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Data Science with 1+ years in Clinical Practice and Data Fundamentals
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated and ambitious Medical Doctor and Data Analyst with a foundation in clinical practice and patient-centered care, with a keen interest in clinical medicine and tech, seeking opportunities to further enhance medical knowledge while contributing to meaningful patient outcomes and advancing healthcare innovation.
University of Nigeria College of Medicine
MB; BS
August 1, 2017 – June 30, 2024
Independence Layout Primary School
First School Leaving Certificate
August 1, 2004 – June 30, 2009
University of Calabar Teaching Hospital
Medical House Officer
July 1, 2025 – Present
Cross River State, Nigeria
IBM Skills Build Data Fundamentals
IBM
November 1, 2024 – Present
MEDIX Frontiers Capacity Building Workshop
MEDIX Frontiers
November 1, 2023 – Present
Data Analytics Consulting Virtual Internship
KPMG
April 1, 2023 – Present
Introductory course on Data Analytics
Octave Incorporations
April 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a broad range of interests and involvement in various student organizations and volunteer activities, indicating a proactive and engaged personality. Their background in medicine combined with an interest in data analysis suggests a unique perspective that could contribute to diverse teams. The transition from medicine to data science indicates adaptability and a willingness to learn new domains, which are positive cultural fit indicators. However, the lack of direct data science project experience means their fit within a data-driven technical culture is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including communication, critical thinking, leadership, and project management, primarily gained through medical and student association roles. Their experience in organizing activities and managing social media suggests good operational fit for collaborative environments. However, direct operational experience in a data science context is limited.