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$25 USD / hora
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agege, nigeria
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Atualmente, está 10:20 AM aqui
Ingressou em março 28, 2016
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Sikiru B.

@bakareos

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$25 USD / hora
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agege, nigeria
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Business and Data Analysis, Data Entry, Excel

I am an experienced Business and Data Analyst with strong knowledge of databases such as MS SQL, Oracle, jBase, and Universe RDBMS. I have experience in Globus/T24 Core Banking System, SAP Business One ERP, MS Excel, Google Sheets, [login to view URL], MS Visio, Power BI and MS Dynamics CRMS.
Freelancer Data Processing Executives Nigeria
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Portfólio

11613348
The case study focuses on electric vehicle (EV) adoption in various counties and cities within Washington State, based on a dataset containing EV information from Thurston, Island, Snohomish, and King counties. The dataset includes details such as location, vehicle make, model, electric range, and other relevant attributes for each EV. The objective of this study is to analyze the current state of electric vehicle adoption in different regions of Washington State. By examining the dataset, the study aims to identify trends and patterns related to EV ownership, electric range, and the eligibility of vehicles for clean alternative fuel vehicle incentives. The findings will provide valuable insights into the adoption rate and preferences of electric vehicles in different counties and cities, shedding light on the impact of clean energy initiatives and potential areas for further improvement and promotion of electric mobility.
Green Energy Transportation Industry - EV Adoption - MS PBI
The case study focuses on electric vehicle (EV) adoption in various counties and cities within Washington State, based on a dataset containing EV information from Thurston, Island, Snohomish, and King counties. The dataset includes details such as location, vehicle make, model, electric range, and other relevant attributes for each EV. The objective of this study is to analyze the current state of electric vehicle adoption in different regions of Washington State. By examining the dataset, the study aims to identify trends and patterns related to EV ownership, electric range, and the eligibility of vehicles for clean alternative fuel vehicle incentives. The findings will provide valuable insights into the adoption rate and preferences of electric vehicles in different counties and cities, shedding light on the impact of clean energy initiatives and potential areas for further improvement and promotion of electric mobility.
Green Energy Transportation Industry - EV Adoption - MS PBI
11613340
Sunshine Resort is a luxurious beachfront hotel management company that caters to leisure and business travelers alike. As part of its commitment to exceptional customer service and continuous improvement, the hotel management team wants to gain deeper insights into its reservation data. To achieve this, they have collected and organized data related to bookings, cancellations, customer preferences, and revenue. Objective: The resort consulted me as the analyst, because they aim to gain actionable insights and data-driven recommendations to enhance guest experiences, optimize hotel operations, and maximize revenue.
Sunshine Resort Case Study - using Microsoft Excel
Sunshine Resort is a luxurious beachfront hotel management company that caters to leisure and business travelers alike. As part of its commitment to exceptional customer service and continuous improvement, the hotel management team wants to gain deeper insights into its reservation data. To achieve this, they have collected and organized data related to bookings, cancellations, customer preferences, and revenue. Objective: The resort consulted me as the analyst, because they aim to gain actionable insights and data-driven recommendations to enhance guest experiences, optimize hotel operations, and maximize revenue.
Sunshine Resort Case Study - using Microsoft Excel
11613310
A retail company is interested in understanding the spending habits of its customers. They have collected data on a sample of customers, including their income, marital status, and the amount they spend on different product categories. The company uses a pivot table to analyze the data. They find that there is a positive correlation between income and the amount spent on different product categories. This means that as income increases, the amount spent on different product categories also increases. The company also finds that there are some differences in spending habits between single and married customers. Single customers tend to spend more on wine, fruits, and meat products, while married customers tend to spend more on fish products, sweet products, and gold products. Objective: Analyze the dataset and extract insights into customer behavior that can be used to improve marketing campaigns, and product offerings.
Customer Behaviors and Marketing Analysis using Excel
A retail company is interested in understanding the spending habits of its customers. They have collected data on a sample of customers, including their income, marital status, and the amount they spend on different product categories. The company uses a pivot table to analyze the data. They find that there is a positive correlation between income and the amount spent on different product categories. This means that as income increases, the amount spent on different product categories also increases. The company also finds that there are some differences in spending habits between single and married customers. Single customers tend to spend more on wine, fruits, and meat products, while married customers tend to spend more on fish products, sweet products, and gold products. Objective: Analyze the dataset and extract insights into customer behavior that can be used to improve marketing campaigns, and product offerings.
Customer Behaviors and Marketing Analysis using Excel
A retail company is interested in understanding the spending habits of its customers. They have collected data on a sample of customers, including their income, marital status, and the amount they spend on different product categories. The company uses a pivot table to analyze the data. They find that there is a positive correlation between income and the amount spent on different product categories. This means that as income increases, the amount spent on different product categories also increases. The company also finds that there are some differences in spending habits between single and married customers. Single customers tend to spend more on wine, fruits, and meat products, while married customers tend to spend more on fish products, sweet products, and gold products. Objective: Analyze the dataset and extract insights into customer behavior that can be used to improve marketing campaigns, and product offerings.
Customer Behaviors and Marketing Analysis using Excel
11613348
The case study focuses on electric vehicle (EV) adoption in various counties and cities within Washington State, based on a dataset containing EV information from Thurston, Island, Snohomish, and King counties. The dataset includes details such as location, vehicle make, model, electric range, and other relevant attributes for each EV. The objective of this study is to analyze the current state of electric vehicle adoption in different regions of Washington State. By examining the dataset, the study aims to identify trends and patterns related to EV ownership, electric range, and the eligibility of vehicles for clean alternative fuel vehicle incentives. The findings will provide valuable insights into the adoption rate and preferences of electric vehicles in different counties and cities, shedding light on the impact of clean energy initiatives and potential areas for further improvement and promotion of electric mobility.
Green Energy Transportation Industry - EV Adoption - MS PBI
The case study focuses on electric vehicle (EV) adoption in various counties and cities within Washington State, based on a dataset containing EV information from Thurston, Island, Snohomish, and King counties. The dataset includes details such as location, vehicle make, model, electric range, and other relevant attributes for each EV. The objective of this study is to analyze the current state of electric vehicle adoption in different regions of Washington State. By examining the dataset, the study aims to identify trends and patterns related to EV ownership, electric range, and the eligibility of vehicles for clean alternative fuel vehicle incentives. The findings will provide valuable insights into the adoption rate and preferences of electric vehicles in different counties and cities, shedding light on the impact of clean energy initiatives and potential areas for further improvement and promotion of electric mobility.
Green Energy Transportation Industry - EV Adoption - MS PBI
11613340
Sunshine Resort is a luxurious beachfront hotel management company that caters to leisure and business travelers alike. As part of its commitment to exceptional customer service and continuous improvement, the hotel management team wants to gain deeper insights into its reservation data. To achieve this, they have collected and organized data related to bookings, cancellations, customer preferences, and revenue. Objective: The resort consulted me as the analyst, because they aim to gain actionable insights and data-driven recommendations to enhance guest experiences, optimize hotel operations, and maximize revenue.
Sunshine Resort Case Study - using Microsoft Excel
Sunshine Resort is a luxurious beachfront hotel management company that caters to leisure and business travelers alike. As part of its commitment to exceptional customer service and continuous improvement, the hotel management team wants to gain deeper insights into its reservation data. To achieve this, they have collected and organized data related to bookings, cancellations, customer preferences, and revenue. Objective: The resort consulted me as the analyst, because they aim to gain actionable insights and data-driven recommendations to enhance guest experiences, optimize hotel operations, and maximize revenue.
Sunshine Resort Case Study - using Microsoft Excel
11613310
A retail company is interested in understanding the spending habits of its customers. They have collected data on a sample of customers, including their income, marital status, and the amount they spend on different product categories. The company uses a pivot table to analyze the data. They find that there is a positive correlation between income and the amount spent on different product categories. This means that as income increases, the amount spent on different product categories also increases. The company also finds that there are some differences in spending habits between single and married customers. Single customers tend to spend more on wine, fruits, and meat products, while married customers tend to spend more on fish products, sweet products, and gold products. Objective: Analyze the dataset and extract insights into customer behavior that can be used to improve marketing campaigns, and product offerings.
Customer Behaviors and Marketing Analysis using Excel
A retail company is interested in understanding the spending habits of its customers. They have collected data on a sample of customers, including their income, marital status, and the amount they spend on different product categories. The company uses a pivot table to analyze the data. They find that there is a positive correlation between income and the amount spent on different product categories. This means that as income increases, the amount spent on different product categories also increases. The company also finds that there are some differences in spending habits between single and married customers. Single customers tend to spend more on wine, fruits, and meat products, while married customers tend to spend more on fish products, sweet products, and gold products. Objective: Analyze the dataset and extract insights into customer behavior that can be used to improve marketing campaigns, and product offerings.
Customer Behaviors and Marketing Analysis using Excel
A retail company is interested in understanding the spending habits of its customers. They have collected data on a sample of customers, including their income, marital status, and the amount they spend on different product categories. The company uses a pivot table to analyze the data. They find that there is a positive correlation between income and the amount spent on different product categories. This means that as income increases, the amount spent on different product categories also increases. The company also finds that there are some differences in spending habits between single and married customers. Single customers tend to spend more on wine, fruits, and meat products, while married customers tend to spend more on fish products, sweet products, and gold products. Objective: Analyze the dataset and extract insights into customer behavior that can be used to improve marketing campaigns, and product offerings.
Customer Behaviors and Marketing Analysis using Excel

