Highly motivated Mathematics graduate transitioning into Data Science and AI/ML Engineering, leveraging a strong analytical and problem-solving foundation to tackle real-world challenges. Actively building technical proficiency in Python, SQL, and Machine Learning, with hands-on experience in data analysis, predictive modeling, and AI fundamentals. Eager to contribute to data-driven teams and grow expertise through impactful internships and entry-level roles, including participation in the 3MTT NextGen and AWS training programs.
Data Science Intern (Virtual Experience)
Remote, Virtual, US
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Summary
Participated in a virtual data science simulation, applying advanced analytics and machine learning to solve real-world business challenges and derive strategic insights.
Highlights
Executed a comprehensive customer churn analysis simulation for PowerCo, demonstrating advanced data analytics skills and a strategic investigation approach.
Conducted efficient data analysis using Python (Pandas, NumPy) and employed data visualization techniques (Matplotlib, Seaborn) for insightful trend interpretation.
Engineered and optimized a Random Forest model, achieving a 50% recall rate in predicting customer churn, providing actionable insights for retention strategies.
Developed a concise executive summary, translating complex analytical findings into clear, actionable recommendations for informed business decision-making.
Academic Tutor (Mathematics)
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Summary
Provided academic support and guidance to university students across various mathematics levels, fostering critical thinking and problem-solving skills.
Highlights
Supported numerous students (100-400 level) in developing logical reasoning, data interpretation, and advanced problem-solving techniques in mathematics.
Facilitated understanding of complex mathematical concepts, leading to improved academic performance and confidence among tutees.
Tailored teaching methods to individual student needs, enhancing comprehension and engagement with challenging coursework.
Committee Member
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Summary
Contributed to the editorial process for academic publications, simplifying complex topics for broader understanding within the OAU Chapter.
Highlights
Authored and edited articles that simplified complex academic and technical topics, enhancing accessibility for a diverse readership.
Collaborated with a team to ensure content accuracy, clarity, and adherence to editorial standards for published materials.
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B.Sc.
Mathematics
Grade: Second Class Upper Division
Awarded By
Obafemi Awolowo University (OAU)
Recognized for strong analytical reasoning and problem-solving skills within advanced mathematics coursework.
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Summary
Developed a predictive model for Telecommunication Company to identify high-risk customers for churn, leveraging advanced data analytics and machine learning techniques to drive customer retention strategies, completed as 3MTT knowledge showcase (financial inclusion).
Issued By
TechCrush
Issued By
TechyJaunt
Python, Pandas, NumPy, Scikit-learn, SQL.
Predictive Modeling, Classification Models, Regression Models, Feature Engineering, Model Evaluation, AI Fundamentals, Generative AI Fundamentals.
Data Cleaning, Exploratory Data Analysis (EDA), Statistics, Customer Behavior Analysis.
Power BI, Matplotlib, Seaborn, Excel.
Jupyter Notebook, Git, GitHub, AWS Cloud Fundamentals, Markdown, LaTeX.
Analytical Reasoning, Problem-Solving, Communication, Teamwork, Time Management, Eagerness to Learn.