I am a self-disciplined person, goal-oriented and reliable. I have a detailed mind, am very flexible, and always prioritize my client above all else. I ensure all projects are given full consideration to the goals and outcomes as directed by the client.
Loving a challenge and, as a highly organized and competent operator, I will make sure that my projects are completed within the time allotted.
It is my pleasure to assist you in the whole data analysis process from the first step to the last step.
• Define the question—What business problem are you trying to solve? Frame it as a question to help you focus on finding a clear answer.
• Collect data—Create a strategy for collecting data. Which data sources are most likely to help you solve your business problem?
( SQL, Requests, Beautiful Soup 4, lxml, Selenium, Scrapy, AutoScraper )
• Clean the data—Explore, scrub, tidy, de-dupe, and structure your data as needed. Do whatever you have to! But don’t rush…take your time!
(OpenRefine Pandas, Data Ladder )
• Analyze the data—Carry out various analyses to obtain insights. Focus on the four types of data analysis: descriptive, diagnostic, predictive, and prescriptive.
( Excel, Google Data Sheets Google Data Studio, Python , R )
• Share results—How best can you share your insights and recommendations? A combination of visualization tools and communication is key.
( Tableau, MS Power BI, plotly seaborn , matelot )