Data Scientist Resume Chicago, IL - Hire IT People

SUMMARY:

Master’s Degree with 5+ years of data analysis experience using various analytic, statistical, information processing and data management tools
Experienced with analytic tools such as SAS, R, SQL, SPSS and other OLAP tools
Leveraging Hadoop, Map/Reduce, Hive, Aster, Pig, Hbase and other big data supporting technologies
Writes and runs complex SQL scripts on Oracle, MySQL and Teradata database servers to extract records and analyze them
Utilized advanced supervised and unsupervised learning methods of machine learning algorithm and statistical techniques like multiple regression, Bayes’ classifier, k - means clustering, principal component analysis and visualization techniques for pattern recognition or predictive modeling in statistical computing environments
Conducted model development, validation and scoring of predictive models, such as Leave-One-Out-Cross validation (LOOC), k-fold cross validation or bootstrap on a validation set
Data preparation for various statistical modeling, which includes data cleansing, descriptive statistics, missing data analysis, data validation and preliminary data reporting using SPSS modeler and SAS Enterprise Miner
Sound statistical knowledge to interpret and diagnose models and make valid conclusions from volumes of data
Proficiency in data visualization skills and present the models and results to non-technical teams
High-level experience in Base SAS, SAS/Macros, SAS/SQL, SAS/Stat, SAS/Connect, SAS/Access, SAS/Graph, SAS/ODS, SAS/OLAP, SAS/EBI, SAS/ETS and SPSS modeler.
Extensive experience in preparation of reports, tables, listing and graphs

TECHNICAL SKILLS:

Modeling Tools: SAS, R, SPSS, Advance Excel

Data Visualization Tools: Tableau, MS Visio

RDBMS and Database: MS Access, SQL Server, MySQL, Teradata

Programming language: C, Java, HTML, JavaScript, Hadoop, MapReduce, Hive, Hbase, Pig, Aster

Operating systems: UNIX, LINUX

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential, Chicago, IL

Responsibilities:

Preprocessed big data set, including collecting, cleaning and transforming, in Map/Reduce and Pig on Hadoop cluster by utilizing linux commends
Performed NLTP (Natural Language Text Processing) in PostgreSQL on Teradata databases to extract key words from customers’ reviews
Built multiple predictive models and comparing them by scoring
Conducted model validation, model selection and predicted customers’ potential behaviors based on given features
Worked out strategies based on the predictions to improve sales and fulfill business goals
Generated report and visualized the results using ggplot2 and GoogleVis in R and Tableau
Conducted advanced analytical tasks in machine learning field, such as NN(neural network) and GA(genetic algorithm), to predict potential risk and the benefit

Data Analyst

Confidential, Rochester, NY

Responsibilities:

Translated business demands into data mining problems by interacting with business teams
Performed ETL on social media data from various sources in SAS
Conducted market segmentation based on history performance records using several classification models (Bayes classifier and support vector classifier) and unsupervised learning methods given a new product in advanced SAS
Processed model validation using k-fold cross validation and bootstrap
Targeted potential market and gave an optimized match of promotions

Researcher

Confidential, Evanston, IL

Responsibilities:

Developed Peer Review model as a learning & assessment approach, created experimental dataset on MySQL, formulated quality assurance strategies, took in charge of designing algorithms & testing the online system
Implemented the system in some programming courses in Confidential in Confidential University since 2011, substituted traditional assessment approach, created the strategies to improve the model & system according to feedbacks
Preprocessed raw experimental data and analyze it regarding to students behaviors, conducted questionnaire analysis and worked out learning outcome report, presented relevant s on international conference Confidential, Singapore
Generated the paper and published it on Computer& (Ranked #1 in Computer Journals)
Extended the system and improved it by utilizing some data mining methods, such as comparing 3 algorithms on reviewer assignment moment with K-means clustering
Led a cross-functional team and processed Peer Review program, trained junior research assistants

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Data Scientist Resume

Chicago, IL

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