Mathew Kemboi
Data Analyst
Dublin,Dublin
Summary
Highly ambitious,detailed oriented and efficient data analyst focused on delivering quality results to drive business decisions.Developed extensive experience in Machine Learning,statistical intelligence,visualizations,database management and programming languages like Python,R,SQL and C++.Highly experienced in conducting statistical analysis,running visualizations and database management with tools like Power BI, Jupyter Notebook,Tableau, RapidMiner,RStudio,SQL Server Management Studio,MongoDB and Streamlit.An 8 year proven success in leading startup businesses to expand its operations and enhancing their productivity. Comprehensive understanding of statistical analysis and data visualization tools such as Jupyter Notebook,Visual Studio,Streamlit,Microsoft Power BI,Rstudio,SQL and Tableau. Dedicated in meeting business targets through proactive and effective prioritizatiin of tasks and meeting deadlines.Effective team player and communicator with a positive attitude towards work and ready for an exponential career growth through added responsibilities.
Overview
14
14
years of professional experience
Work History
Data Analyst
MzalendoNet Fiber Limited
04.2016 - 06.2024
- Data extraction for insights like device connections,bandwidth consumption,internet speed and latency,peak usage hours,downtime and outages.
- Conducting churn analysis and assessment of client retention metrics.
- Simulation of database management systems for data querying and operations using SQL Servers.
- Handling,storage,and modification of data using MySQL Servers.
- Building machine learning models for data analysis using Python and R programming languages.
- Visualization of analytical results using Tableau,Jupyter Notebook,Rstudio, PowerBI,Matplotlib,Seaborn, and Tableau tools
- Hands-on experience in running ETL Processes especially for pipeline development and data cleaning
- Conducting A/B testing and offering the management insightful details for better decision making.
- Analysis of digital assets to produce actionable insights using regression and classification algorithms like Random Forest,Ensemble Learning,Logistic Regression,ARIMA,LSTM,KNN and Decision Trees.
- Working with IT teams to resolve data related issues and ensure data efficiency.
Intern
Kenya Bureau of Standards
04.2014 - 06.2014
- Conducting verification,labeling and extracting samples from products for analysis.
- Conducting examination of digital records,packaging,safety standards,and product specifications.
- Conducting analytical processes on products to check for compliance with regulatory standards.
- Conduct statistical analyses on product quality parameters to ensure compliance with regulatory standards
- Interpretation of results from lab tests to determine quality products
- Developing visualizations to provide an overview of product findings and key metrics from the analysis
- Drafting reports on key findings from the analysis and recommendations for improving product quality and regulatory standards for the safety of consumers
- Make evidence based recommendations to key stakeholders on the quality of their products,supply chain management,storage and manufacturing processes.
- Collaborate with manufacturers on improving production and distribution processes based on analytical insights to improve industry standards.
- Conduct frequent data simulations to monitor product trends and changes in consumer behaviors.
Data Entry Clerk
Tuskys
01.2010 - 04.2011
- Developed a seamless data collection framework from various departments including sales,marketing,supply chain,transport and logistics, security,production,warehouse,and front office to collect data from different sources for efficient reporting and analysis.
- Conducted data entry tasks successfully and efficiently for the company.
- Analyzed data findings through computational analysis in Excel,Google Spreadsheets and internal databases.
- Created visualizations to communicate important insights like sales for each product and consumer spending to support target marketing.
- Interpreted the results and noted down key findings like daily product preferences,sales,churn rate,consumer behavior,complaints,payment methods,shopping frequency.
- Provided data driven insights to marketing department to align the company's campaigns based on shopping behavior and transactions.
- Monitoring stock data to manage and optimize sales
- Minimize human errors by streamlining workflows automation of processes and operations which eliminated manual input.
Education
Master of Science - Data Analytics
Dublin Business School
Dublin, Ireland09-2025
Bachelor of Science - Forensic Science
Kenyatta University
Nairobi12-2015
Skills
- Problem Solving,Critical Thinking,Attention to Detail,Time Management,Research Skills,Communication Skills,Analytical Thinking,Data collection,Data visualization,Report preparation,Presentations
- Google Colab,SQL Server,SQL Server Management Studio, Tableau,Rstudio,Python,Jupyter Notebook,MATLAB,Visual Studio,Drawio,LucidChart,Tableau,Microsoft Power BI,MongoDB, Amazon redshift
- Predictive modeling
- Machine Learning-Logistic Regression,RF,XGBoost,CNN,KNN,Decision Tree,Linear Regression,GLM,Ensemble Models
- Programming: Python,Java,R,C
- Advanced data mining
- Model development
- Natural language processing
- Database Management
- Clustering techniques
Soft and Hard Skills:
Software skills:
Machine learning:
- Predictive analytics: Rstudio Skills,Python analytics,Machine Learning Models
- Time series analysis
- Data warehousing
- ETL Pipeline Management
- SQL databases
- ERD
- Relational Database
- Web scraping
- NoSQL databases
- RDBMS
- ETL processes
Database Management:
References
1.Gideon Kimutai,
Business Intelligence Analyst,
Mzalendonet Fiber Ltd.
Phone Number: +254 728 403044
Email Address: gidikim.gk@gmail.com or accounts@mzalendonet.co.ke.
2. Kevin Kosgei
Forensic Data Analyst,
Directorate of Criminal Investigations,
P.O.Box 254701732767,
Nairobi.
Phone Number: +254717259356
Email: vinkosgei@gmail.com
3.Leonard Kikwai,
Project Manager,
Mzalendonet Fiber Limited,
P.O Box 36644-00200,
Nairobi.
Phone Number: +254710109060
Email: kikwaileonard@gmail.com
Timeline
Data Analyst
MzalendoNet Fiber Limited
04.2016 - 06.2024
Intern
Kenya Bureau of Standards
04.2014 - 06.2014
Data Entry Clerk
Tuskys
01.2010 - 04.2011
Master of Science - Data Analytics
Dublin Business School
Bachelor of Science - Forensic Science
Kenyatta University
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