Data Scientist, Data Analyst,AI/ML candidate in Cardiff, Wales, United Kingdom

Summary

Professional Background
I am Seth K. Omamohwo, a dedicated Data Scientist with a Master's in Advanced Computer Science from Cardiff Metropolitan University. My background in computer engineering has equipped me with a robust foundation in programming and technology. I specialise in Python, JavaScript, SQL, Node.js, and TensorFlow, and I have extensive experience analysing large datasets to uncover meaningful patterns and insights. My academic and professional journey has been marked by a commitment to leveraging data for informed decision-making and developing innovative AI-driven solutions.

Experience
Student Coach
Cardiff Metropolitan University, Wales | September 2023 Present

As a Student Coach, I have conducted programming, data analysis, and machine learning workshops using Python, significantly enhancing student learning outcomes. I have also contributed to research projects, such as developing a mobile app to address postnatal depression using Figma, Node.js, and Python. Additionally, I successfully advocated for integrating new course modules, including Cloud Computing, Computer Networking, and IoT, into the Master's in Computer Science curriculum, set to commence in January 2025.

Data Scientist/Python Tutor
Aceplora Tech, Nigeria | May 2022 January 2023

At Aceplora Tech, I led tech camps focused on Python, AI, and data analysis, which improved students' coding skills and AI knowledge through interactive sessions and hands-on projects. I developed a comprehensive data science curriculum that combined theoretical knowledge with practical applications. I conducted malaria impact analysis and predictions for Nigeria using Python and Power BI, providing critical insights for policy decisions and malaria prevention strategies.

Data Analyst Intern
Coscharis Group, Nigeria | September 2021 April 2022

During my internship at Coscharis Group, I used analysis tools like Power BI, Tableau, and MySQL to enhance HR operations, improving workforce management and operational efficiency. I created dynamic visualisations and self-service business intelligence reports, aiding decision-making processes. My sales trends and turnover data analysis contributed to exceeding sales targets and operational efficiencies.

Backend Developer Intern
Delta State Innovation Hub, Nigeria | July 2020 January 2022

At Delta State Innovation Hub, I developed and launched a social media app native to Delta State, connecting over 80,000 users. My role involved collaborating on front-end development and UI/UX design, optimising user experience through enhanced analytics.

Major Achievements
1.ResGenRegNet: Developed a CNN-based approach for early detection of lung cancer, achieving a state-of-the-art 98% accuracy rate.
2.Sales Prediction Using Machine Learning: I analysed Walmart data to understand sales trends, utilizing Python and various libraries. This led to improved scientific understanding through data-driven methods.
3. DELGRAM: Built and scaled an indigenous social media app native to Delta State, enhancing user engagement through advanced analytics.
4.Africa Malaria Case Analysis**: Conducted a comprehensive malaria impact analysis and predictions for Nigeria, achieving a 96% accuracy rate using machine learning algorithms such as linear regression, Elastic Net, and SGD Regression.

Skills and Technologies
- Languages: Advanced proficiency in Python and JavaScript.
- Technologies: Node.js, Django, React.js, MongoDB, MySQL, PostgreSQL.
- Tools: AWS, Power BI, Git, Tableau.

Education
- Master of Science (MSc): Advanced Computer Science (Distinction)
Cardiff Metropolitan University, UK | 2023 Current
- Bachelor of Engineering (B.Eng.): Computer Engineering (Second Class Upper)
*Federal University of Oye-Ekiti, Nigeria | 2019 2022*

Awards and Certifications
- Poster Presentation: Frontier of Intelligent Computing: Theory & Application (FICTA) 2023.
- Published Research: "ResGenRegNet: A Residual Block-Based Approach for Early Detection of Cancer" at the 27th International Conference on Pattern Recognition.
- Certifications: AWS Certified Solutions Architect (anticipated), Machine Learning in Python, Data Analysis in Excel.

My journey in data science and AI/ML is driven by a passion for using data to make informed decisions and develop innovative solutions. Through my diverse roles and significant projects, I have consistently demonstrated my ability to deliver impactful results and advancements in the field. I am eager to continue contributing my expertise and enthusiasm to a forward-thinking team, advancing the frontiers of data science and AI/ML.

Expectations

Expectations for a New Job in Machine Learning and Data Science

In my next role in the field of machine learning and data science, I am looking for an opportunity that will allow me to leverage and expand my expertise in analysing large datasets, developing AI-driven solutions, and applying advanced machine learning algorithms. Specifically, I expect:

1. Challenging Projects: Engaging in cutting-edge projects that address real-world problems enables me to apply my skills innovatively and contribute to significant advancements in the field.

2. Collaborative Environment: Working with a dynamic and diverse team of professionals where knowledge-sharing and collaboration are encouraged, fostering a culture of continuous learning and growth.

3. Professional Development: Opportunities for ongoing professional development through access to training, certifications, and conferences, helping me stay current with the latest trends and technologies in data science and AI/ML.

4. Impactful Work: Contributing to projects that have a tangible impact, whether in healthcare, finance, technology, or another industry, where data-driven insights and AI solutions can drive positive change.

5. Innovative Technologies: Access to advanced tools and technologies that support sophisticated data analysis, machine learning, and AI model development, ensuring I can perform at the highest level.

6. Supportive Leadership: Being part of an organisation with visionary leadership that values data science and AI/ML as critical components of their strategic direction, providing the resources and support needed to excel.

By meeting these expectations, I am confident that my next role will be fulfilling and challenging and will allow me to make meaningful contributions to the fields of machine learning and data science.