Data Analyst/ Business Analyst

Projects

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  Utilized Python to analyze 7000 data science job listings and gain insights on what it takes to land a job in analytics
  
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  Implemented Regex techniques to comb through the job descriptions and identified the key requirements
  
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  Aggregated and visualized the data by using pandas, matplotlib and wordcloud to compile a professional report
  

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  Created a dashboard with Power Bi to help client compare between different employee benefit packages
  
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  Transformed and processed client’s data by using DAX and Excel to ensure data completeness and validity
  
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  Provided technical insights on how the client can fully utilize their data by introducing different technologies
  
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  Consulted with client to determine the best metrics to be displayed on final product
  

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  Utilized R Studio to perform sentiment analysis on 14,000 tweeter reviews of six major airlines
  
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  Performed data cleaning and text analysis to successfully identified the major complaints for each airline
  
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  Applied regression and machine learning to produce a final model with an accuracy of 88% and lift of 34%
  

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  Utilized SQL to extract data from 8 different related tables from customer sales databases using JOIN and VIEW
  
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  Transformed and filtered data by using aggregating and filtering function to improve reporting process
  
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  Loaded and visualized data with Python to identify key business intelligences that can improve sales performance