Data Analyst with less than a year in business analytics, Python, SQL, and cloud computing.
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Highly motivated and results-oriented professional with a Bachelor of Science in Administration (Business Analytics Option) – First Class, expected in September 2026. Possessing strong analytical, technical, and problem-solving skills, with hands-on experience in data analysis, machine learning, natural language processing, and business intelligence tools. Eager to leverage a robust academic background and practical project experience to contribute to data-driven decision-making.
University of Ghana
Bachelor of Science · Administration (Business Analytics Option)
N/A – June 30, 2026
Institute of Chartered Accountants Ghana (ICAG)
Level 2
N/A – Present
Telecel Ghana
Data Analyst Intern
September 1, 2025 – November 1, 2025
India
New Testament Mission Church
Member of the Media Team
November 1, 2023 – Present
India
Esports Performance Analytics Database System
June 1, 2026 – Present
Built a database system to track esports players' performance, sleep, nutrition, and physical activity, delivering data-driven insights in a 3-member team to improve player health and performance.
Customer Churn Prediction App (Telecommunications)
June 1, 2026 – Present
Built a Streamlit-based application to predict customer churn, enabling telecom operators to identify at-risk customers and take proactive retention actions.
Data Governance & Management Framework (UGEL Case Study)
June 1, 2026 – Present
Gained strong knowledge of data governance, data structures, and the Ghana Data Protection Act. Conducted interviews with UGEL to assess their data practices and designed a tailored data governance framework aligned with their organizational needs and compliance requirements.
Business Insights Dashboard Using Power BI (GlobalMart)
June 1, 2026 – Present
Built a Power BI dashboard analysing 8,700+ retail transactions to uncover sales trends, regional performance, and product profitability insights across a four-year period (2021-2024). Designed a star schema data model, authored 12 DAX measures including year-over-year growth calculations, and identified that orders with 30%+ discounts yielded 98% less profit than undiscounted orders.
Sentiment Analysis & Topic Modeling on US/Israel-Iran War Coverage (NLP Project)
June 1, 2026 – Present
Collected 2,000 news articles and YouTube comments from 6 international outlets using RSS feeds and official APIs, and built a 10-step preprocessing pipeline covering language detection, translation, and lemmatisation. Applied LDA topic modeling to uncover 8 latent themes and performed sentiment analysis using VADER and TextBlob across 5 analytical angles, revealing measurable differences in how outlets emotionally frame the same conflict events. Deployed findings as an interactive Streamlit dashboard for dynamic exploration of sentiment scores, topic distributions, and cross-outlet comparisons.
Anomaly Detection with Python
Unknown
June 1, 2026 – Present
Power BI for Business Intelligence
Unknown
June 1, 2026 – Present
AWS re/Start Program
AmaliTech × AWS
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of interests, from esports analytics to customer churn prediction and sentiment analysis, indicating adaptability and a willingness to tackle varied business problems. Their involvement in a church media team suggests a collaborative spirit and commitment outside of academics. The AWS re/Start program and various certifications demonstrate a proactive approach to learning and skill development, aligning with a growth-oriented culture. The target role of Data Analyst aligns well with their project experience and internship.
Soft Skills & Operational Fit
The candidate demonstrates strong project management skills through their academic projects, often working in teams and delivering comprehensive solutions. Their internship experience highlights an ability to support business reporting and improve data workflow efficiency, indicating a practical, results-oriented approach. The media team role suggests attention to detail and a commitment to quality in content production, which can translate to data quality and presentation.