Data Entry Specialist with Analytical Rigor
Resume:
Duncan Mang'ang'i
Data Scientist & Quantitative Analyst
BSc Computer Science · Python · R · SQL · MATLAB
******.*********@*****.***
Nairobi, Kenya
linkedin.com/in/duncanmangangii
github.com/duncanmangangii
PROFESSIONAL SUMMARY
Analytical and results-driven Data Scientist with a BSc in Computer Science and 2+ years of applied, research, and teaching experience in quantitative modelling, numerical validation, and data-driven problem solving. Proficient in Python (NumPy, Pandas, SciPy), R, SQL, MATLAB, and C, with a demonstrated record of delivering high-impact solutions in international and applied project contexts. Holds professional certifications in analytics and statistical computing. Communicates complex findings with clarity and precision in English at C2 level. Thrives in collaborative research environments and cross-functional teams.
TECHNICAL SKILLS & COMPETENCIES
Languages
• Python (NumPy, Pandas, SciPy)
• R / R Tidyverse
• SQL (PostgreSQL, MySQL)
• MATLAB
• C / C++
• Stata
Data & ML
• Scikit-learn
• TensorFlow / Keras
• Statistical Modelling
• Time-Series Analysis
• Regression & Classification
• Data Wrangling & EDA
Tools & Platforms
• Jupyter Notebook
• Git & GitHub
• Tableau / Power BI
• Excel (Advanced)
• SPSS
• Google Colab
Domains
• Numerical Validation
• Quantitative Research
• Financial Modelling
• Academic Teaching
• Technical Writing (C2)
• Applied Project Delivery
PROFESSIONAL EXPERIENCE
Data Science Consultant Mar 2023 – Present
Freelance / Independent Remote (International Clients)
–Delivered numerical validation pipelines in Python (NumPy, SciPy, Pandas) for two UK-based fintech clients, reducing data processing errors by 42%.
–Developed statistical regression and time-series forecasting models in R and Python, informing investment strategy decisions for a portfolio valued at over USD 5 million.
–Built and documented interactive SQL databases to consolidate multi-source datasets, supporting real-time analytics dashboards in Power BI.
–Applied MATLAB scripts for signal processing and numerical analysis on an applied engineering research project (Nairobi–Berlin collaboration).
–Produced technical reports and model documentation in English (C2 standard) consumed by international stakeholders across three continents.
–Leveraged domain-specific Python libraries (SciPy, StatsModels) to validate stochastic simulations and present findings to non-technical audiences.
Graduate Teaching Assistant — Data Science & Programming Sep 2022 – Feb 2023
University of Nairobi, School of Computing & Informatics Nairobi, Kenya
–Taught undergraduate modules in Python programming, SQL fundamentals, and introductory statistics to cohorts of 60+ students.
–Designed and graded assignments focused on numerical computation, data cleaning, and exploratory data analysis using Pandas and Matplotlib.
–Mentored 12 final-year students through data-driven capstone projects; three projects were shortlisted for the faculty's annual innovation award.
–Developed course notes and tutorials that improved average module pass rates from 68% to 84% over one semester.
–Assisted in research supervision for a machine learning study on agricultural yield prediction in sub-Saharan Africa.
Junior Data Analyst (Internship) Jun 2021 – Aug 2021
Safaricom PLC — Business Intelligence Unit Nairobi, Kenya
–Queried and cleaned large-scale subscriber datasets (5M+ records) using SQL and Python, supporting quarterly business intelligence reports.
–Automated Excel reporting workflows using Python scripts, saving the team approximately 12 hours of manual processing per week.
–Assisted senior analysts in building a churn-prediction model using Scikit-learn, achieving 78% classification accuracy on the test set.
EDUCATION
BSc Computer Science 2018 – 2022
University of Nairobi School of Computing & Informatics Nairobi, Kenya
–Graduated Second Class Upper Honours — GPA 3.7 / 4.0.
–Final-year dissertation: Predictive Modelling of Urban Traffic Flow Using Machine Learning (Python, Scikit-learn, MATLAB).
–Relevant coursework: Algorithms & Data Structures, Numerical Methods, Database Systems, Statistical Computing, Machine Learning, C Programming.
–Best Final Year Project Award — Faculty of Computing & Informatics, 2022.
PROFESSIONAL CERTIFICATIONS
Analytics & Data Science
–SAS Certified Specialist: Base Programming 2023
–Google Data Analytics Professional Certificate 2023
–IBM Data Science Professional Certificate (Coursera) 2022
–Certified Analytics Professional — CAP (Pending, 2024)
Mathematics, Computing & Language
–CMME — Certificate in Mathematical Methods for Economics 2023
–Microsoft Certified: Azure Data Fundamentals (DP-900) 2023
–Cambridge English: Advanced — CAE Grade A (C2) 2022
–HackerRank Python (Gold Badge) & SQL (5-Star) 2022
SELECTED PROJECTS & INTERNATIONAL EXPERIENCE
–Nairobi–Berlin Applied Research Collaboration (2023): Co-developed a numerical simulation tool in Python and MATLAB for structural load analysis, producing validated outputs presented at a joint virtual symposium.
–East African Agricultural ML Study (2022–2023): Contributed Python data pipelines and statistical modelling for an NGO-funded crop-yield prediction study spanning Kenya, Uganda, and Tanzania; findings published in an internal research bulletin.
–Open-Source Contribution — Pandas Documentation (2022): Submitted corrections and worked examples to the Pandas open-source project, accepted into the official v1.5 documentation.
–Freelance Quantitative Consulting — UK & Australia (2023–Present): Ongoing remote engagements delivering validated statistical models and technical reports for clients in finance and insurance sectors.
LANGUAGES & REMOTE WORK SETUP
Language Proficiency
–English — C2 (Cambridge CAE Grade A, Full Professional Proficiency)
–Swahili — Native / Bilingual
Remote Work Infrastructure
–Dedicated high-speed fibre internet connection (100 Mbps)
–4G LTE mobile backup for uninterrupted connectivity
–Fully equipped home office with dual-monitor development setup
REFERENCES
Academic and professional references available upon request.
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