Harriet Ngomo | Data scientist | Data Analyst | Economist

Harriet Ngomo

Data scientist | Data Analyst | Economist

Based in Kenya

About

I’m Harriet Ngomo, an Economist and Statistician with CPA certification and advanced training in Data Science at Moringa School and Data Analysis at ALX Africa. Skilled in Python, SQL, Power BI, Tableau, Excel, SPSS and Machine Learning, I specialize in transforming complex datasets into actionable insights that drive informed decisions, foster innovation, and create societal impact. My work spans risk modeling, business intelligence, sustainable development, and public finance, with a focus on making data accessible and impactful. A recent graduate of the ALX Kenya Data Science program through a competitive scholarship, I’m passionate about using data as a powerful tool for change.

Skills

Projects

Facebook Ads Campaign Performance Analysis

Analyzed Facebook Ads data using Python and Power BI to build custom metrics and an interactive dashboard. Found high reach (78M+ impressions) but low CTR (0.01%), with strongest ROI from males aged 30–34. Recommended A/B testing, budget reallocation and landing page optimization

Student Satisfaction Survey Analysis

Analyzed student feedback survey using Python and Power BI, uncovering 70% positive responses with an average satisfaction score of 3.89/5, and provided actionable recommendations to improve student engagement

E-commerce Insights: Superstore Sales Analysis with Power BI

I cleaned and transformed the Superstore dataset for accuracy, built data models with DAX to create key measures like sales, profit, and margin, analyzed trends across regions and products and developed an interactive Power BI dashboard with filters and drill-down insights for dynamic exploration

Skin Disease Detection Using CNN

The project is an Innovative solution that was implemented to improve healthcare access in rural areas by connecting patients with healthcare professionals who can provide diagnoses, treatment, and advice remotely

Geospatial imaging for crop suitability

The project helped develop a model that assists farmers and decision-makers with key information, making agricultural planning more resilient to climate shifts,soil and weather history.

TaxPayer Risk Classification

This project uses machine learning to classify taxpayers into risk levels (Low, High) based on financial and compliance data. It aims to help tax authorities improve audit targeting, reduce evasion and support informed policy decisions.

Aviation Risk Analysis

Analyzed 60+ years of aviation accident data to identify low-risk aircraft models for business investment. Includes data cleaning, EDA, risk factor analysis and an interactive Tableau dashboard for strategic decision-making in aviation safety

Real Estate Market Analysis : Mexico & Brazil

This project explores the real estate markets in Mexico and Brazil through exploratory data analysis (EDA). By visualizing property trends and analyzing pricing patterns, the goal is to understand regional differences, price distributions and key market drivers in each country.

Education

2025

Data Science Training at Moringa school

Completed an intensive, hands-on data science program at Moringa School, focusing on foundational and advanced concepts in data analysis, machine learning and data visualization. Gained practical experience working with real-world datasets, performing exploratory data analysis, building predictive models and deploying solutions. Developed proficiency in Python, SQL and various data science libraries, while honing skills in statistical analysis, data cleaning and storytelling through data. Key competencies include: Statistical Modeling Data wrangling and preprocessing using CSV and database management Exploratory Data Analysis (EDA) and statistical summarization Machine learning model development and evaluation Data visualization using tools like Tableau & Power Bi

2024

Applied Data SCience Lab WorldQuant University

Completed a Data Science online program focused on hands-on data science projects using Python. Gained practical experience in data cleaning, exploratory analysis, machine learning (regression, classification, clustering), time-series forecasting, API development and interactive dashboards. Worked with tools like Pandas, scikit-learn, SQLite, and Plotly Dash. Collaborated through virtual environments and received mentorship via live sessions. Earned a Credly digital badge recognizing applied data science skills.

2024

Data Science at ALX AFRICA

I completed a Data Science program with ALX Kenya. This achievement represents a significant milestone in my career, where I acquired practical data science skills that I am eager to apply toward solving real-world problems

2023

Certified Public Accountants (CPA) at KCA university

In addition to my academic achievements, I am pursuing a Professional Certification in Certified Public Accountancy (CPA) and am currently at Section 4, Intermediate level. This program has equipped me with comprehensive knowledge in financial accounting, auditing, taxation and management accounting, strengthening my expertise in professional financial practices and ethical standards

2019-2023

Economics and Statistics at Masinde Muliro university

I earned a First Class Honors Bachelor’s degree in Economics and Statistics from Masinde Muliro University of Science and Technology, where I studied from 2019 to 2023.The program equipped me with strong analytical, quantitative and research skills, alongside a solid foundation in economic theory and statistical methods.e