Data Analyst with 6+ years in Python, SQL & Power BI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with strong expertise in Python, SQL, Excel, Power BI and applied machine learning. Proven ability to analyze large, complex datasets, build and validate predictive models and automate analytical workflows to improve efficiency. Adept at transforming data into actionable insights and delivering clear, compelling narratives to both technical and non-technical stakeholders to support informed decision-making.
University of Lagos
BSc Ed Chemistry · Chemistry
N/A – June 30, 2019
Tech Academy Solution
Data Analyst Instructor
April 1, 2025 – February 1, 2026
India
Eradex Technology
Data Analyst
December 1, 2022 – March 1, 2025
India
United Medical Center
Data Analyst
December 1, 2020 – June 1, 2022
India
ErandBUX
Data Analyst
November 1, 2019 – September 1, 2020
India
TechCrush Data Science Bootcamp
TechCrush
July 1, 2025 – October 1, 2025
IBM Data Analytics
IBM
March 1, 2021 – August 1, 2021
Google Analytics
February 1, 2020 – September 1, 2020
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a data-driven organization, evidenced by their consistent roles as a Data Analyst and their experience in an instructional capacity, which implies a willingness to share knowledge and foster growth. Their diverse project experience across different companies (Tech Academy Solution, Eradex Technology, United Medical Center, ErandBUX) shows adaptability and exposure to various business contexts. The breadth of skills listed (SQL, Python, Excel, Power BI, Looker, Snowflake, Tableau, Jira, VBA) indicates a proactive approach to learning and tool adoption. The certifications further support a commitment to continuous professional development.
Soft Skills & Operational Fit
The candidate's experience as a Data Analyst Instructor suggests strong communication, mentoring, and problem-solving skills. Their resume highlights collaboration with cross-functional stakeholders and presenting insights to both technical and non-technical audiences, indicating good operational fit for roles requiring teamwork and clear communication of analytical findings. The focus on improving efficiency and decision-making aligns well with typical data analyst responsibilities.