and scikit-learn.

• Cloud Computing: AWS

• Operating Systems: OS X, Linux and Windows.

PROJECTS (http://github.com/sungwons)

Data Science Project (Python, SQL)

• Developed and Implemented data science skills such as Probability, Inference, Visualization, Exploratory Data Analysis, Linear Regression, Logistic Regression, Model Evaluation, Distance Based Machine Learning. Machine Learning Project (Python)

• Built Prediction models such as Naïve Bayes, KNN, K-mean, Radial Basis Network, Classification, Regression Decision, Linear, Regression, Logistic Regression. Movie Rating (Java, HDFS, HBase, Pig, Hive, Spark)

• Implemented MapReduce model with Java, HDFS, HBase, Pig, Hive, and Spark. WORK EXPERIENCE

Data Analyst, Sales & Finance, S-Energy America, Inc., Irvine, California Mar 2014 – Mar 2016

• Developed a set of metrics derived from raw company data to track improvements in organizational efficiency.

• Manipulating, cleansing and processing data using Python, Excel and SQL.

• Writing Python code and SQL scripts to manipulate data for data loads and extracts.

• Developed detailed reports exhibiting forecast models against sales budgets based on key performance indicators (KPIs), increasing an accuracy of short- and long-term earnings estimates.

• Data entry, data auditing, creating data reports and monitoring all data for accuracy. Associate Analyst, Aldex, Irvine, California May 2013 – Feb 2014

• Co-developed analytic modeling to manage data and streamline data analysis using SQL.

• Executed and presented data analysis and data manipulation for complex data and files.

• Worked with business leads and users to ensure alignment to industry data standards and identify any potential data gaps.

EDUCATION

Johns Hopkins University

Master of Science with a major in Computer Science May 2016 – Dec 2018 University of California, Irvine

Bachelor of Science with a major in Analytical Chemistry Sep 2011 – Mar 2013 RELEVANT COURSES

Data Structures, Computer Algorithm, Software Engineering, Data Science, Computer Architecture, Cloud Computing, Large-Scale Database System, Machine Learning, Big Data Processing using Hadoop, and Web Development

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