Gregory Nwagbogu

Gregory Nwagbogu Huddersfield, United Kingdom --datascienceportfol.io/gnwagbogu Greg Nwagbogu | LinkedIn Data Analyst with over six years of experience in the oil and energy industry, specializing in data-driven optimization and renewable energy projects. proficient in developing machine learning algorithms to forecast primary energy production and renewable energy performance. Skilled in programming, dashboard creation, and reporting solutions using visualization tools. Experienced in project engineering, with a foundation in electrical engineering and continuous development in machine learning and deep learning techniques. Skills Programming and Query Languages: Python, SQL, JavaScript, SAS, DAX and R. Data Analysis Visualizations: Power BI, Tableau, Excel. Big Data Tools & Technologies: Hadoop, Apache Spark. Machine Learning & Deep Learning: Supervised, Unsupervised Learning, Neural Networks. Databases & Cloud Services: AWS, PostgreSQL, Azure SQL, MongoDB. Core Competencies: Renewable energy analysis, Energy forecasting. Professional Experience Neconde Energy Limited, Nigeria Data Analyst, Renewable Energy Mar 2019 – Aug 2023 • • • • Analyzed maintenance and operational data, generating detailed reports in Power BI that facilitated data-driven production optimization. Optimized data extraction processes through advanced SQL techniques, achieving a 40% reduction in query execution time. Developed and monitored key performance indicators (KPIs) for electrical system performance, which resulted in a 15% improvement in service quality and maintenance effectiveness. Designed and implemented interactive dashboards in Power BI to visualize renewable energy data, enhancing analytical decision-making and supporting strategic initiatives. • • • Supervised the analysis of preventive maintenance data for critical electrical systems such as electric motors, using insights to enhance system reliability. Identified trends within datasets related to electrical component performance, such as circuit breakers and switchgear, which led to a 79% uptime for critical systems by providing insights that informed maintenance strategies. Led a comprehensive analysis of over 10,000 customer data points for renewable energy solutions, utilizing Excel to identify trends. IMPaC Oil and Gas Engineering Limited, Nigeria Operations & Maintenance Analyst Jun 2017 – Mar 2019 • • • • • Utilized SQL to extract and maintain accurate records of electrical systems, maintenance activities, and equipment performance. Analyzed maintenance data using SQL for extraction and Power BI for visualization to optimize preventive maintenance efficiency. Created interactive Power BI dashboards using DAX to streamline data analysis and visualization from wellheads. Tracked maintenance productivity and delivered insights, enhancing team performance by highlighting improvement areas. Conducted data-driven inspections to detect trends and anomalies in electrical components, ensuring optimal performance and reducing downtime. Solarshop Engineering Limited, Nigeria Installation and Electrical Technician Jun 2015 – May 2017 • • • • • Installation and maintenance of solar panels, charge controllers, inverters and Lithium-ion batteries Offered on-site or remote technical support for issues related to system performance. Maintenance of electrical installation system. Maintained detailed records of installations, maintenance schedules, and repairs. Contributed practical ideas to the physical and technical usefulness of solar projects. Key Projects • • • • Advanced Solar Energy Forecasting: Developed machine learning models such as LSTM, SVM, RF and XGBoost for accurate solar energy predictions. Predicting COVID-19 Outcomes Using Machine Learning techniques: Used machine learning models like SVM, and XGBoost to predict COVID-19 diagnostics. Fraud Monitoring Dashboard: Created a comprehensive, interactive dashboard in Power BI for fraud analysis. Tesla Stock Price Prediction: Utilized PySpark for predictive modelling of stock prices from high-frequency data. Certifications and Awards • • • • • Data Analytics Consulting (KPMG) Share Data Through the Art of Visualization (Google) Microsoft Certified Data Analyst Associate (Microsoft) Databases and SQL for Data Science with Python (IBM) Essentials in Generative AI (Microsoft) Education • • • University of Huddersfield | Huddersfield, UK – Master of Science: Data Analytics (Sep 2023 – Sep 2024) National Centre for Technology Management | Lagos, Nigeria – P.GD (M. Tech): Information and Technology Management (Jan 2021 – Mar 2022) Madonna University | Enugu, Nigeria – Bachelor of Engineering: Electrical and Electronics Engineering (Sep 2008 – Sep 2014) Additional Interest • Chess