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$15 USD / time
NIGERIAs flagg
ibadan, nigeria
$15 USD / time
Det er for øyeblikket 10:15 a.m. her
Ble med mai 23, 2019
0 Anbefalinger

Mueezah B.

@Mueezah

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$15 USD / time
NIGERIAs flagg
ibadan, nigeria
$15 USD / time
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Gjenansettelsesrate

Data Analyst: Power BI || Microsoft Excel || SQL

Creative and dynamic data analyst with a passion for finding insights and patterns in data. Skilled in Power BI, SQL, and ETL to clean, process, and visualize data. Expert in creating user-friendly dashboards and reports to drive strategic decision-making. Natural problem-solver who always goes the extra mile to find the best solution. Proven ability to build relationships and collaborate with cross-functional teams.
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Portefølje

11668868
The data obtained needed some modifications to attain a perfect data. The data was in a table that consisted of 8 columns and about 5,000,000 rows. The date and time details were given as timestamp. There were also lots of null values. I transformed the data and added columns where necessary. Since the trend of transactions is the most important objective of this analysis, it is necessary to extract date and time from the timestamp column. I did this by using a function in the power query editor. I created a custom column from the ‘Add Column’ pane, clicked on custom column, and I gave the custom column a name. A dialog box where i needed to type in the formular for the custom column came up, then I typed “#datetime(1970,1,1,0,0,0) + #duration(0,0,0,[Timestamp])” as the formular to help generate the date and time. Key Findings The highest volume of BTC was recorded in 2021 (35bn) while the least was recoded in 2011 Weighted Price was highest on Tuesdays and lowest on Sundays
Bitcoin Historical Data Analysis
11668855
The data was obtained from a table containing a total of 5,800,675 rows and 36 columns. It was taken and compiled in the year 2015 in the United States for the U.S. Department of Transportation (DOT). The analysis was carried out to compare the details of air transport over the past years with the findings of the recent years. Hence, annual analysis was to be carried out to determine the similarities, improvements and shortcomings over the years. The body needed a summary of their monthly, weekly and daily performances in the year 2015. I was to also obtain various information which included the total number of flights, the total number and percentage of early departure, total number and percentage of delayed departure, percentage of cancelled flights amongst others. Each row of the data represented a single flight, including the airline name, flight number, origin/destination airport, and flight distance, as well as scheduled/actual departure and arrival times.
US Department of Transportation Airline Analysis
11668868
The data obtained needed some modifications to attain a perfect data. The data was in a table that consisted of 8 columns and about 5,000,000 rows. The date and time details were given as timestamp. There were also lots of null values. I transformed the data and added columns where necessary. Since the trend of transactions is the most important objective of this analysis, it is necessary to extract date and time from the timestamp column. I did this by using a function in the power query editor. I created a custom column from the ‘Add Column’ pane, clicked on custom column, and I gave the custom column a name. A dialog box where i needed to type in the formular for the custom column came up, then I typed “#datetime(1970,1,1,0,0,0) + #duration(0,0,0,[Timestamp])” as the formular to help generate the date and time. Key Findings The highest volume of BTC was recorded in 2021 (35bn) while the least was recoded in 2011 Weighted Price was highest on Tuesdays and lowest on Sundays
Bitcoin Historical Data Analysis
11668855
The data was obtained from a table containing a total of 5,800,675 rows and 36 columns. It was taken and compiled in the year 2015 in the United States for the U.S. Department of Transportation (DOT). The analysis was carried out to compare the details of air transport over the past years with the findings of the recent years. Hence, annual analysis was to be carried out to determine the similarities, improvements and shortcomings over the years. The body needed a summary of their monthly, weekly and daily performances in the year 2015. I was to also obtain various information which included the total number of flights, the total number and percentage of early departure, total number and percentage of delayed departure, percentage of cancelled flights amongst others. Each row of the data represented a single flight, including the airline name, flight number, origin/destination airport, and flight distance, as well as scheduled/actual departure and arrival times.
US Department of Transportation Airline Analysis

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Erfaring

Data Analyst Intern

Quantum Analytics
aug. 2023 - Nå
Analyzed data to understand the performance of various sectors of the company. Visualized data to reduce duration of report presentation by 10hrs a week. Extracted data from company website to provide real-time Analysis and monitoring of data

Utdanning

Computer Science

Federal University of Technology Minna, Nigeria 2017 - 2023
(6 år)

Kvalifikasjoner

Data Analyst Professional

Quantum Analytics
2023
Gain knowledge about data analytics using Microsoft Excel, PostgreSQL, Power BI and Google sheets to generate actionable insights that will help make data driven decisions.

Kontakte Mueezah B. angående jobben din

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