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Data Science with 2+ years in Data Science & AI
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Highly skilled Data Analyst & Sustainability Specialist with 2.8 years of experience in data-driven research, sustainability analysis, and project management. Proficient in Python, SQL, Power BI, and machine learning, with a strong background in ethical data handling and stakeholder engagement. Successfully led data analysis for public sector projects, designed monitoring systems, and delivered actionable insights to inform policy and improve outcomes. Eager to leverage expertise in data science, sustainability, and collaborative problem-solving to drive impact.
Kwame Nkrumah University of Science and Technology
BSc. Environmental Science · Environmental Science
August 1, 2013 – June 30, 2017
eA MAAK Consult
Data Analyst & Sustainability Specialist (Part-time)
January 1, 2025 – Present
Accra, Greater Accra Region, Ghana
Mindrift
Data Analyst (Freelance)
June 1, 2024 – August 1, 2024
India
Newmont Ghana Gold Limited
National Service Person
August 1, 2017 – June 1, 2018
Accra, Greater Accra Region, Ghana
Customer Accounts Microservice with CI/CD & Kubernetes Deployment
March 1, 2026 – April 1, 2026
Developed a RESTful Customer Accounts microservice using Flask, implementing full CRUD operations with test-driven development (TDD). Designed and implemented a CI pipeline using GitHub Actions to automate linting (Flake8), unit testing (nosetests), and code quality checks. Enhanced application security by integrating HTTP security headers (Flask-Talisman) and CORS policies (Flask-CORS). Containerized the application using Docker with a non-root configuration and optimized dependency management for production readiness. Deployed the microservice to an OpenShift/Kubernetes cluster, integrating a PostgreSQL database using environment variables and secrets. Created Kubernetes manifests (Deployment, Service, Route) to enable scalable and repeatable deployments. Built a Tekton-based CD pipeline to automate image building and deployment to Kubernetes, reducing manual intervention.
View ProjectE-commerce Product Scraper for AfroGlamour Cosmetics
September 1, 2025 – September 1, 2025
Developed an automated web scraper to extract product data from an online cosmetics store using Selenium and Python. Engineered logic to identify and filter product URLs, and implemented robust data extraction for product details, including name, price, description, and images. Automated data cleaning and storage in CSV format for further analysis and reporting. Documented the workflow and logic for reproducibility and future enhancements.
View ProjectEnvironmental Impact of Food Production Analysis
March 1, 2025 – April 1, 2025
Developed a data pipeline using the CRISP-DM framework to evaluate environmental impacts across 43 food products. Executed data wrangling, feature engineering, and applied statistical testing (Mann-Whitney U) and PCA to extract key sustainability drivers. Designed an interactive Power BI dashboard to visualize GHG emissions, land use, and water consumption by food type, category and product. Generated actionable insights to inform sustainability strategies and support evidence-based environmental policy recommendations.
View ProjectRecommendation System
February 1, 2025 – March 1, 2025
Built a recommender system leveraging 2.75M+ user interactions and 417K+ product records to deliver personalized product suggestions. Engineered user-profiles and performed advanced data cleaning, merging multiple datasets via timestamp-based joins to ensure consistency. Optimized both Collaborative Filtering (CF) and Content-Based Filtering (CBF) to achieve and implement Hybrid Model with a tuned value of a =0.7. Delivered a deployment-ready Hybrid model, enabling enhanced customer targeting and engagement for e-commerce platforms. Designed an interactive cloud-based Streamlit app recommendation system, where users can input 'User ID' to receive top recommendations based on the Hybrid model.
View ProjectTransBorder Freight Data Analysis
January 1, 2025 – January 1, 2025
Analyzed over 1M trade records (2020-2024) to uncover patterns and identify logistical inefficiencies across cross-border operations. Applied time series forecasting and ANOVA techniques, revealing Canada as the leading export partner by volume and value. Automated ETL workflows, reducing data processing time by 50% and operational costs by 10% through streamlined data pipelines. Developed and presented interactive visual reports to inform strategic supply chain decisions and enhance stakeholder alignment.
