I am an analytical mind, grounded in the rigorous principles of physics and electrical engineering, who thrives on deciphering complex data to drive understanding and innovation. My proficiency spans advanced quantitative analysis, leveraging tools like Python, R, and SQL for data manipulation and visualization, to the practical application of technical systems and meticulous data collection. I am adept at distilling intricate information into clear insights, whether through scientific communication, teaching advanced concepts, or designing efficient operational workflows. Proven track record of optimizing system performance by up to 18.5% through root cause analysis and statistical modeling. As a lecturer, engineer, and data professional, I collaborate across disciplines to translate data into actionable strategies, drive energy-efficiency improvements, and support sustainable solutions. I have hands-on experience in SCADA, telemetry, and dashboarding using Tableau and Power BI, and I continuously seek opportunities to learn and apply new analytical techniques to real-world problems.…

Adetona

I am an analytical mind, grounded in the rigorous principles of physics and electrical engineering, who thrives on deciphering complex data to drive understanding and innovation. My proficiency spans advanced quantitative analysis, leveraging tools like Python, R, and SQL for data manipulation and visualization, to the practical application of technical systems and meticulous data collection. I am adept at distilling intricate information into clear insights, whether through scientific communication, teaching advanced concepts, or designing efficient operational workflows. Proven track record of optimizing system performance by up to 18.5% through root cause analysis and statistical modeling. As a lecturer, engineer, and data professional, I collaborate across disciplines to translate data into actionable strategies, drive energy-efficiency improvements, and support sustainable solutions. I have hands-on experience in SCADA, telemetry, and dashboarding using Tableau and Power BI, and I continuously seek opportunities to learn and apply new analytical techniques to real-world problems.…

Available to hire

I am an analytical mind, grounded in the rigorous principles of physics and electrical engineering, who thrives on deciphering complex data to drive understanding and innovation. My proficiency spans advanced quantitative analysis, leveraging tools like Python, R, and SQL for data manipulation and visualization, to the practical application of technical systems and meticulous data collection. I am adept at distilling intricate information into clear insights, whether through scientific communication, teaching advanced concepts, or designing efficient operational workflows. Proven track record of optimizing system performance by up to 18.5% through root cause analysis and statistical modeling.

As a lecturer, engineer, and data professional, I collaborate across disciplines to translate data into actionable strategies, drive energy-efficiency improvements, and support sustainable solutions. I have hands-on experience in SCADA, telemetry, and dashboarding using Tableau and Power BI, and I continuously seek opportunities to learn and apply new analytical techniques to real-world problems.

