benson@loogs:~$ cat cv.txt
CV
Lead Data Scientist — telecom, CVM, and applied ML
Summary
Senior Data Scientist with 10+ years in telecommunications and fintech, specialising in machine learning, big data analytics, and predictive modelling. Led AI-driven analytics initiatives that improved customer engagement by 15% and reduced operational inefficiencies by 25%. Builds scalable data pipelines using Apache Spark, Kafka, Airflow, and SQL-based ETL workflows, with expertise in cloud data engineering (AWS), big data technologies (Hadoop, NoSQL), and statistical modelling.
Experience
- Lead a team of 11 data scientists and engineers (CVM squad), delivering 8+ ML models annually — recommenders, churn predictors, inactivity predictors, cross-sell/upsell — cutting operational costs by 25%.
- Designed and deployed an AI-powered recommendation system that increased customer engagement by 15% and boosted revenue streams.
- Developed and optimised SQL-based data pipelines, sustaining 99% data accuracy across BI platforms.
- Built and shipped a predictive churn model, enabling targeted interventions that cut churn by 20%.
- Spearheaded data governance initiatives, improving data integrity and reducing errors by 30%.
- Directed a team of 13 software engineers across 6 countries and time zones resolving production defects, cutting incident resolution time by 40%.
- Optimised Agile workflows via Jira configuration, improving sprint planning accuracy by 35% and cutting task turnaround by 20%.
- Led Salesforce CRM integration into project workflows, increasing lead tracking efficiency by 30%.
- Prevented unplanned downtime by 50% through proactive monitoring, saving an estimated $50K in revenue.
- Delivered project schedules and resource plans (MS Project) with 90%+ adherence to deadlines and budgets.
- Analysed call centre metrics to identify demand-reduction and automation opportunities.
- Built reporting systems and data models integrating multiple support data sources for customer support operations.
- Upgraded application health-check monitoring, sustaining over 99% system uptime.
- Automated routine tasks (reporting, health checks, disk clearance), improving team efficiency.
- Revamped call centre applications, improving user experience and subscriber satisfaction.
- Led roll-out and launch of T-Kash mobile financial service, creating a new multimillion revenue stream.
- Launched mobile money inter-operability service, managing cross-functional teams and partners.
- Directed User Acceptance Testing resulting in successful roll-out of the mobile money platform.
- Spearheaded data migration, consolidating databases and boosting reporting efficiency by 30%.
- Implemented an API gateway, cutting integrator onboarding time to 1 day.
- Streamlined incident management processes, achieving 99.999% availability against SLA.
- Integrated Airtel Money with banks and merchants, creating new use cases and driving revenue growth.
- Scrutinised transaction data, resolving over KES 50M in revenue-assurance reconciliation inconsistencies.
- Automated routine tasks (reporting, health checks, disk clearance), lifting uptime to over 99%.
- Implemented revenue-assurance checks and compliance procedures, mitigating fraud.
Skills
- Machine learning & AI: supervised/unsupervised learning, deep & reinforcement learning, predictive modelling
- Languages: Python, SQL
- Big data: Apache Spark, Kafka, Airflow, Hadoop, NoSQL
- Analytics & visualisation: Power BI, Qlik Sense, statistical analysis, EDA, A/B testing
- Cloud: AWS
- Data engineering: ETL pipeline development, data quality assurance
- Delivery: Agile & Scrum team leadership
Education
- BSc, Computer Engineering — Kenyatta University, 2008 – 2013
- Intermediate Certificate in Data Science and Analytics — Safaricom Digital Academy / Strathmore University, 2020
Certifications & training
- Microsoft Azure Fundamentals (AZ-900)
- Scrum Fundamentals Certified (SFC)
- Oracle Database 11g: Administration I (OCA 1Z0-052)
- Oracle Database 12c: SQL Fundamentals (1Z0-061)
- Oracle Cloud Infrastructure Foundations 2020
- AWS ML Foundations (Udacity Nanodegree)
- Data Analysis & Visualization with Power BI (Udacity)
- Data Scientist (Udacity Nanodegree)
Notes
This CV is plain HTML rather than a hosted PDF for now — easier to keep accurate as one source of
truth. A downloadable PDF can be added later (see README.md for the config change).