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Data Science with 2+ years in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst and Data Scientist with two (2) years of professional experience leveraging data to drive insights and support decision-making. Proficient in Excel, Python, SQL, and data visualization tools for data cleaning, analysis, reporting, and predictive modeling. Experienced in transforming complex datasets into actionable insights through statistical analysis, automation, and machine learning techniques. Passionate about solving real-world problems using data-driven approaches.
University of Nigeria, Nsukka
BSc. Physics And Astronomy · Physics And Astronomy
August 1, 2021 – June 30, 2024
St. Patrick's College, Asaba
High School Certificate
June 1, 2014 – May 31, 2020
Imperial ICT Hub
Data Science & AI Facilitator
October 1, 2025 – Present
Oshimili South, Delta State, Nigeria
Carthago Studios
Machine Learning Engineer
September 1, 2024 – September 1, 2025
Spain
Algorithmics
Data Science and Python Tutor
January 1, 2024 – December 1, 2024
Nigeria, Nigeria
BCG Data Science Job Simulation on Forage
Forage
June 1, 2026 – Present
DataCamp Data Science Professional Certification
DataCamp
June 1, 2026 – Present
DataCamp Data Science Associate Certification
DataCamp
June 1, 2026 – Present
World Quant University Data Science Lab Certification
World Quant University
June 1, 2026 – Present
365 Data Science Complete Data Science BootCamp
365 Data Science
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Data Science & AI Facilitator and Data Science and Python Tutor, alongside an ML Engineer role, indicates a diverse skill set and adaptability. The involvement in teaching roles suggests a willingness to share knowledge and contribute to team growth, which aligns well with collaborative work environments. The pursuit of multiple data science certifications demonstrates a strong drive for continuous learning and professional development. The breadth of skills listed (from Excel to LLMs) shows a versatile individual capable of handling various aspects of data science, which can be beneficial for diverse project requirements and team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong teaching and facilitation skills, suggesting good communication and interpersonal abilities. Experience in guiding learners and managing virtual classes indicates organizational skills and a collaborative mindset. The research on emerging LLM technologies shows a proactive and continuous learning attitude, which is valuable for operational fit in a dynamic data science environment. However, without specific psychometric test results, a full assessment of work attitude, stress handling, and team collaboration cannot be definitively made.