KIMERA RONALD-| https://www.linkedin.com/in/ronald-kimera-a8416a112/
PROFESSIONAL EXPERIENCE
Safeboda Ltd - Senior Data Analytics Engineer; Uganda
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Nov 2023 - Present
Led the development of an advanced, interactive dashboard using Python and
Streamlit, incorporating sophisticated visualizations such as Sankey diagrams for
customer journey mapping and heatmaps for customer retention analysis. This tool
significantly improved decision-making processes across multiple departments.
Developed a customer and driver classification algorithm that predicts churn with an
accuracy of 90%, enabling targeted retention strategies that reduced churn rates by
25%.
Mapped customer journeys through in-depth analysis, identifying patterns that predict
the next likely service(e.g bike rides, car rides, airtime top-ups, and others), driving
cross-sell strategies and increasing average revenue per user by 15%.
Technologies: Python, SQL, Streamlit, ETL, Apache Kafka, Apache Flink, PostgreSQL, Docker
Public Domain Publishing - Data scientist; USA
Sept 2022 - Aug
2023
- Developed a chat Q&A web app leveraging langchain, python, Streamlit and OpenAI,which
resulted in an 80% increase in user interaction and time spent on the cancer research
platform, enhancing user engagement and contributing to more informed research
discussions.
- Led the design and implementation of scalable ETL pipelines, transformed , analyzed and
interpreted complex datasets related to cancer treatment and programming languages
research into actionable insights, improving research quality and accuracy by 35%
Technologies: Python, Langchain, Keras, Tensorflow, Pinecone, scikit learn, NLP, MongoDB,
PostgreSQL
Smsone- Data Analytics Engineer; Uganda
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Jan 2020 – Sept 2022
Developed predictive models for student enrollments, academic performance and
admissions within a data warehouse system for the Ministry of Education, increasing
prediction accuracy by 40% and enabling more efficient resource allocation.
Created dynamic and interactive dashboards using Tableau, streamlining the communication
of key analytics insights to stakeholders and driving data-informed decisions.
Implemented robust ETL pipelines with Apache Airflow, and Pandas ensuring timely and
accurate data delivery and availability across the organization, reducing data latency by
50%.
Technologies: SQL,Python, Airflow,Kafka, Flask,Tableau , PostgreSQL
Andela - Data Analytics Engineer; USA
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Feb 2019 - Dec 2021
Built and optimized ETL pipelines using python and SQL reducing data processing time by
40%, which accelerated decision-making processes and improved the efficiency of
data-driven projects.
Integrated Big Data solutions into the analytics framework, enhancing the scalability and
performance of analytics operations, and enabling the processing of large datasets with 30%
increase in accuracy.
Technologies: Python, SQL, Airflow, Pandas, Numpy
EDUCATION
Bachelor of Science(Mathematics), 2018
Makerere University Kampala.
Micromasters in Data science & Statistics, 2020
MITx, Edx.
LANGUAGES AND TECHNOLOGIES
Programming Languages: SQL, Python, JavaScript
Data Tools: Apache Airflow, Flink, Kafka, Pandas, Numpy, SQLMesh, Pentaho
Data Visualization: Tableau, Streamlit, Looker, Matplotlib, Seaborn
Machine Learning: Scikit-Learn, Keras, TensorFlow, NLP
Other Tools: Docker, JIRA, Git, CI/CD,AWS
