As a data analyst I can help you and work on data wrangling which includes data gathering, data assessment & data cleaning. Storing, analyzing & visualizing the wrangles data. I can help you with gathering from different sources, data assessment and data cleaning in addition to data visualization, data interpretation & reporting insights using excel or python programming language through using its various libraries like NumPy, Pandas , seaborn & matplotlib. Data gathering. I can help in data gathering with various format from different sources, like downloading data from the internet, though web scraping using API. Structured Query Language SQL , json or CSV file formats or excel format. Data assessment. Get the data aligned and organized and make it ready for the rest of data wrangling process which Includes data assessment process, both visual and programmatic assessments using the different methods and functions in Pandas library to check for data inconsistency, invalid data, or null values, also checking for duplicates data in columns or rows, checking the data is relevant through rows represents observation and the various columns represents a category value. Checking the data against quality issues as well as structure wise issues “tidiness issues” where we can observe uniformity in the data and spot this quality and tidiness issues for further handling and cleaning. Data cleaning. Once I clearly define the quality and tidiness issues in the data, I implement a proper coding to correct each issue followed by a QA/QC code to check for the changes that we made are correct. Data assessment & data cleaning can be iterated by revisiting the cleaned data and perform further assessment to have and store the final cleaned dataset which can be used in further exploratory and analysis work. Data analysis, visualization & reporting. I can analyze the data using the various plotting libraries in python to get insights that cab be shared and reported to the client.