Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 2.5

Data correlation in python:
I downloaded movie dataset from Kaggle. I accessed the data and created data frames using python’s panda’s library through Jupyter notebook. I
created visualizations (scatter plot, plot bar) using python’s seaborn library. I created a correlation matrix to to analyze the connection between
movie budgets and the effect on its profit.
Data cleaning and visualization of COVID-19 outbreak from inception:
I downloaded covid-19 excel data set from Kaggle. Extracted the data into Microsoft SQL server to be queried and cleaned. Made visualizations
on the data using tableau, finally created a dashboard from the different visualizations to show how the spread of covid-19 grew worldwide and its
possible growth rate over time.
I’ve worked as a Data entry officer at Morin O Leather world in which I entered daily company inflows and outflows on excel spreadsheet, I took inventory of Materials, I performed advanced calculations involving multiple worksheets in excel to determine the company’s profits and expenses. I am currently working as a lead data analyst at greater Washington logistics where I built various reporting Templates on Google sheet Involving conditional formatting, data validation and advanced formulas to make data entry easier and accurate. I create visualizations on power bI and build interactive dashboards on excel to present the company's monthly financial report and visible trends to be noted. I carry out data mining on Addresses sent from the Nigeria immigration Service (NIS) to the company's receiving platform for verification. I clean and organize the data, filter out incorrect address using excel formulas and send them out for verification. I also perform Service and Quality Assurance (SQA) Analysis for different clients. I create SQA grids and grading template. I create charts to visualize individual branch performance, collective state performance and regional performance as the case may be for different grading sections.