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Data Analyst with 1+ years in data analysis, reporting, and field operations.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and results-focused Data Analyst with practical experience in data analysis, reporting, and field operations through roles with the Ghana Minerals Commission and national survey projects. Skilled in Excel, Power BI, SQL, Python, SPSS, and data visualization techniques to uncover insights and support informed decision-making. Recognized for strong analytical thinking, adaptability, and the ability to communicate findings clearly in fast-paced professional environments.
Blossom Academy
Data Analytics (Excel, PowerBi, SQL, Python)
August 1, 2026 – Present
Kwame Nkrumah University of Science and Technology
Bachelor of Science in Actuarial Science · Actuarial Science
August 1, 2021 – June 30, 2024
Energy Commission / Ghana Statistical Service
Field Enumerator
September 1, 2025 – January 1, 2026
Accra, Greater Accra Region, Ghana
Minerals Commission, Ghana
Research and Statistics Assistant
August 1, 2024 – September 1, 2025
Accra, Greater Accra Region, Ghana
Minerals Commission, Ghana
Research and Statistics Assistant (Intern)
November 1, 2023 – December 1, 2023
Accra, Greater Accra Region, Ghana
NATSAHTECH Computer Systems
Clerical Assistant
November 1, 2023 – December 1, 2023
Accra, Greater Accra Region, Ghana
Ghana Stock Exchange Macroeconomic Analysis
June 18, 2026 – Present
Analyzed Ghana Stock Exchange impacts of inflation, exchange, and interest rates using R/Excel. Employed regression, time series, and visualization to explore macroeconomic variables' effect on stock returns.
National Energy Survey Data Collection Project
June 18, 2026 – Present
Collected and validated data from 30+ industrial sites using digital survey tools for the Ghana National Energy Survey by the Energy Commission in collaboration with Ghana Statistical Service.
Professional Foundations
ALX Africa
January 1, 2025 – Present
AI Starter Kit
ALX Africa
January 1, 2025 – Present
Certified Virtual Assistant
ALX Africa
January 1, 2025 – Present
Introduction to Cloud Computing
Simplilearn
January 1, 2024 – Present
Introduction to Big Data Tools for Beginners
Simplilearn
January 1, 2024 – Present
Deep Learning for Beginners
Simplilearn
January 1, 2024 – Present
Introduction to Artificial Intelligence
Simplilearn
January 1, 2024 – Present
Business Intelligence Fundamentals
Simplilearn
January 1, 2024 – Present
Python for Beginners
Simplilearn
January 1, 2024 – Present
Introduction to SQL
Simplilearn
January 1, 2024 – Present
Power BI for Beginners
Simplilearn
January 1, 2024 – Present
Introduction to Data Analytics
Simplilearn
January 1, 2024 – Present
Business Analytics with Excel
Simplilearn
January 1, 2024 – Present
Data Science with Python
Simplilearn
January 1, 2024 – Present
Statistics for Data Science
Simplilearn
January 1, 2024 – Present
Data Analyst 101: Excel Formulas & Functions
Simplilearn
January 1, 2024 – Present
AI Career Essentials
ALX Africa
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a good cultural fit for roles that value continuous learning and practical application. Their diverse project experience, from macroeconomic analysis to national energy surveys, indicates adaptability and a broad interest in data applications. The numerous certifications in data science, analytics, and AI tools suggest a proactive approach to skill development, aligning with a growth-oriented culture. Experience in government and national survey projects also indicates an ability to work within structured environments and adhere to standards.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as analytical thinking, problem-solving, stakeholder engagement, team collaboration, attention to detail, and communication. Their experience in field data collection and working with various stakeholders suggests good operational fit for roles requiring data acquisition and reporting. The ability to handle confidential data is also a positive for data-sensitive roles.