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Experiência

Consultant

MZ Consulting Ltd
jan. 2017 - jan. 2024 (7 anos)
●Achieved 100% successful implementation of data migration of Legacy Globus Application Data to SQL Server in 33 Ecobank affiliates globally. ●Provision of strategic advice to clients on effective IT solutions including document management and archiving solutions. ●Investigation and resolution of issues arising from implemented information systems on client’s side. ●Business Development - M-Files EDMS, Account Management and Client retention

Senior System Analyst

Coronation Merchant Bank Ltd.
mar. 2009 - dez. 2016 (7 anos, 9 meses)
●Coordination and management of Information and Communication Technology resources, people, activities and infrastructures of the bank to provide an efficient and effective IT platform. ●Achieved 100% successful implementation of the bank’s Disaster Recovery Site ●Achieved 100% successful implementation of Oracle DataGuard. ●Finacle Banking System Implementation

System Analyst

Associated Discount House Ltd (Coronation Merchant Bank Ltd)
jun. 2006 - set. 2007 (1 ano, 3 meses)
Maintenance of Globus/T24 Accounting and Reporting. Correction of GL Differences and mismatches. Setup and maintenance of new products in LD and retail module, setup interest, charges, taxes and conditions. Resolution of COB/End of Day issues. Override and Limits Administration. ●Prepared and implemented IT Budget of $300,000 in line with company policy.

Educação

Information Technology

Coventry University, United Kingdom 2007 - 2008
(1 ano)

Computer Science

University of Ilorin, Nigeria 1997 - 2000
(3 anos)

Qualificações

MBA

Coventry University
2007
Courses taken include Management Accounting, Expert System, Database Design, Logistics, Change Management, Strategy Management

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Principais Habilidades

Data Processing
Project Management
Data Entry
Excel
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