1. Digital Products & Partnerships Manager (Contract)

● Spearheaded end-to-end automation of Motor Insurance quotation and issuance, reducing turnaround time from 30 minutes to under 2 minutes through PowerApps, SharePoint, and Power Automate integration. ● Designed and deployed 15+ Power Automate flows and 2 dynamic PowerApps screens powering underwriting, risk note generation, and claims tracking across multiple insurers for both Medical & General Insurance. ● Integrated 8+ insurance underwriters and financiers into a unified digital insurance quotation ecosystem (FlexySure MVP), enabling real-time premium comparison and policy issuance. ● Automated Medical Fund Claims system, improving claims processing efficiency by 90% and eliminating manual errors in reimbursement computation. ● Developed data dashboards in Power BI for fund utilization, motor underwriting KPIs, and claims analytics, cutting manual reporting time by 75%. ● Trained and onboarded 10 underwriters on digital tools and automation best practices across departments. ● Collaborated cross-functionally with IT, Operations, and Product teams to implement phase-wise digital transformation roadmap for Lucent’s core business lines. ● Led documentation and knowledge transfer for continuous improvement cycles, ensuring scalability for future automation (targeting additional 5 insurers).

2. Business Intelligence Developer (Revenue Management)

● As the Teams Thrive Leader, I led a team of 27 Business Intelligence Developers through initiatives (organized design thinking sessions) that foster innovation, collaboration, and teamwork. ● Utilized Apache NiFi & Informatica (both PowerCenter & Informatica Cloud) for robust Extract, Transform, Load (ETL) processes to ensure efficient data flow automation, integrating data from multiple sources into a centralized data warehouse while ensuring data quality and consistency. ● Contributed to the development of a centralized Know Your Customer (KYC) Data Mart for the Enterprise Business Unit (EBU), enhancing data integration, customer profiling, and regulatory compliance. ● Design, develop, and maintain Business Intelligence (BI) solutions, integrating complex SQL queries to extract, transform, and analyze data for strategic insights. ● Provided BI support to the Acquisition & Retention Squad and the Anti-Money Laundering (AML) Squad, delivering data-driven solutions to support customer growth and compliance initiatives. ● Collaborated with 100+ business stakeholders to understand their data needs and reporting requirements. I supported key business units focused on compliance and 95% customer retention. ● Conducted end to end Call Detail Record (CDR) validation for Voice, SMS, data and bonga etc. on products such as Daima and Dandia, ensuring accurate reconciliation between network switches mediation systems and billing platforms. ● Ensure that BI activities comply with 100% data governance policies and standards, including data privacy laws and regulations. ● Automation of EBU commissions E1 Commissions.

Manager (Technology & Research)

● Led a team of 40 Actuarial Analysts, Data Scientists, ESG Analysts, and Data Analysts to drive technical excellence, innovation, and strategic data initiatives. ● Registered Kenbright Holdings as both a Data Controller and Data Processor with the office of the Data Protection Commissioner (ODPC) ensuring compliance with data protection regulations and enhancing organizational data governance. ● Supported vehicle.co.ke and mint health fund by automating data reporting, maintaining digital assets and streamlining operations, resulting in reduced errors, faster insights and improved customer service delivery. ● Managed the company’s digital assets and developed digital strategies including exploring emerging technologies such as Blockchain for the Mint Health Fund, to drive innovation. ● Conducted cybersecurity and phishing awareness training for 60+ staff and developed the organizations Data Protection Policy ensuring 100% compliance with the Data Protection Commissioner regulations. ● Mentored 30+ team members through regular workshops, one on one, and knowledge sharing sessions fostering a culture of continuous learning, attaining a 25% improvement in overall team performance. ● Implemented the organizations Business Continuity Plan, outlining critical processes, risk management and mitigation and recovery procedures, reducing downtime risk by 40% and improving operational resilience.

Senior Client Advocate (Safaricom)

● Reduced Safaricom's annual risk exposure through conducting comprehensive reviews of existing general insurance policies to ensure coverage adequacy, considering Safaricom's evolving needs and market change. ● Identified and resolved a KES 20B valuation error during the Annual Insurance Renewal process ensuring accurate coverage and preventing significant financial and compliance risk. ● Leveraged automation tools such as Power Automate, SharePoint and PowerApps to improve motor insurance claims turnaround time from one (1) month to two (2) weeks. ● Automated 90% of travel insurance workflows, cutting processing time from 10minutes to under 2 minutes per request. ● Reduced manual reporting time by 90+% through developing real time Power BI Dashboards, improving data visualization, interpretation and data-driven decision making across the Enterprise Risk Department.

