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Data Science with less than a year in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring data scientist with a strong foundation in data analysis, machine learning, and statistical modeling. Proficient in Python, SQL, and data visualization tools, with hands-on experience in predictive analytics, exploratory data analysis, and data-driven decision-making. passionate about leveraging data science methodologies to extract meaningful insights and solve real-world problems.
EldoHub
Certificate · Digital Marketing & Social Media Management
April 1, 2026 – Present
Moringa School
Certification · Data Science
October 1, 2023 – May 1, 2024
Machakos University
Bachelor · Computer Science
September 1, 2018 – December 1, 2022
Kaplong Girls High School
Kenya Certificate of Secondary Education (KCSE)
January 1, 2014 – January 1, 2017
Brooklyn Economic Consulting
Data Collector
May 5, 2024 – June 24, 2024
Nairobi, Nairobi, Kenya
Kenya Revenue Authority (ICDN)
ICT Attachee
January 1, 2022 – March 1, 2022
Nairobi, Nairobi, Kenya
H1N1 Vaccination Status Prediction
June 21, 2026 – Present
Developed classification models using data from the National 2009 H1N1 Flu Survey to predict vaccination uptake based on demographic, behavioral, and health factors. Identified key drivers of vaccination uptake, achieving over 85% prediction accuracy.
View ProjectReal Estate Investment Prediction with Zillow Data
June 21, 2026 – Present
Analyzed historical median house prices from Zillow to predict top real estate investment locations in the US. Successfully identified high ROI locations using time series forecasting, improving investment accuracy by 15%.
View ProjectCar Price Prediction Using Regression
June 21, 2026 – Present
Led a team to develop a predictive model for estimating car prices based on multiple factors using regression analysis. Identified significant factors influencing car prices, achieving a model accuracy of 90%.
View ProjectCultural Fit Analysis
The candidate's project diversity (health, real estate, automotive) and academic background (Computer Science, Data Science certification, Digital Marketing) suggest an adaptable individual with broad interests. The personal projects indicate initiative and a self-driven approach to learning and applying data science concepts. The limited professional experience in core data science roles means cultural fit in a professional data science team setting is yet to be fully demonstrated, but the project work shows a proactive and collaborative spirit (e.g., 'Led a team' in Car Price Prediction).
Soft Skills & Operational Fit
The candidate demonstrates problem-solving and communication skills through project descriptions and academic background. The brief experience as a Data Collector suggests attention to detail and professionalism in data handling. The ICT Attachee role indicates a foundational understanding of system maintenance and troubleshooting, which can be beneficial for operational aspects of data science, though not directly related to core data science tasks.