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Data Science Teaching Assistant Resume

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San Jose, CA

SKILLS:

Programming Language: Java, Python, R, SQL

Operating Systems: Windows, Mac OS X

Tools: Eclipse, GitHub, Hadoop MapReduce, Scikit - learn, Numpy, Scipy, Pandas, Spark, Weka

EXPERIENCE:

Data Science Teaching Assistant

Confidential, San Jose, CA

Responsibilities:

  • Instructed students in the use of R, Python, SQL, Excel, and Tableau.
  • Guided students in the analysis and modeling of their Confidential project datasets.

Data Scientist/Data Scientist Intern

Confidential, Chicago, IL

Responsibilities:

  • Scraped unstructured data from online articles with Python Scrappy.
  • Created a database to store and manipulate data on Microsoft Azure.
  • Implemented Naive Bayes algorithm to classify and predict ranking of articles.

Data Analyst

Confidential

Responsibilities:

  • Identified anomalies and validation issues in data using Oracle SQL Developer.
  • Improved the efficiency of the ETL process for Time upload using Python.
  • Scripted ETL process for multiple data warehouse projects from various sources dealing with millions of transactions using SQL and Python.
  • Analyzed time data which directly impacted the financials and have also delivered presentations to the executive people based on the data conclusions.

Confidential

Responsibilities:

  • Analyzed the tweets of trending of presidential candidates in the twitter.
  • Accessed the twitter API for collecting tweets using twitteR package in R.
  • Estimated the public’s perception by calculating the sentiment score of a particular term or phrase.
  • Visualized the sentiment score and trending for presidential candidates using ggplot2 in R.
  • Led a group of three to implement a school library management system.
  • Created a Java application and used GitHub as version control.

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