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Business Analyst Intern with strong data analysis, machine learning and cybersecurity skills.
Highly analytical and results-oriented Business Analyst Intern with a solid foundation in biological sciences and ongoing studies in Data Science and Cybersecurity. Proficient in Python, SQL, machine learning frameworks like TensorFlow and Scikit-Learn, and data visualization tools such as Power BI and Tableau. Experienced in streamlining data processes, collaborating with cross-functional teams, and producing insightful reports to drive actionable outcomes. Eager to apply analytical and problem-solving skills to complex data challenges.
University of Ghana
MSc · Data Science
October 1, 2025 – Present
Academic City University
MSc · Cybersecurity
August 1, 2025 – Present
University of Ghana
BSc · Biological Sciences
August 1, 2019 – July 1, 2023
CORVUS M&C LTD
BUSINESS ANALYST INTERN
October 1, 2024 – May 1, 2025
India
Stroke Prediction System
June 27, 2026 – Present
Built and compared Logistic Regression, Random Forest, SVM, and XGBoost models for stroke prediction, achieving 93% accuracy with XGBoost and identifying key clinical risk factors for improved healthcare decision-making. Achieved 93% prediction accuracy with XGBoost while maintaining a 99% recall rate for stroke cases, demonstrating strong sensitivity for high-risk patient identification. Evaluated trade-offs between model interpretability and predictive performance to recommend clinically viable stroke prediction solutions.
Data Analytics
June 27, 2026 – Present
Designed and optimized SQL queries to extract, join, and analyse large relational datasets, improving data retrieval efficiency for reporting and analysis. Built interactive dashboards in Power BI/Tableau that tracked key business KPIs, enabling stakeholders to monitor performance trends and make data-driven decisions. Applied advanced Excel and statistical techniques (pivot tables, regression analysis, and hypothesis testing) to uncover insights and validate business assumptions. Performed end-to-end data analysis projects, including data cleaning, feature engineering, and exploratory data analysis, to generate actionable insights from raw datasets.
Loan Default Prediction
June 27, 2026 – Present
Developed and fine-tuned a Random Forest Classifier machine learning model achieving an 87% accuracy in predicting loan defaults. Implemented over-sampling and ensemble techniques to address class imbalance, leading to 15% improved performance. Implemented a FAST API based Restful API for real time detections to predict whether a loan applicant is likely to default (1) or repay (0).
Blockchain-Based Token System Development & Audit
June 27, 2026 – Present
Built and deployed an ERC-20 token smart contract on an Ethereum test network, enabling token issuance, transfers, and balance management. Integrated MetaMask for wallet connectivity and transaction execution within a decentralized token ecosystem. Simulated token sales and peer-to-peer token transfers while auditing on-chain transactions through blockchain explorers and transaction logs. Validated smart contract functionality, token balances, and transfer accuracy through systematic blockchain auditing and testing.
Data Analytics
UDEMY
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from machine learning and data analytics to blockchain, indicates a broad interest in technology and a willingness to explore different domains. The pursuit of two Master's degrees (Data Science and Cybersecurity) concurrently with a Business Analyst internship demonstrates a strong drive for continuous learning and professional development. This breadth of skills and proactive learning approach suggests a good cultural fit for dynamic and innovation-driven environments. The target role of 'Business Analyst Intern' aligns well with their recent internship experience and data analysis projects.
Soft Skills & Operational Fit
The candidate lists 'Rapport building, Excellent communication, Adaptability, People Management' as soft skills. The internship experience mentions collaboration with cross-functional teams and producing comprehensive reports, which aligns with communication and teamwork. The diverse project portfolio suggests adaptability and a proactive learning attitude. However, without specific assessment data for these soft skills, a definitive operational fit is hard to fully ascertain beyond self-reported attributes and project descriptions.