AI research Scientist
JAVIS OTIENO
University of Nairobi (Project-Based Consultancy)
Nairobi
Summary
Data-driven professional with 4+ years of experience across data management, data visualization, and information systems, covering the full data lifecycle from acquisition and cleaning to modeling and deployment. Skilled in database management (SQL), BI reporting (Power BI incl. DAX, Tableau), and building ETL pipelines and data architectures for structured and unstructured data. Consultancy background spans finance and e-commerce use cases, with experience training and supporting 50+ end-users across projects — a foundation well suited to information management or multi-team/global support roles. Full professional fluency in English (written and spoken), with strong attention to detail and a track record of translating complex data into clear, actionable insight.
Work History
Software Developer & Data Science Consultant
- Developed and deployed a full-stack web application (PHP, Yii2, HTML) that automated a university process, improving operational efficiency by 30%.
- Engineered data flows and ETL processes to handle both structured (relational databases) and unstructured data (documents, logs).
- Trained 50+ end-users through hands-on workshops and produced detailed documentation to support system adoption across teams.
- Delivered ongoing technical support and tailored training on new system features, ensuring smooth rollout and user proficiency.
Education
BSc - Software Development
Relevant coursework: Data Structures & Algorithms, Database Systems, Statistics, Artificial Intelligence, Software Engineering, Geoinformatics.
Master of Science - Data Science And AI
Skills
Data Management & Databases: SQL
MySQL
PostgreSQL
Oracle
MongoDB
QGIS
HBase; data architecture and ETL pipeline design
postgresql
Data Visualization & BI: Power BI (incl. DAX)
Tableau
QlikView
Matplotlib
Seaborn
Plotly
Excel
Programming & Analytics: Python (Pandas
Geopandas
NumPy
Scikit-learn
TensorFlow
PyTorch)
R
statistical analysis
A/B testing
data wrangling and mining
Machine Learning: Regression
classification
clustering
NLP
deep learning
time series analysis
Cloud & Big Data: AWS (S3
EC2
SageMaker)
Hadoop
Spark
Hive
Pig
Google Colab
Delivery & Tools: Git
Docker
REST APIs
Agile methodologies
MLOps
Languages: Full professional fluency in English (written and spoken)
TEACHING & MENTORSHIP
- Designed training modules and technical documentation to support tool and system adoption.
- Delivered hands-on workshops and one-on-one training for diverse, non-technical audiences.
- Translated complex data science concepts into clear, actionable guidance for stakeholders.
Projects
AutoML Fraud Detection System (FinTech) — Built an end-to-end ETL pipeline and data architecture for transactional data; applied data mining and AutoML (H2O.ai, TPOT) to detect fraud in real time, cutting false positives by 18%. Integrated with Oracle and deployed via AWS SageMaker., Sentiment Analysis Dashboard — Built an NLP pipeline to collect and clean unstructured social media data, then designed an interactive Power BI dashboard to track brand sentiment trends over time., Customer Segmentation (E-commerce) — Applied K-Means clustering and RFM analysis to segment customers for targeted marketing, with a projected 20% lift in conversion rates.
Timeline
University of Nairobi
Master of Science from Data Science And AI
09.2026 - 08.2028Read More
Software Developer & Data Science Consultant
University of Nairobi (Project-Based Consultancy)
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KCA University
BSc from Software Development
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