Chukwuka Hyginus EZUGWORIE

A highly driven and experienced Digital Technology and Data Analytics specialist with a strong background in Computer Engineering. Adept at leveraging advanced analytical tools such as Python, SQL, Tableau, and Power BI to drive evidence-based decision-making. A quick learner who easily adapts to new situations and effectively communicates complex concepts. Constantly focused on resolving issues, enhancing operational efficiency, and continuously seeking innovative solutions to improve processes.

• Stuart McFarlane, stuartm@mccgc.org.au, 0438 003 657
• Mardé Helbig, m.helbig@griffith.edu.au, (07) 555 29001

• Constructive chats
• Researching
• Meeting People
• Listening to music
• Traveling
• Reading

1. Organisation: Griffith School of ICT (Work Integrated Learning,WIL)

· Client: The Centre for Applied Energy Economics and Policy Research (CAEEPR)

· Project Title: Electricity Market Simulation Model Output Analysis Database

· Role : Developer

Achievements:

• Developed an interactive GUI using Python and Tkinter:

· Utilised the Tkinter library to create an intuitive and user-friendly graphical user interface (GUI) for the Electricity Market Simulation Model Output Analysis Database.

· Implemented various widgets, including drop-down menus, buttons, and input fields, to facilitate user interaction and data selection.

• Visualised Transmission Flow Data with Matplotlib:

· Employed the Matplotlib library to design and plot detailed graphs showing the transmission flows of electricity across different regions and time periods.

· Enabled dynamic updating of graphs based on user-selected parameters, enhancing the analytical capabilities of the tool.

• Created Comprehensive Energy Balance Graphs:

· Developed graphs to display the relationship between energy generation, consumption, and storage using Pandas for data manipulation and Matplotlib for visualisation.

· Implemented algorithms to calculate and visualise nett energy balance, peak loads, and off-peak variations.

• Efficient Data Handling and Processing:

· Utilised Pandas and NumPy for efficient data handling, processing, and analysis.

· Implemented data validation and cleaning procedures to ensure data integrity and accuracy.

2. Organisation: Griffith School of ICT

· Client: Data Mining Project

· Project Title: Bank Marketing for a Portuguese Financial Institution

Achievements:

· Performed data exploration and preprocessing, including handling missing values, analysing dataset characteristics, and transforming data for better model performance.

· Applied machine learning algorithms such as KNN, logistic regression, and decision trees to train predictive models aimed at enhancing marketing campaign outcomes.

· Conducted statistical analysis and data visualisation to identify trends and patterns within the data, informing marketing strategies.

· Developed predictive models to predict customer behaviour and improve the efficiency of direct marketing campaigns.

· Utilised advanced data handling techniques, employing Pandas and NumPy for efficient data manipulation, and implemented algorithms to calculate key metrics such as accuracy, precision, recall, and F1 score.

· Collaborated with team members to ensure that the project objectives were met through effective teamwork and coordination.

3. Organisation: Griffith School of ICT

· Client: Data Analytics Assignment

· Project Title: Australia Job Market Analysis

Achievements:

· Conducted data exploration and preprocessing, including handling missing values, analysing dataset characteristics, and normalising data for improved performance.

· Performed exploratory data analysis (EDA) to describe the dataset and identify key characteristics, using statistical analysis and visualisations to uncover trends and patterns.

· Applied data visualisation techniques with libraries such as Matplotlib and Seaborn to represent job distribution, salary ranges, and market trends, aiding in better decision-making.

· Conducted comparative and time-based analysis to identify patterns, employing Pandas for efficient data handling and processing, and visualised the results to provide actionable insights.

· Collaborated with team members to ensure the project's objectives were met, utilising version control with Git, regular communication through team meetings, and project management tools to track progress and milestones.

• Computer Repair and Maintenance (CompTIA A+), CNN Technologies, port Harcourt, Rivers State, Nigeria, 07/2015, 12/2015
• Cisco Certified Network Associate (CCNA), KES Global ICT, Enugu, Nigeria, 06/2014, 11/2014