Data Scientist And Statistician

Idris Abioye Ajiferuke

*********@********.*** — 304-***-****

EDUCATION

Marshall University, Huntington, WV

Master of Art in Mathematics, GPA: 3.88/4.0 Aug 2023 – May 2025 University of Ibadan, Ibadan, Nigeria

Master of Science in Statistics, GPA: 5.9/7.0 Aug 2017 – May 2019 Ladoke Akintola University of Technology, Ogbomoso, Nigeria Bachelor of Technology in Statistics, GPA: 3.83/5.0 Aug 2008 – April 2014 EXPERIENCE

Marshall University, Huntington, WV

Graduate Research Aug 2023 – May 2025

• Performed data cleaning for ML projects and worked with the data science team on ML research.

• Conducted data preparation, exploratory analysis, feature engineering/selection, and model building for ML projects.

• Complex data sets analyzed and processed using advanced querying, visualization, and analytics tools in SQL BI tools.

Teaching Assistant Aug 2023 – May 2025

• Taught and designed lab sessions for two sections of an undergraduate statistics course. Instructed students on analyzing datasets using SPSS, generating visualizations, and ap- plying statistical inference techniques to real-world problems.

• Leveraged SPSS (Statistical Package for Social Science) to teach foundational and inter- mediate statistical methods, including descriptive statistics, hypothesis testing, regression analysis, and data visualization. Emphasized practical application and interpretation of results.

• Guided students in translating statistical results into actionable insights. Emphasized clear communication of data-driven findings through visual charts and written reports, which are key skills for real-world data analysis.

• Delivered 12 hours of weekly drop-in tutoring and maintained independent office hours to provide one-on-one support in statistics and data interpretation. Fostered student success by breaking down complex analytical concepts.

Alayande College of Education, Oyo, Oyo State Nov 2015 – May 2018 Lecturer (Sandwich Program) Part-Time

• Delivered lectures and interactive sessions in Calculus to students, simplifying complex technical concepts into accessible and engaging content. Also, created comprehensive lec- ture notes and designed assessments to evaluate conceptual understanding and analytical thinking.

Muzedata, Manassas, VA May 2022 – Aug 2022

Data Scientist

• Applied statistical modeling techniques (linear regression, logistic regression, time series) to forecast student retention and improve advising strategies.

• Developed a Python-based data analysis pipeline for a health survey dataset, leveraging NumPy, pandas, and statsmodels to identify significant predictors of patient outcomes.

• Designed and validated Monte Carlo simulations to estimate probabilities and optimize resource allocation for academic scheduling.

• Built interactive visualizations using matplotlib and seaborn to communicate complex statistical findings to non-technical stakeholders.

• Performed hypothesis testing and ANOVA on experimental education data to evaluate the effectiveness of teaching interventions.

• Created reproducible research reports in R Markdown and LaTeX to present statistical analyses with clarity and academic rigor.

• Collaborated with a multidisciplinary team to design a Bayesian framework for updating beliefs in real-time based on incoming student performance data. TechSteps Limited Jan 2020 – Jul 2021

Business Intelligence Analyst

• Led workflow system change management, reducing coordination time by 50%.

• Boosted company revenue by 5% and reduced accounts receivable by 15%.

• Applied statistical methods (regression, forecasting) to improve efficiency by 30%.

• Created data visualizations and over 100 custom reports to enhance business decision- making.

Qualinvest Capital Limited Apr 2019 – Jan 2020

Data Science Intern

• Engineered and maintained scalable data pipelines across heterogeneous database systems to streamline statistical data flows.

• Translated analytical objectives into technical product specifications through market and end-user requirement analysis.

• Built an AWS-based data lake architecture and automated ETL processes using Python and R for efficient data warehousing.

• Developed interpretable statistical data models to support client decisions and facilitated seamless data migration to AWS cloud infrastructure. PROJECTS

• Developed an Automated ETL Pipeline using Python.

• Analyzed hospital cost data from a West Virginia survey using R.

• Built a Naive Bayes classifier to predict tumor malignancy (93% accuracy).

• Created a book recommendation engine using collaborative filtering. SKILLS & INTERESTS

• Certifications: AWS Certified Cloud Practitioner (in view)

• Tools: Hadoop, Apache Spark, Hive, NoSQL, Data Lake, Big Data, Visualization Tools

• Languages: Python, SQL, R, PHP, Java

• Technologies: Docker, Kubernetes, REST API, Spring Boot Framework, Postgres, Linux

• Other Skills: Cloud security, Networking, Virtual environment design, Communication LEADERSHIP

Ladoke Akintola University of Technology Aug 2012 – Jul 2013 Department of Statistics

General Secretary

• Oversaw the execution of annual conference, meetups, and events.

• Led and motivated students, encouraging commitment to duties.

• Delegated event responsibilities to executives for smooth operations.

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