Professional Summary

Data Scientist/​Analyst with a strong foundation in data analysis, visualization, statistical modeling and machine learning. Proficient in Python, R, SQL, and Stata, with practical experience in natural language processing (NLP), deploying machine learning models via FastAPI and cloud platforms, and developing interactive dashboards with Streamlit, Shiny etc. Enthusiastic about ML/​AI and passionate about turning complex data into actionable insights and real-world solutions.

EXPERIENCE
Data Analyst/Scientist, Ghana Statistical Service

  • •Analyze large datasets from diverse sources, including the 2021 Population and Housing Census.
    • 11/2023 – PresentAccra, Ghana
  • •Clean and process survey responses including the 2024 Ghana Marine Fishing Pilot Survey using Stata, generating accurate summary tables
  • •Develop data visualizations for survey reports including the Ghana Industrial Travellers Survey, 2024 Integrated Business Establishment Survey Phase I, and Domestic and Outbound Tourism Survey, that highlight trends, anomalies, and key insights for stakeholders
  • •Respond to client-specific data requests and deliver tailored analyses to meet project needs

    • Data Analyst, Accenture North America Data Analytics and Visualization Job Simulation on Forage
  • •Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture
  • •Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions
    • 05/2025 – 05/2025
  • •Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders
    • Data Analyst Intern, Excelerate
  • •Cleaned, visualized, and analyzed Facebook Ads campaign data for GlobalShala to evaluate performance across multiple campaigns
  • •Identified underperforming campaigns for removal and recommended scaling high-performing ones to improve ROI
    • 04/2025 – 05/2025
  • •Created impactful visualizations and presented key findings in a stakeholder-facing PowerPoint presentation
  • •Developed a comprehensive webpage⁠ using RMarkdown, summarizing the dataset overview, objectives, codes used for analysis, insights and final recommendations.
    • Data Analyst Intern, Ghana Statistical Service
  • •Retrieved, cleaned and analyzed data from the 2021 Population and Housing Census
    • 09/2022 – 10/2022Accra, Ghana
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    EDUCATION
    BSc. in Actuarial Science, University of Professional Studies
  • •Concentrations: Risk management using probability and statistical methods, data analysis with R
  • •Related Coursework: Probability, Mathematics, Statistics, Finance, Economics, Financial economics, and Computer programming
    • 08/2019 – 08/2023Accra, Ghana
    SKILLS
    Programming and Data Analysis — Proficient

    Python, R, PostgreSQL, Stata

    Data visualization & Dashboards — Expert

    Tableau, Looker Studio, Streamlit, Matplotlib, Seaborn, ggplot

    Tools & Platforms — Proficient

    Jupyter Notebook, RStudio, RMarkdown, Git & GitHub, Microsoft Excel, Google Analytics, Canva, Cloud Deployment (Render, AWS/​GCP basics)

    PROJECTS
    District Report Automation
  • •Designed and implemented an automated data pipeline in R using R Markdown (Rmd) and Quarto (Qmd) to produce customized statistical reports for all 261 Metropolitan, Municipal, and District Assemblies (MMDAs) in Ghana.
  • •Engineered a scalable workflow that ingested administrative data at the district level, automating data extraction, cleaning, and visualization.
    • 09/2025
  • •Developed dynamic templates to generate tailored, high-quality reports with integrated visualizations (e.g., charts, tables) for each district, reducing manual effort by over 80% and improving report accuracy and delivery speed.
  • •Enabled data-driven policy decisions and development monitoring through efficient, reproducible, and transparent reporting processes.
  • •Developed a REST API using FastAPI to predict sentiment (positive/​negative) from raw text.
  • •Integrated a trained Scikit-learn NLP model with joblib for persistence.
  • •Supported single and batch text inputs with confidence scores.
  • •Implemented Swagger UI for interactive documentation and testing.
  • •Deployed the API on Render, making the ML model publicly accessible
    • Interactive Dashboards with Streamlit
  • •Built multiple interactive dashboards for datasets from Ghana Statistical Service and simulated projects.
  • •Enabled real-time filtering, visualization, and insight generation for non-technical stakeholders.
  • •Showcased ML predictions and analytics insights in an easy-to-use web interface.
  • •Developed a reusable Python function to calculate comprehensive statistics (mean, variance, std, min, max, sum, median, range, mode) for 1D or 2D datasets.
  • •Accepts flat or one-level nested lists and reshapes them into customizable 2D matrices.
  • •Supports multiple output formats including dictionary, JSON, list, and Pandas DataFrame for seamless integration into data workflows.
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  • •Implements robust input validation and correct handling of mode calculations along specified axes.
  • •Enhances data analysis efficiency by combining advanced statistical summaries into a single reusable tool.

    • GMFS Pilot Study, Ghana Marine Fishing Pilot Study - GSS/ILO
  • •The 2024 Ghana Marine Fishing Pilot Study conducted by the Ghana Statistical Service in Collaboration with the International Labour Organisation sought to measure the prevalence of forced labour in Ghana's fishing sector specifically Marine fishers.
  • •Cleaned and analyzed raw survey responses and generated tables for report
    • 06/2024 – 05/2025
  • •Produced insightful visuals from the cleaned data to aid in presenting findings from the study
    • Difficulty in Performing Activities (2021 Population and Housing Census), Team Lead
  • •Retrieved raw data from Ghana Statistical Service Statsbank on Disability, cleaned, analyzed and told stories out of it using Charts and tables

    • GSS Media Report Tracker, Team Lead
  • •Recorded all media reports published about the Ghana Statistical Service from 2019 to date to keep track and ensure the news published about the service is legitimate.

    • ACTIVITIES AND LEADERSHIP
    Field Supervisor (2024 Ghana Marine Fishing Pilot Survey)
  • •Supervised a team of 3 members to collect data from vessel workers at the Tema fishing port.
  • •Ensured all selected workers who were sampled to be interviewed were available for the interview.
    • 06/2024 – 07/2024Accra, Ghana
    Monitoring and Evaluation Officer (IBES I)
  • •Oversaw data collection for the Integrated Business Establishment Survey Phase I. Western north region, Ghana.
  • •Analyzed reports from field officers
    • 01/2024 – 02/2024Accra, Ghana
  • •Observed supervisor and field officer activities to ensure high quality data was collected.
    • CERTIFICATIONS
    References
    Available upon request
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