Data Science with less than a year in Data Analysis & Microbiology
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Dedicated and detail-oriented microbiologist with a strong foundation in laboratory research, testing, and analysis. Proven ability to identify and characterize microorganisms, develop and implement microbiological testing protocols, and contribute to research and development projects. Seeking opportunities in various industries, including healthcare, pharmaceuticals, food and beverages, and environmental monitoring, where I can apply my skills and knowledge to advance innovation, improve public health, and promote sustainability.
Alex ekwueme federal university, Ndufu-alike ikwo
Bachelor of Science · Microbiology
February 1, 2021 – September 1, 2025
DNA Learning Center, Godfrey Okoye University
Molecular Biology and Bioinformatics Intern
December 1, 2024 – June 1, 2026
Enugu North, Enugu State, Nigeria
Nigerian Institute of Medical Research (NIMR)
SIWES Research Intern
June 1, 2024 – October 1, 2024
Lagos Island, Lagos State, Nigeria
Rose Comprehensive College
Basic Science Instructor
January 1, 2023 – December 1, 2023
Osogbo, Osun State, Nigeria
Isolation Identification and antibiotics susceptibility of oral bacterial isolates of students of Alex ekwueme federal university Ndufu-alike ikwo
May 1, 2025 – June 1, 2025
This study investigated the isolation, identification, and antibiotic susceptibility of oral bacterial isolates from students at Alex Ekwueme Federal University Ndufu-Alike, Ikwo. The research aimed to identify bacteria in oral samples using conventional microbiological methods and determine their antibiotic susceptibility profiles. Key Findings: Ten bacterial isolates were identified, including Listeria spp., Micrococcus sp., Staphylococcus epidermidis, Aerococcus sp., Salmonella sp., Streptococcus sp., Streptococcus pyogenes, Enterococcus sp., and Klebsiella sp. The isolates showed high levels of multi-drug resistance, with 70% having a Multiple Antibiotic Resistance (MAR) index greater than 0.2. The most effective antibiotics were ciprofloxacin and levofloxacin, while high resistance was observed against ampicillin and augmentin. Implications: The study highlights the human oral cavity as a reservoir for antibiotic-resistant bacteria, posing a risk for opportunistic infections and complicating treatment strategies. The findings underscore the need for continued surveillance of antibiotic resistance patterns and promotion of rational antibiotic use in community and clinical settings. Significance: The study contributes valuable information on the microbial dynamics in the oral environment and provides insights for disease control, treatment planning, and public health policies. The findings may assist healthcare providers in choosing appropriate treatments for oral infections and inform preventive oral health campaigns.
Bioinformatics 201
Genomac Institute Inc. USA
June 1, 2026 – Present
SLA Data Analytics Program
SLA
April 1, 2026 – Present
Data Analytics Professional Program
TS Academy
February 1, 2026 – May 1, 2026
Cultural Fit Analysis
The candidate's background in microbiology and public health-related projects indicates a potential fit for roles in healthcare, pharmaceuticals, or environmental monitoring within data science. Their pursuit of diverse certifications and internships shows a willingness to learn and adapt, which is positive for cultural fit in dynamic environments. However, the direct alignment with a pure 'Data Science' role, which often requires strong programming, statistical modeling, and machine learning expertise, is still developing. Their academic project and internships suggest a strong research-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach through their research project and internships. Their experience as a Basic Science Instructor suggests good communication and teaching skills, which can be beneficial for explaining complex data concepts. The profile indicates a proactive approach to learning new skills, as evidenced by multiple certifications in Data Analytics and Bioinformatics.