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mwirigikainyu/README.md

Hi! 👋

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I believe data can always tell a story

I'm Michelle, with 3+ years of experience as a software engineer and data analyst: collecting data, establishing facts and drawing valid conclusions, I am proficient in data mining, data visualisation, data processing, and predictive modelling. I enjoy data wrangling, cleansing, aggregation, and manipulation. I am capable of creating, developing, testing, and deploying highly adaptive diverse services to translate business and functional qualifications into substantial deliverables. I am well-versed in various statistical methods such as descriptive and diagnostic statistics with experience using Excel both as a data source and a visualisation tool.

Tech

Python
Tableau/PowerBI
SQL
Javascript
React/Angular
C++

data_analyst_associate_badge

Feel free to reach out for any work opportunities.

Pinned

  1. Customer-Claims-Report Customer-Claims-Report Public

    An Analysis on a Fast Food Company's Customer Claims in Brazil

    Jupyter Notebook

  2. Retail-Store-Orders-EDA Retail-Store-Orders-EDA Public

    This is an Exploratory Data Analysis of a UK-based online retailer's dataset consisting of orders made in different countries from December 2010 to December 2011

    Jupyter Notebook

  3. SQL-COVID19-Exploration SQL-COVID19-Exploration Public

    Data Exploration using SQL on COVID19 Data

  4. Cleaning-Dirty-Sales-Data Cleaning-Dirty-Sales-Data Public

    Cleaning and preprocessing dirty sales data in preparation for data analysis

    Jupyter Notebook

  5. Automobile-Dataset-Analysis Automobile-Dataset-Analysis Public

    An analysis using Automobile Dataset. This Dataset has different characteristics of an auto such as body-style, wheel-base, engine-type, price, mileage, horsepower, etc.

    Jupyter Notebook

  6. Data-Analysis-Unicorns-Dataset Data-Analysis-Unicorns-Dataset Public

    Basic data science clean up of a kaggle dataset on worldwide unicorns from 2016 - 2021 using pandas

    Jupyter Notebook