Position: Data Scientist/Data analyst
Category: Data Science
English level: fluent
Years of experience: 4

Time series analysis on infant and child mortality rate in Kenya from 2013 to 2018 (12/2019 - 09/2020).
 Was able to analyze the trend of infant and child mortality rate for the period 2013-2018 forecasted data on the future trend of under 5 mortality in Kenya for the next five years from 2019-2024
 Came up with recommendations on how the government can help solve the issue of
under 5 mortality because the young generation are the future of this country
 From the analysis, was able to gauge the governments’ effort on attaining the Sustainable Development Goals (SDGs) by the year 2030.

Carrefour Market Analysis using Unsupervised learning in R(May 2021)
 The aim of the project was to inform the marketing department on the most relevant marketing strategies that will result in the highest no. of sales (total price including tax). This was achieved by classifying the customers into different clusters based on their purchase behavior
NOVEMBER 2021 – JANUARY 2023
DATA AND MEASUREMENT OFFICER, INSTITUTE OF PUBLIC FINANCE 
• Data Mining from different sites such as IMF, CBK, National Treasury and coming up with analysis on how the government spends its finances in the Nation. 
• Using R and Python for Exploratory data analysis and deployment of models 
• Implementing different projects as agreed with the different donors
 • Using Tableau, Qlik Sense and Excel to come up with dashboards on the different datasets 
• Report Writing in Public Finance Management space. Grant writing and Technical writing
 • Qualitative research on different programs in the country as assigned by donors
 • Quantitative Research on topics ranging from Public debt, Own Source Revenue, Equitable share and Exchequer releases.
• Project management and implementation as well as carrying out field activities.


MAY 2022– PRESENT
DATA ANALYST CONSULTANT, POPULATION COUNCIL
Worked on a program with the girl center program on relation between climate change and population in 12 different countries. My work mainly revolved around data mining, cleaning, analysis and visualizations using R to inform on the analysis


MARCH 2020- OCTOBER 2021
DATA SCIENTIST/ANALYST, FIVERR AND UPWORK
 Extensively use the following python libraries and packages in data science-related projects; Pandas, Numpy, Scipy, Scikit-Learn, MatplotLib, Bokeh, SQLAlchemy, NLTK, Beautiful Soup, Keras, Tensor Flow, and PyTorch among others. 
 Extract data using SQL and analyze massive amounts of health, social, and crime data to mine useful insights applying the following statistical steps (Problem framing, data understanding, data cleaning, data selection, data preparation, model evaluation, model configuration, model classification/prediction on testing data, model selection, and model deployment). 
 Participate diligently on remote projects that involve modeling, predictions, and providing insights using models like decision trees, SVM, and regression models. 
 Use Weka data-mining software to extract informative data patterns by applying supervised and unsupervised algorithms such as J-48, Naïve Bayes, Random Tree, RandomForest, PART, Logistic regression, KNN, SVM, K-Means, and Decision tables in classification, regression and cluster analysis problems on Web Traffic for detecting DDoS Attack. 
 Use R programming language and Weka data-mining software to extract informative data patterns by applying supervised and unsupervised algorithms in chroni
Remote working environment
Teamwork with fellow employees
Biweekly or a monthly pay basis
open to parttime and full time roles