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.