Nairobi, Kenya
Technical University of Mombasa
(2017-2022)
Python
SQL
GitHub
Streamlit
Tableau
MLflow
Flask
AWS cloud
Docker
Jupyter Notebook
ETL
TensorFlow
Scikit-learn
Keras
Business and Data Understanding
Reporting, documentation
Remote collaboration tools
Design thinking
About me
Junior Data Engineer with background in Statistics and Computer Science. Skilled in cleaning, analyzing, visualizing and interpreting organizational data to drive growth by finding solutions through statistical techniques. Experienced in building data visualizations, preprocessing data, performing feature engineering and developing an end-to-end data pipeline.
Education
Probability and Statistics
Linear Algebra
Calculus
Stochastic Processes
Multivariate methods
Applied Time series analysis.
Project title: Statistical Analysis of prevalence of Drug Abuse among students.
Worked on real world challenges in the domains of Data Engineering, ML and Web 3 Engineering
Projects - A/B hypothesis testing, Pharmaceutical Sales prediction, ALgorand blockchain, Natural Language Processing, Twitter Sentiment Analysis and Causal Inference.
Work Experience
Duties
Designing and maintaining company website as well as other website initiatives that the company has in the pipeline.
Collaborate with both the business and technical team during software design and development phase to envision
usability-focused product experience through building prototypes and sketches using Figma and Proto.io
Collaborate in design and implementation of User Interface of a property management software by
approaching problems and ideating to provide innovative solutions (Property Management Software)
Duties
Supported KRA systems such as itax, iCMS, SAP-ERP.
Installation and maintenance of software, configuration of hardware, operating systems and supported VDI active
directory.
Customer care services by offering technical support through walk-ins and over Cisco IP phone telephony.
Implementation of security policies through Domaincontrol and antivirus.
Projects
We designed a reliable hypothesis testing algorithm for an advertiser agency to determine whether the a recent advertising campaign resulted in significant lift in brand awareness. Three approaches were used for analysis; Sequential A/B testing, Classic A/B testing and A/B testing with Machine Learning.
A pharmaceutical store wants to forecast sales in all their stores across several cities six weeks ahead of time. As a ML engineer, my focus was to build and serve an end-to-end product that delivers this prediction to analysts in the finance team. I also highlighted the important features like promo that impact the number of sales.