An accomplished First-Class Chemistry graduate transitioning into data science, Edith Sunday brings a robust foundation in statistical analysis and research methodologies. Adept at leveraging data analytics to address complex challenges in public health, environmental science, and development, she excels in interdisciplinary collaboration and translating insights into actionable solutions. Her expertise spans predictive modeling, data visualization, and comprehensive data management, positioning her as a high-impact professional ready to drive data-driven strategies.
Research Intern
Remote, N/A, N/A
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Summary
Currently serving as a Research Intern, applying R for bioinformatics, scientific report writing, and machine learning to advance interdisciplinary research in AI and Biotechnology.
Highlights
Utilized R for bioinformatics to analyze complex biological datasets, contributing to ongoing research projects in AI and Biotechnology.
Authored comprehensive scientific reports, effectively communicating complex research findings to interdisciplinary teams.
Applied machine learning techniques to biological data, enhancing predictive modeling capabilities for research initiatives.
Data Analyst Intern
Lagos, Lagos, Nigeria
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Summary
As a Data Analyst Intern, Edith Sunday was responsible for cleaning, classifying, and visualizing data to inform strategic outreach program decisions and optimize resource allocation for community projects.
Highlights
Cleaned, classified, and visualized extensive Excel datasets, directly informing 3 critical outreach program decisions and optimizing resource allocation.
Provided key analytical insights that significantly supported community project planning, enhancing strategic development and impact.
Deputy Director of Projects
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Summary
As Deputy Director of Projects, Edith Sunday leads initiatives to empower 150+ girls and young women, facilitating their entry into tech careers through collaborative programs.
Highlights
Directed programs that enabled over 150 girls and young women to overcome social welfare barriers, successfully initiating their tech-career journeys.
Orchestrated collaborative career-building programs, fostering skill development and mentorship for aspiring tech professionals.
Volunteer
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Summary
Volunteered with ECOBAAMS AFRICA, actively participating in recycling initiatives to transform plastic waste into eco-products and promote environmental sustainability.
Highlights
Contributed to recycling initiatives, successfully transforming plastic waste into viable eco-products, supporting environmental conservation efforts.
Engaged in community outreach to promote sustainable waste management practices and raise environmental awareness.
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Diploma (In View)
Data Analytics
Courses
Python (Pandas, Numpy, Matplotlib)
SQL
Data Wrangling and Visualization (Excel, Tableau, Power BI)
EDA
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Bachelor of Science (B.Sc.)
Chemistry
Grade: 3.61/4.00 (First Class Honors)
Courses
Analytical Chemistry (Data Processing and Interpretation)
Statistics (regression, experimental design)
Physical Chemistry (Mathematical and Data Modelling)
Awarded By
Students' Chemical Society of Nigeria
Received for exceptional leadership and contributions as Speaker of the Student's Representative Council.
Awarded By
University of Ibadan
Recognized for outstanding academic achievement during the 2022/23 session.
Awarded By
Ibadan Varsity Christian Union
Awarded for demonstrating academic excellence in the 2022/23 academic year.
Fluent
Beginner
Issued By
Datacamp
Issued By
Datacamp
Issued By
Deloitte
Python, R, SQL.
Pandas, Numpy, Scikit-Learn, Matplotlib, Seaborn.
PostgreSQL, MYSQL, Tableau, Power BI, Excel, Git, Jupyter Notebook.
EDA, Predictive Modeling, Statistical Analysis, Feature Engineering, Data Wrangling, Data Visualization, Data Interpretation, Experimental Design, Data Modelling.
Communication, People Management, Team Collaboration, Critical Thinking, Problem Solving, Strategic Planning, Stakeholder Management, Process Optimization, KPI Tracking.
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Summary
Capstone project focused on modeling a hospital patient-record system, integrating SQL backend and Tableau dashboards to analyze patient data trends for clinical operational decision-making.
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Summary
Developed a product analytics dashboard as part of Data Analytics Diploma coursework to visualize key product performance metrics.
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Summary
Simulated a hospital appointment and patient records system to understand data flow and management in a healthcare context.
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Summary
Developed classification models to predict customer churn, incorporating demographic and transactional features, alongside implementing feature selection and model evaluation techniques.
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Summary
Developed a multi-class logistic regression model to recommend suitable crops based on soil parameters, exploring the impact of nutrient features on crop classification.
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Summary
Portfolio project focused on building Excel and Power BI dashboards to visualize regional sales performance and identify seasonal trends.