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Data Science with 2+ years in Data Analysis & Research
Results-driven Biochemistry graduate with First Class Honors and hands-on experience in laboratory research, data analysis, and academic instruction. Proven ability to collect, clean, analyze, and interpret data; conduct laboratory procedures; and communicate complex concepts effectively to diverse audiences. Adept at working independently and collaboratively in fast-paced, data-driven environments. Seeking opportunities in laboratory science, data analysis, or teaching roles where analytical thinking and problem-solving skills add value.
KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY (KNUST)
BSc. · Biochemistry
N/A – June 30, 2024
OTI BOATENG SENIOR HIGH SCHOOL
WASSCE Certificate · General Science
N/A – Present
Nexyla IT Solutions
REMOTE CONTRACT DATA ANALYST
August 1, 2025 – Present
India
KNUST
TEACHING AND RESEARCH ASSISTANT
October 1, 2024 – September 1, 2025
India
Eastern Regional Hospital, Koforidua
MEDICAL LABORATORY INTERN
October 1, 2022 – December 1, 2022
Koforidua, Eastern Region, Ghana
Cultural Fit Analysis
The candidate's background in Biochemistry, coupled with their recent transition into a Data Analyst role, indicates a strong adaptability and willingness to learn new domains. Their experience in both academic and professional settings, including a hospital internship, shows a diverse exposure to different work cultures. The emphasis on data-driven decision-making and collaboration aligns with typical data science team environments. The candidate's pursuit of a Data Science role from a non-traditional background suggests a proactive and growth-oriented mindset, which is a positive cultural fit indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and team collaboration skills through their varied experiences. Their role as a Teaching and Research Assistant highlights leadership, mentorship, and communication abilities. The ability to adapt to fast-paced, data-driven environments is also noted. These soft skills align well with the demands of a Data Science role, which often requires both independent work and collaborative problem-solving.