Agio

Data and Reporting Analyst

BlackTECH Hub

• Manipulated data across multiple data sources using SQL and advanced Excel functionalities to track trends, identify key drivers of various consumer behaviors, and develop recommendations to support key actions.
• Gathered and analyzed business requirements and user specifications and independently designed and developed document dashboards and reports using Power BI.
• Conducted data validation and integrity checks by reviewing input to ensure quality assurance and maintain accuracy levels of the SQL database.
• Collaborated with stakeholders to support special projects: develop business cases and translate business requirements into KPIs.
• Extracted data from the SQL database that was used in several presentations, and used SQL to provide structured data to different units by combining several rows of data from different data sources.
• Identified relevant procedures for resolving data-related issues and presented updates to relevant stakeholders.
• Prepared final analysis reports for the stakeholders to understand

Data Analyst

Accenture

•	Extracted and transformed data from multiple datasets using Power BI and Excel.
•	Assessed data quality and cleaned the data using Power BI and Excel to prepare data for analysis.
•	Defined and calculated KPIs using Power BI DAX.
•	Created insightful dashboards and visualizations to address stakeholder requirements.
•	Improved user experience by uncovering user patterns, thereby providing a deeper understanding of the audience while analyzing social media data.

Data Analyst Intern

KPMG Australia

• Assessed data quality for correctness and accuracy
• Data cleaning, manipulation, and visualization using Power Bi
• Defined KPI and created measures using Power BI DAX
• Visualized data to extract insights and identify customer purchase patterns
• Identified target customer groups for a streamlined marketing process

Tata Group

•	Analyzed business and revenue growth data and product purchases to identify regional and national growth opportunities.
•	Assessed data quality and cleaned the dataset using Power Query on Power BI to prepare data for analysis.
•	Created visuals using Tableau and Power BI to help executives with decision-making and to aid expansion.
•	Calculated metrics to effectively report relationships between data features.
•	Extracted valuable business insights relating to operations expansion and seasonal demand for an online retail store.
•	Presented the insights from the data visualizations to answer business questions.

PwC Switzerland

• Performed data cleaning, manipulation, and visualization using Power Bi
• Defined KPI and created measures using Power BI DAX
• Visualized customer and agent behavior in a call center company to extract insights
• Analyzed diversity and inclusion in executive roles and uncovered hidden insights
• Performed customer retention analysis to uncover insights to predict customer churn
• Predicted customer churn using machine learning on python

Concentrix

• Exceeded call performance metrics with a 90+% customer satisfaction rating by delivering exceptional services, finding creative solutions to problems, and ensuring compliance with company regulations.
• Provided excellent troubleshooting to customers' technical issues via telephone, email, and diagnostics programs on their devices.
• Maintained up-to-date knowledge on the recent issues and concerns affecting products and services.
• Documented customer complaints and inquiries for use in technical documentation and bug tracking following company best practices

Technical Support Analyst

Heritage Energy Operational Services Limited

•	Supervised the sampling operation of four (4) HEOSL oil production facilities with a total gross output of 200kbbls/day in OML 30, Nigeria.
•	Streamlined production operations by constantly collaborating with the operations and maintenance team. 
•	Leveraged statistical process control methods to analyze production data and identify faults. 
•	Played a crucial role in achieving defined goals by establishing standard operating procedures for the operation, start-up, and shut-down of auto-sampling units. 
•	Implemented best practices to comply with autosamplers standards that saved $75M in non-compliance losses monthly (50000 barrels at $60 per barrel for 30 days).
•	Applied root cause analysis and analytical thinking to identify and rectify faults in the auto-sampling control panel, resulting in cost savings of about $14.4M.
•	Conducted preventive and predictive maintenance that achieved 100% weekly autosampler uptime and excellent performance.
•	Provided engineering support to third-party contractors during pre-commissioning and commissioning activities.
•	Enhanced operations personnel skillset through quality training and development.
•	Performed preventive maintenance of equipment and troubleshot malfunctions and breakdowns.
•	Sampled and performed tests on the crude oil in collaboration with lab analysts to determine daily production's base sediment and water percentage (BS&W%).
•	Operated the computerized control panel from a central control room to monitor and optimize the auto-sampling process for the eight production facilities.
•	Recorded production data and performed statistical process control on process parameters to identify faults.
•	Participated in safety audits, inspections, and meetings; and provided emergency response when required.

Mechanical Engineer

•	Collaborated with staff from other departments to collect and summarize data
•	Collected and analyzed maintenance and production data daily using Excel and Power BI for use by business users at all levels.
•	Routinely reviewed and addressed data quality issues to ensure accurate reporting.
•	Sent out daily, weekly, and monthly reports to key company executives and the leadership team.
•	Turned operations data into insights, recommendations, dashboards, and reports to provide reporting and analytics services and proactively support operations decisions and processes.
•	Built data visualizations using SQL and Power BI for business KPIs that reduced manual reporting.
•	Translated complex findings in production, maintenance, and equipment operations into simple, easy-to-understand dashboards for management using Power BI.
•	Visualized HEOSL’s production data using Excel and Power BI to determine plant productivity levels.
•	Resolved part shortages by collaborating with the procurement team to expedite the procurement of spares.
•	Monitored and reported daily maintenance, production, and Health, Safety, Security, and Environment (HSSE) performance for all personnel, third-party staff, and the eight oil facilities.
•	Strategically positioned in the HSE fire warden team and achieved zero safety incidents within the office complex.

Operations Data Analyst

Warri Refining and Petrochemical Company Limited (WRPC)

•	Delivered proactive support in general mechanical on-site and workshop maintenance operations.
•	Improved equipment reliability and sustainability by troubleshooting various static and rotating equipment, including pumps, valves, and electric motors.
•	Provided engineering support for the overhaul and periodic maintenance of refinery equipment on-site.
•	Contributed to increasing plant productivity by installing, testing, and commissioning various static and rotating equipment, such as valves, pumps, and spools. 
•	Assisted in scaffolding and cladding operations of process pipelines.
•	Trained and certified in Organizational Health, Safety, and Environment Management (HSE).

Mechanical Maintenance Engineer Intern

I am a methodical and versatile professional with experience in engineering and data industries.
As a Mechanical Engineer, I am passionate about solving complex real-world problems through mechanical design inventions and innovation. I have over three (3) years of experience in the engineering sector, in which I have developed transferrable skills in data reporting, project management, and continuous process improvement.
As a Data professional, I apply my problem-solving skills in developing dashboards, reports, and performance-related insights from data. Since I can map business requirements and translate them into performance-related insights and dashboards, I can always develop and deliver a solution without miscommunication with stakeholders. In addition, I'm proficient in automating data extraction and transformation, and with my data science experience, I can perform advanced analytics and machine learning on large datasets. 

Technical Skills:
• Strong problem-solving and analytical skills.
• Highly skilled in Python (Pandas, Numpy, Matplotlib), SQL, MATLAB, R, and Microsoft Excel for data analysis.
• Highly skilled in Power BI and Tableau for data visualization
• Strong knowledge of WBS Pro and Primavera P6 for Project Management
• Highly skilled in  AutoCAD, SolidWorks, and Autodesk Inventor for mechanical design
• Knowledge of Lean manufacturing tools such as DMAIC, Value stream mapping, 5S, PFMEA, DFMEA, PPAP, Kanban, Time study, Kaizen, Six Sigma, and continuous improvement.
• Mechanical system troubleshooting and root cause analysis.

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