Back to Home

Collins Muturi

Data Scientist | Analyst | Financial Engineer | Analyst

I am an analytical and solutions-driven Data Analyst with expertise in data science, financial engineering, and data visualization. My background spans across diverse domains, from financial services to telecommunications and consulting, demonstrating a strong ability to derive actionable insights through data-driven decision-making. With a Master’s degree equivalent in Data Science from Explore AI Academy, I bring technical proficiencies in Python, R, SQL, and machine learning algorithms, complemented by hands-on experience in job simulations and projects.

Link to:

My Portfolio My LinkedIn My Github Coursera

Education

Explore Academy | ALX | Data Engineering

Explore Academy | ALX| Data Science

Strathmore University | Chartered Financial Analyst Level I

Jomo Kenyatta University of Agriculture and Technology | Finacial Engineering

Technologies & Tools

Contact Me

Work Experience

Freelance Projects

Client Project:Senior Full-Stack Devloper

Dates Work
June 2025- Present
  • Led full migration of production dashboards from Vite to Next.js with server-side rendering, modular routing, and SEO optimization. Designed and delivered reusable React/MUI components with Tailwind CSS, integrated real-time analytics visualizations, and implemented mock-to-live data pipelines.
  • June 2025- Present
  • Frontend Engineering: Developed dynamic dashboards, integrated Auth0 authentication, built profile and client pages aligned with enterprise theming, and connected UI to CRM APIs (Freshsales, Freshdesk).
  • June 2025- Present
  • Backend & Data Systems: Designed API endpoints, implemented mock-to-production data fallbacks, and structured environment-specific configurations for seamless deployments.
  • June 2025- Present
  • DevOps & CI/CD: Built GitHub Actions pipelines with automated lint/test/deploy, Dockerized workflows, PM2 deployments, and Slack notifications. Managed secrets and SSH workflows for secure cloud delivery.
  • June 2025- Present
  • Analytics & Reporting: Built KPI dashboards ( ROI, performance), PDF statement generation pipelines, and future-ready ML integration paths for anomaly detection.
  • June 2025- Present
  • Key Technologies: React, Next.js, Node.js, TypeScript, MongoDB, Auth0, Freshsales/Freshdesk APIs, Tailwind CSS, MUI, Docker, GitHub Actions, PM2, DigitalOcean.
  • Client Project:Property Data Automation Script

    Dates Work
    May 2025- May 2025
  • Developed a Python-based automation script to extract street addresses from PDF files in a local directory.
  • May 2025- May 2025
  • Developed and implemented web scraping functionality to extract comprehensive property data from the Broward County Property Appraiser website (bcpao.us), and automated the generation of structured output files in CSV and Excel formats for seamless data handling and reporting.
  • May 2025- May 2025
  • Ensured script compatibility with VPN-based access environments and built logging functionality to track progress and handle edge cases.
  • Client Project:Logo Redesign & Conceptual Branding

    Dates Work
    May 2025- May 2025
  • Produced three logo variations based on a client-provided visual identity and branding brief.
  • May 2025- May 2025
  • Delivered a set of brand logo concepts based on an existing logo, customized with unique visual direction and style updates.
  • May 2025- May 2025
  • Created multiple variations including a historically inspired design, a modern minimalist revision, and an original creative interpretation.
  • May 2025- May 2025
  • Met a tight deadline while maintaining clear communication and adaptability to client feedback.
  • Data Analyst at Chasmac Trading Company

    Dates Work
    Jan 2020- Dec 2023
  • Employed statistical methods and software to analyze data, identifying patterns and trends.
  • Jan 2020- Dec 2023
  • Delivered clear and concise reports to stakeholders based on data interpretations, facilitating strategic decision-making.
  • Jan 2020- Dec 2023
  • Communicated insights through reports, enhancing stakeholder decision-making. Resulted in a 15% increase in operational efficiency and a 10% improvement in strategic resource allocation.
  • Data Science Intern at ALX

    Dates Work
    Jun 2023- Oct 2023
  • Spearheaded a group project developing a mental health website, showcasing skills in data visualization, graphic design, web design, content creation, and web hosting.
  • Financial Analyst at Amp Bank Systems Limited

    Dates Work
    Jan 2022- Aug 2022
  • Financial Reporting and System Development: Engineered an accounting system and restructured accounting frameworks, enhancing financial reporting accuracy by 25% and streamlining processes.
  • Jan 2022- Aug 2022
  • Conducted audits, providing recommendations to enhance operational efficiency
  • Data Analyst - Forensic Audit at Ardhi Sacco Society

    Dates Work
    Jan 2019- Aug 2020
  • Data Classification and Financial Recovery: Implemented advanced data classification techniques, enhancing data organization and leading to the recovery of KES 16 million.
  • Jan 2019- Aug 2020
  • Process Improvement: Streamlined financial data management processes using Excel and statistical tools, significantly improving data accessibility and reporting accuracy.
  • Jan 2019- Aug 2020
  • Stakeholder Reporting and Strategic Support: Delivered accurate financial analyses to stakeholders, enabling informed strategic decisions and contributing to the organization's financial stability.

