Lynette Oture
Data scientists
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About
I’m a Data Science graduate with a background in IT support and systems administration, now focused on turning data into actionable insights. Skilled in SQL, Python, Power BI, and Tableau, I’ve applied machine learning and analytics through academic projects and real-world problem solving. My experience spans data visualisation, business analysis, and cloud technologies, and I’m passionate about using data storytelling to drive smarter decisions and measurable impact
Experience
- Develop Analytical Skills
Gain hands-on experience in collecting, cleaning, and analyzing datasets to support business decisions.
- Support Data-Driven Projects
Assist in building dashboards, reports, and visualizations using tools like Power BI, Tableau, or Python libraries.
- Enhance Data Quality
Contribute to data validation and quality assurance processes to ensure accuracy and reliability of insights.
- Collaborate with Teams
Work closely with cross-functional teams to understand data needs and deliver actionable insights.
- Apply Machine Learning Concepts
Participate in exploratory projects involving predictive modeling or statistical analysis to solve real-world problems.
- Document and Communicate Findings
Prepare clear technical documentation and present results in a way that supports decision-making and storytelling.
- Learn Industry Practices
Understand Musimorph’s data infrastructure, workflows, and business context to align analysis with organizational goals.
- Build Professional Competence
Strengthen problem-solving, critical thinking, and communication skills while gaining exposure to agile project collaboration.
Education
This program builds on your background in business information technology and has allowed you to specialize in areas such as data analytics, machine learning, business intelligence, and systems design. Through capstone projects, you’ve applied advanced analytical methods to real-world problems—like inventory valuation optimization using machine learning and information retrieval systems with NLP models—demonstrating both technical expertise and practical application.
