Sentiment-Based A/B Testing on News Headlines
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Summary
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.
Driven Junior Data Scientist with a unique Microbiology background, leveraging analytical rigor to solve complex challenges and drive social impact. Proficient in Python (Pandas, Scikit-learn), SQL, and Power BI for data cleaning, analysis, visualization, and predictive modeling. Adept at transforming raw data into actionable insights, demonstrated through projects like sentiment analysis and A/B testing, and committed to delivering data-driven solutions with clear communication.
Python Intern – Data Science Focus
Remote, Global
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Summary
Spearheaded data cleaning, exploratory analysis, and model development for diverse datasets, collaborating within an international team to significantly enhance data quality and project efficiency.
Highlights
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.
Community Engagement & Data Entry Analyst
Kwara, Kwara, Nigeria
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Summary
Led data collection and analysis initiatives to understand digital tool adoption, translating insights into tailored content that significantly boosted community engagement and adoption rates.
Highlights
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.
Data Science Bootcamp Participant
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Summary
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.
Highlights
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.
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Program
Data Science
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Bachelor of Science
Microbiology
Grade: 4.13/5.0
Issued By
Udacity
Issued By
AWS Web Services
Python, SQL.
Pandas, NumPy, Data Cleaning, Exploratory Data Analysis (EDA), Scikit-learn (Regression, Classification).
Matplotlib, Seaborn, Power BI, Excel.
Jupyter Notebook, Google Colab, Git, GitHub.
Collaboration, Communication, Problem-solving, Attention to Detail, Data Storytelling.
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Summary
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.
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Summary
Explored and visualized the correlation between national health expenditures and life expectancy using the Seaborn healthexp dataset.