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"Utilized Python with Pandas, NumPy, and TensorFlow for data scraping and sentiment analysis in Microsoft Azure Data Studio. Employed MS Excel for data cleaning and exploration, with analysis done in PostgreSQL. Utilized Microsoft Power BI for visualization, deriving actionable insights."

dataanalysis datacleaning dataextraction datavisualization microsoftazure postgresql powerbi python3 sentiment-analysis sql

sugarfit_google_play_store_review_analysis_and_power_bi_reporting's Introduction

Hi there 👋 Introducing myself,

Coding

I'm Mariya Joseph, a passionate Data Analyst with an array of skills in SQL, MS Excel, Python, Power BI, Tableau, and R.

  • SQL : Proficient in querying and manipulating data with SQL.
  • Python : Utilizes Python for data wrangling and advanced analytics.
  • Excel : Generates reports and performs data analysis using MS Excel.
  • Tableau and Power BI : Develops interactive dashboards using Tableau and Power BI.
  • R Explorer: Setting foot on a data exploration journey with basic knowledge in R for statistical analysis.

⚙️Skills

  • Language: SQL, Python
  • Database: PostgreSQL, MySQL
  • Visualization: Power BI, Tableau
  • Spreadsheet: MS Excel

🖇️Projects

🕸️Let's Connect

sugarfit_google_play_store_review_analysis_and_power_bi_reporting's People

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sugarfit_google_play_store_review_analysis_and_power_bi_reporting's Issues

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