I’m Bii Kiprono Branson, a Data Science and Analytics graduate from Jomo Kenyatta University of Agriculture and Technology (JKUAT). I enjoy using data to uncover insights that help organizations make evidence-based decisions, and I’m particularly interested in predictive analytics, churn modeling, and building reliable data pipelines. Through my internships and projects, I’ve worked with tools like Python, SQL, Power BI, Tableau, and Metabase to clean data, analyze customer and product behavior, and communicate results through dashboards and clear reporting. I’m motivated by the impact of turning raw data into actionable recommendations, and I’m excited to apply my analytics and machine learning skills in a real-world, data-driven environment.…

Bii Kiprono Branson

I’m Bii Kiprono Branson, a Data Science and Analytics graduate from Jomo Kenyatta University of Agriculture and Technology (JKUAT). I enjoy using data to uncover insights that help organizations make evidence-based decisions, and I’m particularly interested in predictive analytics, churn modeling, and building reliable data pipelines. Through my internships and projects, I’ve worked with tools like Python, SQL, Power BI, Tableau, and Metabase to clean data, analyze customer and product behavior, and communicate results through dashboards and clear reporting. I’m motivated by the impact of turning raw data into actionable recommendations, and I’m excited to apply my analytics and machine learning skills in a real-world, data-driven environment.…

Available to hire

I’m Bii Kiprono Branson, a Data Science and Analytics graduate from Jomo Kenyatta University of Agriculture and Technology (JKUAT). I enjoy using data to uncover insights that help organizations make evidence-based decisions, and I’m particularly interested in predictive analytics, churn modeling, and building reliable data pipelines.

Through my internships and projects, I’ve worked with tools like Python, SQL, Power BI, Tableau, and Metabase to clean data, analyze customer and product behavior, and communicate results through dashboards and clear reporting. I’m motivated by the impact of turning raw data into actionable recommendations, and I’m excited to apply my analytics and machine learning skills in a real-world, data-driven environment.

See more

Skills

Experience Level

Data Science
Expert
Data Visualization
Expert
Python
Expert
SQL
Expert
Power BI
Expert
PostgreSQL
Expert
Tableau
Expert
ETL
Expert
Metabase
Expert
Keras
Intermediate
TensorFlow
Intermediate
See more

Language

English
Fluent
Swahili
Fluent

Work Experience

Data Intern at Nation Media Group (NMG)
September 1, 2025 - July 31, 2026
Supported analysis of subscriber behavior, product performance, churn patterns, and revenue insights using Metabase BI. Built and evaluated a predictive churn model to identify at-risk users earlier, and improved model accuracy through data cleaning, preprocessing, and feature engineering. Automated data ingestion, model scoring, and storage of predictions into PostgreSQL by deploying the model via Prefect flows. Collaborated with cross-functional teams to translate analytical results into actionable recommendations, and prepared dashboards, summaries, and reports for data leadership and product teams. Completed a comprehensive data maturity assessment covering governance, data quality, architecture, analytics capability, and operational readiness.
Job Shadowing (Data/Analytics exposure) at Diamond Trust Bank (DTB)
April 1, 2025 - May 31, 2025
Observed banking operations across customer service, credit analysis, and digital banking, including compliance workflows and financial product structures. Worked alongside data analysts and was tasked with training a machine learning model to predict customer churn using historical bank data, applying data preprocessing, model selection, and evaluation techniques.
Job Shadowing (Machine Learning & Banking Operations) at Diamond Trust Bank (DTB)
April 1, 2025 - May 31, 2025
Observed banking operations across customer service, credit analysis, and digital banking, gaining exposure to compliance workflows and financial product structures. Participated in team meetings and training to understand client engagement strategies. Shadowed data analysts and assisted with efforts related to training a customer churn prediction model using historical bank data, applying preprocessing, model selection, and evaluation approaches.
Industrial Attachment (Data/Analytics) at Africa Centre for Data Science and Analytics (AFRICDSA)
June 1, 2024 - November 30, 2024
Conducted desktop research across sectors and performed lead mining using Apollo tools. Updated models and carried out online data scraping from Omdena datasets, KNBS, and other sources. Cleaned, updated, analyzed, and visualized data using Tableau, Power BI, and Excel, and created interactive dashboards. Uploaded learning content to the LMS and wrote reports based on data findings while managing challenges related to storage and data retrieval inefficiencies.
Industrial Attachment Intern at Africa Centre for Data Science and Analytics (AFRICDSA)
June 1, 2024 - November 30, 2024
Conducted desktop research across multiple sectors and performed lead mining using Apollo tools. Updated datasets and carried out online data scraping from sources including Omdena datasets and KNBS. Cleaned, analyzed, and visualized data using Tableau, Power BI, and Excel, creating interactive dashboards and reporting findings for learning activities. Uploaded content and notes to the learning management system (LMS) and contributed to overcoming data storage and retrieval inefficiencies.

Education

Bachelor of Science in Data Science and Analytics at Jomo Kenyatta University of Agriculture and Technology (JKUAT)
January 1, 2021 - January 1, 2025
Bachelor of Science in Data Science and Analytics at Jomo Kenyatta University of Agriculture and Technology (JKUAT)
January 1, 2021 - January 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Media & Entertainment, Financial Services, Professional Services, Other
    Real-time Analyzing and Predicting Political Instability in Kenya
    Developed an end-to-end data science project using Python, NLP, and machine learning to analyze political tweets and historical socioeconomic data. Built a sentiment and topic classification pipeline, evaluated multiple machine learning models, and developed an ensemble model and LSTM for trend analysis. Created interactive dashboards using Plotly and Dash and deployed a Flask-based web application for real-time tweet analysis and visualization.…

Hire a Data Scientist

We have the best data scientist experts on Twine. Hire a data scientist in Nairobi today.