Toluwalase Taiwo

Spearheaded data cleaning, exploratory analysis, and model development for diverse datasets, collaborating within an international team to significantly enhance data quality and project efficiency.

• Executed comprehensive data cleaning and transformation, followed by Exploratory Data Analysis (EDA) using Matplotlib and Seaborn, to inform strategic analytical goals.
• Developed and implemented foundational classification and regression models with Scikit-learn, providing data-driven insights for project objectives.
• Collaborated effectively within a 6-member international team, improving data quality by 95% and reducing project turnaround time by 20% through optimized workflows.

Led data collection and analysis initiatives to understand digital tool adoption, translating insights into tailored content that significantly boosted community engagement and adoption rates.

• Directed community data collection from over 200 market vendors, extracting key insights on digital tool usage to inform strategic program development.
• Analyzed adoption trends and user feedback to tailor content strategies, resulting in a 40% increase in engagement and a 35% boost in digital tool adoption.
• Applied analytical findings to drive practical, measurable improvements in community digital literacy programs.

Engaged in a rigorous 6-month data science mentorship, developing advanced machine learning skills and contributing to a hackathon-winning project, while also leading impactful educational initiatives.

• Completed an intensive 6-month mentorship program in advanced machine learning and Python, applying skills to real-world project development.
• Contributed to the hackathon-winning HireHer project, leveraging data science to address and mitigate hiring bias.
• Co-led a successful tech webinar for over 70 participants, achieving a 90% reported improvement in career clarity among attendees.

Investigated the impact of emotional tone in news headlines on user engagement through sentiment analysis and statistical A/B testing, utilizing real-time API data.

Explored and visualized the correlation between national health expenditures and life expectancy using the Seaborn healthexp dataset.