Kareko Joy Hilda Mukami

• Data Analyst/ Data Scientist

Education

• Masters of Science (Statistical Science), Strathmore University, 2017-2019
• Bachelors of Science (Mathematics and ComputerScience), Jomo Kenyatta University of Agriculture and Technology, 2011-2015
• Women Techsters Fellow with Tech4Dev

[Project 1: Twitter Sentiment Analysis]

Photo by Alexander Shatov on Unsplash

This project integrates various news source for performing sentiment analysis pertaining to #womenwhocode on twitter.

• Python libraries used: NLTK,Pandas,Textblob,Wordcloud,numpy,matplotlib,re,requests,json
• Input: Tweets, News
• Output: Sentiment of Tweets from Twitter under #womenwhocode hashtag

[Project 2: Analysis of Covid-19 Data in SQL]

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Photo by Caspar Camille Rubin on Unsplash

This project used Covid-19 Data obtained from OWID. The focus was to analyse the data in SQL.

• SQL libraries used: Sqlite3
• Input: Covid-19 complete Data(uptodate) with vaccinations and infections and deaths
• Output: Data exploratory tasks using SQL

[Project 3: Voice Assistant with Tkinter]

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Photo by BENCE BOROS on Unsplash

This project used inbuilt google speech recognition and is in progress to use Africa's NLP. This project was also a collaborative effort between a group of ladies also doing the Women Techsters Bootcamp.

• Python libraries used: Tkinter,pyAudio,gTTS,os,re.
• Input: Voice recognition commands
• Output: Search capabilities on default windows search engine.