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Modeling & Data Analytics Intern Resume

TECHNICAL SKILLS

Languages: Python, Objective C, Java

Analytics Tools: R, Python, SAS, HADOOP, Tableau, Pig, Sqoop, Google Analytics, Adobe Analytics, Omniture

Databases: MySQL, NoSQL, HiveQL, MongoDB

Techniques: Machine Learning, Multivariate Methods (Naive Bayes, Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, K - nearest Neighbors, Clustering), Data Mining, Predictive Modeling

PROFESSIONAL EXPERIENCE

Confidential, Philadelphia

Modeling & Data Analytics Intern

Responsibilities:

  • Implementing scripts to design features using R and Python on traffic data to be used in Transportation models
  • Implementing scripts to perform time series analysis on various features
  • Performing statistical analysis on big traffic datasets, also assisting in building a tablet survey app on C# to be used by commuters
  • Created a feature matrix by aggregating five years of data, implemented several multiple regression models using R to predict performance of new students, suggested program changes based on variable importance and regression results

Confidential

Software Engineer

Responsibilities:

  • Performed statistical analysis and data cleaning on mobile data in Google Analytics for 200 plus digital magazine brands using R, python, tableau and excel
  • Managed apps called CORE (content consumption app) and LYNX (social media for sharing web links) from quality assurance (iOS, Apple TV, ROKU) to data analysis and carried out a successful release as its product manager
  • Implemented test cases in PERL to automate testing of web version of LYNX theirby reducing basic test case implementation time on new deployments
  • Implemented MongoDB queries to retrieve user information JSON as part of quality assurance
  • Strategized feature implementations in applications by creating funnels, segmentations on the data in Mixpanel and Google analytics, theirby analyzing user behavior

Confidential

Software Engineer

Responsibilities:

  • Implemented scripts to automate back end technical processes, enabling 400% increase in app set up capabilities
  • Maintained PERL scripts to automate submission of forty applications of American City Business Journals

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