Sol Plaatje University

Responsibilities:
Create dashboards and reports to deliver insights on student engagement, performance, and surveys.

Develop diagnostic and predictive machine learning models to improve student support

Write requirements for data collection applications and surveys

Develop data collection applications

Identify and communicate data quality and data validation issues in existing datasets 

Identify opportunities for process automation

Perform ad hoc analysis and reporting 

Work with education stakeholders to understand and correctly frame analysis requirements and questions for data solutions 

Conduct educational data analytics research

Junior Data Scientist

Developed interactive learning analytics dashboards to provide insights on student behavior, demographics, and performance.

Created and automated interactive reports using student data to gain insights into learning activities.

Conducted learning analytics research on the use of probabilistic machine learning to accurately predict at-risk students for targeted early intervention. 

Conducted an educational data mining study focused on the development of an easy-to-use web-based clustering application that can be used to identify and understand student engagement levels in virtual learning environments.

Data Science Student Assistant 

Guided and supported 5 first-year data science students in their transition to university life, offering valuable academic and personal assistance.

Established a structured support system through regular one-on-one and group meetings, fostering open communication and ensuring mentees' academic and personal development was on track.

Proactively connected mentees with available student support services, enhancing their access to resources for a smoother university experience.

Maintained detailed records and provided comprehensive reports on mentees' progress, ensuring accountability and enabling data-driven improvements in the mentoring program.

Peer Mentor

Maths and Science Leadership Academy 

Responsible for assisting 60-70 Grade 9-11 students with HTML5, CSS3, and Bootstrap online course

Guided students through activities that enabled them to create and build working websites

Directed students through a series of web-development activities that enhanced their computing skills

Web Development Program Facilitator 

- Data scientist skilled in Microsoft Office, Python, R, SQL, and Git
- Expertise in data analysis, cleaning, and visualization
- Knowledgeable in machine learning and statistical techniques (Bayesian analysis, regression analysis, cluster analysis)
- Experienced in creating analytical reports and dashboards
- Strong teamwork, problem-solving, and analytical thinking abilities
- Enthusiastic about collaborating and exploring new opportunities in the field of data science.

Data Science Portfolio
GitHub:  https://github.com/Ellie190
Website:  https://eli-nimy.netlify.app/

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