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Language

English
Advanced

Work Experience

Electrical Technologist at YJE Engineering Ltd
March 1, 2024 - Present
Project Design and Administration: Designed lighting layout, power and systems layout, security and access control for residential, commercial and industrial building, proposed change orders, revisions, and project analytics. Technical Support: Installed, configured, and maintained SCADA systems, including sensors, actuators, RTUs/PLCs, to enable realtime data collection and transmission. Automated Analysis: Developed and implemented Python scripts for data analysis and process automation, significantly reducing manual data handling time. Data Management & Reporting: Utilized Spreadsheet and SQL for data retrieval and management, and employed R for statistical analysis and advanced data manipulation. Visual Communication: Created and deployed insightful dashboards and reports using Tableau to visualize KPIs for decision-makers. Notable Achievement: Leveraged Spreadsheet and R to perform statistical analysis on building energy system performance, identifying energy inefficiencies that l
Junior Cathodic Protection Technologist at Acuren Group Inc.
September 1, 2022 - January 31, 2023
Data Collection: Collected, processed, and analyzed large field datasets for corrosion protection systems using Hawk-Eye Enterprise System. Quality Assurance: Conducted data validation and quality assurance to maintain data integrity for pipeline reports. Data Management & Reporting: Applied data processing principles to analyze Depth of Cover (DOC) sensor readings. Data Visualization: Used R and Excel to visualize data trends, identify anomalies, and propose calibration adjustments. Technical Reporting and Project Documentation: Produced a structured technical report summarizing key findings and recommendations; supported project documentation, version control, and database updates for ongoing projects. Notable achievement: Identified data integrity gaps in oil field survey practices, introduced a new logging protocol, and improved accuracy by 12.5.
Lecturer (Physics Department) at Ekti State University
April 1, 2010 - December 31, 2020
Mentorship and Communication: Developed and delivered engaging lectures on advanced quantitative concepts, translating complex information into understandable models for over 100 students per semester. Analytical Assessment: Designed comprehensive problem sets and exams that evaluated student comprehension of complex physical systems and analytical problem-solving. Data Collection: Collected, processed, and analyzed large climate datasets for solar and wind resource assessment. Research & Publication: Conducted independent research, employing Computational Modeling and Advanced Mathematics, resulting in findings published in peer-reviewed journals. Notable Achievement: Applied root cause analysis on five years of capstone project data, designed a communication skills intervention, and drove an 18.5% improvement in student performance—later adopted department-wide.
Project Support Specialist - Volunteer at Centre for Renewable Energy and Environmental Initiatives
July 1, 2017 - December 31, 2020
Technical Support: Installed, configured, and maintained SCADA systems, including sensors, actuators, RTUs/PLCs, to enable realtime data collection and transmission. Designed HMI dashboards that provided operators with actionable insights and remote-control capabilities. Collected, transformed, and analyzed solar farm timeseries data to support performance monitoring and predict maintenance needs for solar systems. Process Coordination: Coordinated project logistics, administrative processes, and managed vendor relationships to ensure efficient and timely project delivery. Stakeholder Communication: Facilitated clear and effective communication among project stakeholders, team members, and beneficiaries. Collaboration: Collaborated with multidisciplinary teams to interpret project data and propose efficiency improvements. Notable Achievement: Engineered the migration of solar farm datasets from spreadsheets to SQL Server, boosting operational efficiency by 15% through scalable data inf

Education

Bachelor of Science in Physics at University of Ilorin, Ilorin, Nigeria
January 11, 2030 - October 1, 2005
Master of Technology in Applied Physics at Federal University of Technology, Akure, Nigeria
January 11, 2030 - April 1, 2008
Certificate in Applied Project Management at Southern Alberta Institute of Technology (SAIT), Calgary, AB
January 11, 2030 - January 1, 2022
Diploma in Electrical Engineering Technology at Southern Alberta Institute of Technology (SAIT), Calgary, AB
January 11, 2030 - August 1, 2023

Qualifications

Google Data Analytic Professional Certificate
January 11, 2030 - January 1, 2025
Certificate in Applied Project Management
January 11, 2030 - January 1, 2022

Industry Experience

Education, Energy & Utilities, Professional Services, Manufacturing, Real Estate & Construction
    paper Bike share program: Revenue Optimization Insights

    This project analyzes Divvy’s Q1 2019 bike‑share trips dataset to uncover rider behavior, identify revenue opportunities, and highlight strategies to convert casual users, optimize pricing, and improve operational efficiency for sustainable business growth.

    Recommendations for Revenue Optimization: Building on the patterns observed across daily usage, rider types, trip duration, and demographic segments, several clear opportunities emerge for strengthening Divvy’s revenue performance. The most immediate win lies in converting high‑potential casual riders—particularly younger users aged 18–29 and those taking longer leisure trips—into subscribers through targeted promotions and commuter‑focused membership offers. Subscriber behavior shows strong morning and evening peaks, highlighting the value of improving bike availability during commute hours, expanding corporate membership programs, and ensuring station reliability around major employment hubs. Weekend and off‑peak demand, driven largely by casual riders, can be boosted through tourist

    paper Bike share program: Revenue Optimization Insights

    This project analyzes Divvy’s Q1 2019 bike‑share trips dataset to uncover rider behavior, identify revenue opportunities, and highlight strategies to convert casual users, optimize pricing, and improve operational efficiency for sustainable business growth