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Data Analyst with 2+ years in Data Analytics, Statistical Analysis & Business Intelligence
Results driven Data Analyst and Statistics graduate from the University of Energy and Natural Resources with expertise in R programming, SQL, Excel, Tableau and Python. Demonstrated ability to clean complex datasets, build dashboards, and translate data into actionable business insights. Completed the Google Data Analytics Professional Certificate and Tata Group Data Analytics Job Simulation through Forage. Currently serving as a Junior Analyst at Margins ID Group under Ghana national service. Experienced across retail analytics, financial inclusion research, policy analysis and statistical consulting. Passionate about using data to drive smarter decisions and business growth.
University of Energy and Natural Resources, Ghana
BSc Statistics · Statistics
January 1, 2024 – September 1, 2025
University of Energy and Natural Resources, Ghana
Diploma in Statistics · Statistics
September 1, 2022 – September 1, 2023
Codveda Technologies
Data Analyst Intern
February 1, 2026 – March 1, 2026
India
Margins ID Group
Junior Analyst (National Service)
October 1, 2025 – Present
India
Forage — Tata Consultancy
Data Visualization Intern
March 1, 2025 – May 1, 2025
India
Forage — KPMG UK
Audit Virtual Intern
January 1, 2025 – February 1, 2025
India
Ghana Statistical Service
Field Assistant
August 1, 2024 – August 1, 2024
India
Latex Form Ghana
Data Analyst
August 1, 2023 – December 1, 2023
India
Self-Employed Freelancer
Statistical Analyst
February 1, 2023 – Present
India
Mobile Money and Financial Inclusion Analysis
January 1, 2026 – Present
Analysed World Bank Findex, GSMA and Ghana Statistical Service datasets to identify underserved mobile money markets across West Africa for a fictional fintech startup. Cleaned and structured 8 datasets across multiple sources, filtering 374 African country records and removing 83 duplicate entries to ensure analytical accuracy. Applied the full Google Data Analytics framework (Ask, Prepare, Process, Analyze, Share, Act) to produce strategic expansion recommendations backed by data.
Online Retail Revenue Analysis
January 1, 2026 – Present
Cleaned 541,909 transaction records by removing 11,805 invalid entries, then built 4 Tableau visuals answering executive level business questions on revenue, customer value and global demand. Identified November as peak revenue month at 1.5M USD driven by holiday seasonality, and Netherlands and Germany as top international expansion markets.
Multinomial Logistic Regression
January 1, 2025 – January 1, 2025
Analysed national household income and spending patterns from Ghana Statistical Service data, identifying key socioeconomic drivers and policy implications.
Applied Data Science Lab
World Quant University
June 1, 2026 – Present
ALX Professional Foundations
Unknown
June 1, 2026 – Present
Career Boost with Power BI
Exodus Experts
June 1, 2026 – Present
Tata Group Data Analytics Job Simulation
Forage
January 1, 2026 – Present
Digispace Africa Fellowship 2026 — AI and Literacy Track
Digispace Africa
January 1, 2026 – Present
KPMG UK Audit Virtual Internship
Forage
January 1, 2025 – Present
Google Data Analytics Professional Certificate
One Million Coders Programme
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including academic research, virtual internships with international companies (KPMG, Tata Consultancy), and freelance work, indicates adaptability and a proactive approach to learning. Their involvement in national service and various certifications (Google Data Analytics, ALX, Digispace Africa Fellowship) suggests a commitment to continuous professional development and a broad interest in the data and AI landscape. This breadth of experience and continuous learning mindset aligns well with a dynamic and growth-oriented organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, report writing, and stakeholder communication, which are crucial for a Data Analyst role. Their experience in collaborative environments (Margins ID Group) and client-facing freelance work suggests a good operational fit for roles requiring teamwork and clear communication of insights. The ability to identify and resolve data quality issues indicates a detail-oriented approach.