View ProjectTerm Deposit Subscription Prediction
November 1, 2024 – November 1, 2024
Developed a predictive model using the CRISP-DM methodology to identify clients likely to subscribe to a term deposit, enhancing targeted marketing strategies. Built and evaluated a Random Forest model achieving 100% accuracy, precision, recall, and F1-score; identified key predictors including call duration, contact type, and past campaign outcomes. Performed feature importance analysis to determine high-conversion client profiles such as admin and management roles with positive campaign histories. Deployed the model via a Streamlit web app to enable real-time predictions and data uploads, providing the marketing team with an interactive decision-support tool. Delivered actionable insights that guided marketing efforts to reduce contact frequency, refine outreach, and increase conversion by 40%.
View ProjectCustomer Churn Prediction App
August 1, 2024 – August 1, 2024
Developed and deployed a multi-page web application using Streamlit for real-time customer churn prediction and logging. Integrated pre-trained machine learning models; conducted exploratory data analysis on 50,000+ customer records. Improved model performance by 20% through hyperparameter tuning and model optimization. Designed interactive visualizations to support data-driven decisions on customer retention strategies.
View ProjectTime Series Forecasting – Corporación Favorita
July 1, 2024 – July 1, 2024
Forecasted daily sales trends (2013–2017), identifying growth trajectory from 1.5M to 2.3M in average daily transactions. Engineered features from external variables including promotions, holidays, and oil prices to enhance model accuracy. Benchmarked time series models (ARIMA, SARIMA) against tree-based models, achieving an RMSLE of 0.1 with optimal configuration. Designed interactive Power BI dashboards to support demand forecasting, optimize inventory levels, and minimize stockouts
View ProjectCustomer Churn Analysis - Telco
June 1, 2024 – June 1, 2024
Implemented and validated a Random Forest model achieving 83% accuracy and 75% churn recall, enhancing early churn detection. Processed and interpreted over 5,000 customer records to uncover key churn predictors and behavioral trends. Developed predictive models that identified high-risk churn segments, contributing to a 30% increase in retention initiative effectiveness. Implemented Streamlit GUI application to visualize individual churn risk using saved models. Applied the full CRISP-DM methodology to ensure structured, end-to-end delivery from data collection to model deployment.
View ProjectIndian Start-Up Ecosystem
May 1, 2024 – May 1, 2024
Formulated funding trends across 2,152 startups, totaling $278B. Identified Mumbai ($230B) as the top hub; Financial Services as the leading sector. Tracked investments across 61 cities and 17 sectors; visualized growth hotspots.
View ProjectProfessional Certificate
Coursera
April 1, 2026 – Present
Data Science Job Simulation
Forage
September 1, 2025 – Present
Certificate of Appreciation
BSC Mentorship Program
July 1, 2025 – Present
Certificate of Achievement
BSC Mentorship Program
July 1, 2025 – Present
Data Fundamentals
IBM SkillsBuild
May 1, 2025 – Present
Data Analyst Professional
Azubi Africa
September 1, 2024 – Present
Data Science & Analytics
HP LIFE
September 1, 2024 – Present
Agile Project Management
HP LIFE
September 1, 2024 – Present
Data Analytics Essentials
CISCO Networking Academy
June 1, 2024 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through diverse project experiences, including sustainability analysis and mentorship, indicating a commitment to broader impact beyond purely technical tasks. Their involvement in volunteer work and mentorship programs highlights a collaborative and community-oriented mindset. The breadth of skills and continuous learning through certifications suggest adaptability and a growth mindset, which are valuable for cultural integration into diverse teams. The candidate's experience with Agile methodologies further supports their ability to work effectively in modern development environments.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including effective communication, critical thinking, problem-solving, and team collaboration, as evidenced by project descriptions and mentorship roles. Their experience in stakeholder engagement and report writing suggests good operational fit for roles requiring cross-functional interaction and clear presentation of insights. The candidate's proactive approach to learning and continuous improvement aligns well with dynamic work environments.