Aspiring Data Analyst in Health Sciences

ADEYEMI OKIKIOLA

*********************@*****.*** +234********** Ilorin, Kwara State, Nigeria.

Linkedin.com/in/okikiola-adeyemi-061b82224

PROFESSIONAL SUMMARY

As a driven Medical Laboratory Science student, I aim to advance clinical research or diagnostics by leveraging my expertise in virology, parasitology, and growing proficiency in data analytics, data annotations, alongside exceptional communication, leadership, and teamwork skills. I am also a very dynamic and ambitious professional with a strong entrepreneurial mindset and growing expertise in data analysis and Web3 technologies. Passionate about leveraging data-driven insights to drive business growth and innovation in emerging markets. Eager to transition into a Data Analyst or Business Development role where I can deliver immeasurable impact.

EDUCATION

Total Child Secondary School, Araromi October 2015 – October 2021 WAEC & NECO in SSCE GPA: 2 A1, 1 B2, 2 C3. Ilorin, Kwara State EXPERIENCE

Bedrock International School May 2024 – October 2024 Data Analysis Bida, Nigeria State

Input and manage student data set on excel, designed spreadsheets, built templates for future use for Bedrock Produce graphs and tables, used spreadsheets, and perform calculations and automation to process large volumes of students’ data to generate results faster and accurately.

Bedrock International School May 20242024 – October 2024 Mathematics Teacher Bida, Nigeria state

Developed and delivered engaging lesson plans.

Improved student pass rates by 10%.

Mentored students for regional math competitions.

University of Ilorin Teaching Hospital July 2025 – Present Medical Laboratory Science Student (Clinical Posting) Ilorin, Kwara State Performed supervised diagnostic tests.

Processed blood, urine, and stool specimens.

Collaborated with healthcare professionals for timely patient care. Maintained and calibrated laboratory equipment.

Remote March 2024 – Present

Data Analysis Aspirant Remote

Actively developing skills in data analytics through hands-on projects and structured learning Analyzed public datasets and market trends to extract actionable business insights. Exploring advanced tools including SQL and Python for data-driven decision support TECHNICAL SKILLS

Programming Languages: Python, SQL

Tools: Microsoft Excel, Google Spreadsheet, Google Analytics, Canva, Microsoft Office suite. Language: English (Fluent)

Key skills: Data Annotator, Laboratory Techniques, Mathematical Problem-Solving, Web 3 Proficiency, Good Communication skills, Leadership, Problem-Solving Ability, Inclusivity.

ACHIEVEMENTS

– Presidential List — All sessions (Top 5% of class)

– Introduction to AI for Youths – Intel [View]

– Data Analytics Certification [View]

– AI for beginners - Intel

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