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Data Science with 1+ years in Data Analytics & Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and motivated data professional with expertise across data governance, data analytics, data engineering, and data science. Skilled in data architecture, ETL processes, documentation, data analysis and data warehousing, with proficiency in SQL, Python, Excel, and data modeling. Committed to transforming raw data into actionable insights that support strategic, analyzing and documenting towards data-driven decision-making.
University Of Ghana
BA Economics · Economics
September 1, 2020 – August 1, 2024
Kumasi High School
Business Management · Business Management
September 1, 2017 – August 1, 2020
KNUST JHS
Pre-technical skills · Pre-technical skills
June 1, 2014 – May 31, 2017
Consolidated Bank Ghana
National Service Personnel (Data Science)
October 1, 2024 – November 1, 2025
Accra, Greater Accra Region, Ghana
Consolidated Bank Ghana
Intern (Darkuman Branch)
March 1, 2024 – April 1, 2024
Accra, Greater Accra Region, Ghana
Ghana Revenue Authority
Intern
October 1, 2023 – November 1, 2023
Accra, Greater Accra Region, Ghana
E-Levy Report Generation & Workflow Automation
June 1, 2026 – Present
• Wrote an excel VBA code to generate a report on e-levy • Wrote the code to execute various procedures and populate the results in specific cells in an excel sheet • Applied formatting to fit departmental standard
Data Cleaning Project
June 1, 2026 – Present
• Cleaned data for further analytical activities using jupyter notebook • Used some python libraries like pandas, openpyxl, etc. for the analysis
PowerBI Dashboard Development
June 1, 2026 – Present
• Developed a dashboard to monitor the various extractions • Shows the RAM, memory and CPU usage for all server databases • Helps monitor and rectify all issues related to the database
Google Data Analytics
June 1, 2026 – Present
Microsoft Office Suite
Microsoft
June 1, 2026 – Present
Microsoft SQL Server Data Analytics
Microsoft
June 1, 2026 – Present
Microsoft Excel VBA Data Cleaning
Microsoft
June 1, 2026 – Present
PowerBI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in the data domain, evidenced by their target role, projects, and certifications. Their experience in banking and tax authority suggests an ability to work in regulated environments. The diversity of projects, from Excel VBA automation to PowerBI dashboards, indicates adaptability and a willingness to tackle different types of data challenges. The candidate's academic background in Economics provides a quantitative foundation relevant to data science. The candidate's experience level is entry-level, which aligns with the 'National Service Personnel' and 'Intern' roles, suggesting a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest an ability to collaborate (e.g., "Collaborate with data analysts and data scientists"), problem-solve (e.g., "fix technical problems"), and communicate findings (e.g., "Design and develop reports and analysis"). The role as National Service Personnel in Data Science at a bank indicates exposure to structured environments and policy adherence, which aligns with operational fit. However, the descriptions are brief, limiting a deeper assessment of soft skills.