  • Licenses & Certifications

    BCG-Introduction to Strategy Consulting Job Simulation : Dec 2024

  • Learned how to think creatively by challenging the assumptions that guide today’s thinking.
  • Used effective brainstorm strategies to generate ideas to help a fictional luxury clothing company increase sales revenue.
  • Quantium-Data Analytics Job Simulation : Nov 2024

  • Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.
  • Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
  • Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
  • Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.
  • Accenture-Data Analytics and Visualization Job Simulation: October 2024

  • 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
  • Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders
  • BCG-GenAI Job Simulation : October 2024

  • Completed a job simulation involving AI-powered financial chatbot development for BCG's GenAI Consulting team.
  • Gained experience in Python programming, including the use of libraries such as pandas for data manipulation.
  • Integrated and interpreted complex financial data from 10-K and 10-Q reports, employing rule-based logic to create a chatbot that provides user-friendly financial insights and analysis.
  • PwC Switzerland Power Bi Job Simulation on Forage : October 2024

  • Demonstrated expertise in data visualization through the creation of Power BI dashboards that effectively conveyed KPIs, showcasing the ability to respond to client requests with well-designed solutions.
  • Strong communication skills reflected in the concise and informative email communication with engagement partners, delivering valuable insights and actionable suggestions based on data analysis.
  • Leveraged analytical problem-solving skills to examine HR data, particularly focusing on gender-related KPIs, and identified root causes for gender balance issues at the executive management level, highlighting a commitment to data-driven decision-making.
  • Digital Intelligence Job Simulation : Aug 2024

  • Completed a job simulation involving data analysis and modeling for the Digital Intelligence team.
  • Built Python classification models, analyzed feature importance, and created visual representations.
  • Developed a valuation document, analyzed historical data, forecasted cash flows, and determined portfolio present value.
  • Collaborated on a client's data strategy proposal, analyzed medical data for adverse effects, compared medications, and suggested further investigations
  • British Airways Data Science Job Simulation on Forage : June 2024

  • Completed a simulation focussing on how data science is a critical component of British Airways success
  • Scraped and analyzed customer review data to uncover findings
  • Built a predictive model to understand factors that influence buying behavior.
  • Commonwealth Bank Introduction to Data Science Job Simulation on Forage: June 2024

  • Completed a job simulation involving data management skills for Commonwealth Bank's Data Science team
  • Demonstrated proficiency in creating data engineering pipelines to aggregate and extract valuable insights from datasets, optimizing data-driven decision-making.
  • Acquired skills in anonymizing personal data within datasets, ensuring compliance with data privacy regulations.
  • Proposed effective data analysis approaches, particularly related to social media, and demonstrated the ability to design well-structured databases for efficient information management.
  • BCG Data Science Job Simulation: June 2024

  • Completed a customer churn analysis simulation for BCG analytics demonstrating advanced analytics skills, identifying essential client data, and outlining a strategic investigation approach
  • Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation.
  • Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn.
  • Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis
  • TATA Data Visualization: May 2024

  • Completed a simulation involving creating data visualizations for Tata Consultancy Services
  • Prepared questions for a meeting with client senior leadership
  • Created visuals for data analysis to help executives with effective decision-making

  • Skills

    Python: ⭐⭐⭐⭐⭐
    Ms Excel: ⭐⭐⭐⭐⭐
    Data Analytics: ⭐⭐⭐⭐⭐
    Data Visualization: ⭐⭐⭐⭐⭐
    Data Modelling: ⭐⭐⭐⭐⭐
    Machine Learning Algorithms: ⭐⭐⭐⭐⭐
    Power BI: ⭐⭐⭐⭐⭐
    My SQL: ⭐⭐⭐⭐⭐
    Data Science: ⭐⭐⭐⭐⭐
    Jupyer Notebooks: ⭐⭐⭐⭐⭐
    NLP: ⭐⭐⭐⭐
    Financial Analysis & Reporting: ⭐⭐⭐⭐
    Tokenization: ⭐⭐⭐⭐
    ETL: ⭐⭐⭐
    Django Web Development: ⭐⭐⭐
    HTML: ⭐⭐⭐
    Data Engineering: ⭐⭐
    Automation and APIs: ⭐⭐