Lead Data Scientist & Data Protection Officer

● Collaborated with 20+ cross-functional stakeholders to harness organizational data, identifying 100+ high-impact opportunities to leverage insights for data-driven decision-making and enhanced business outcomes. ● Led the automation of 300+ data collection processes and conducted in-depth data analysis to optimize product development, marketing strategies, and overall business performance, resulting in improved efficiency. ● Spearheaded Digital Transformation and Process Automation initiatives using Power Automate, SharePoint, Power BI and PowerApps, streamlining key areas including Tender Business, Approvals, Claims, and administrative processes, resulting in a 60–80% reduction in manual workload and turnaround times. ● Designed & developed automated real-time dashboards for Healthcare, Motor, Claims, and Financial data, enabling timely access to insights and improving decision-making across departments by reducing reporting time by 60%. ● Automated multi-step approval processes using workflow tools, resulting in a significant reduction in turnaround time (TAT) and improved operational efficiency across departments. ● Applied for and won prestigious awards for the company across Africa, including the Digital Tech Excellence Awards (2021), African Insurance Awards (2020), Quality Healthcare Awards (2020 & 2019) & Automotive Industry Excellence Awards (2019) enhancing brand credibility and industry recognition. ● Executed day-to-day R&D projects, ensuring a cohesive innovation strategy while managing and enhancing the company’s digital presence and brand visibility. ● Generated and presented 200+ reports and dashboards to executives and project teams, translating complex data into actionable insights that supported strategic decisions and improved business performance across 5+ departments. ● Oversaw development and updates of Data Protection Policies to ensure compliance with the Data Protection Act, and conducted regular Data Literacy trainings to enforce staff adherence. ● Mentored an office support staff, guiding her career growth and successfully supporting her promotion to Company Administrator, a testament to inclusive leadership and talent development.

AWS Machine Learning Foundation

The AWS Machine Learning Foundation program is designed to provide learners with a strong grounding in the core concepts, tools, and practical applications of machine learning (ML) using Amazon Web Services (AWS). It serves as an entry point for individuals seeking to understand how machine learning works, how data drives predictive models, and how these models are deployed in real-world cloud environments. The foundation course typically covers four key pillars: data preparation, model building, model training and evaluation, and deployment. Learners gain hands-on experience using AWS tools such as Amazon SageMaker, AWS Lambda, and Amazon S3, which streamline the end-to-end ML workflow—from collecting and cleaning data to building, training, and scaling models in the cloud. The curriculum also introduces essential machine learning algorithms (e.g., linear regression, decision trees, clustering, and neural networks) and emphasizes the importance of data-driven decision-making. Participants learn to evaluate model performance, interpret predictions, and apply ML responsibly in business contexts. Through guided labs, projects, and case studies, learners develop practical skills in: Data analysis and feature engineering Supervised and unsupervised learning techniques Model optimization and hyperparameter tuning Cloud-based ML deployment using AWS infrastructure

PYTHON PROGRAMMING

I successfully completed the Python Programming course at Safaricom, where I gained hands-on experience in coding, problem-solving, and software development using Python. The course covered key programming concepts such as data structures, control flow, functions, object-oriented programming, and the use of Python libraries for data analysis and automation.

ROBOTIC PROCESS AUTOMATION FOR ASSOCIATES

I completed the Robotic Process Automation (RPA) for Associates course at Safaricom, where I gained practical skills in automating business processes using RPA tools and technologies. The program focused on identifying repetitive tasks, designing automation workflows, and deploying bots to enhance operational efficiency and accuracy. Through hands-on projects, I learned how to streamline processes, reduce manual effort, and integrate automation into real business environments.

Data Manipulation with pandas

I completed a course on Data Manipulation with Pandas, where I developed practical skills in analyzing, cleaning, and transforming data using the Pandas library in Python. The course covered key techniques such as data importing, filtering, grouping, merging, and aggregating large datasets for analysis. I also gained hands-on experience in handling missing values, reshaping data, and creating insightful summaries to support data-driven decision-making.

Intermediate Python

I completed the Intermediate Python course on DataCamp, where I advanced my understanding of Python programming beyond the basics. The course deepened my knowledge of data structures, loops, functions, and error handling, while introducing powerful concepts such as list comprehensions, lambda functions, and working with APIs and packages. Through practical exercises and projects, I strengthened my ability to write efficient, reusable, and well-structured Python code for data analysis and automation tasks.

Introduction to Python course

I completed the Introduction to Python course on DataCamp, where I gained a solid foundation in Python programming and data analysis. The course covered fundamental concepts such as variables, data types, control flow, functions, and data structures like lists and dictionaries. I also learned how to work with libraries such as NumPy to perform basic data manipulation and analysis tasks. This course strengthened my programming logic and prepared me for more advanced topics in Python and data science.

Statistical Thinking in Python

I completed the Statistical Thinking in Python course on DataCamp, where I developed a strong understanding of how to apply statistical principles to real-world data analysis. The course covered key concepts such as probability distributions, sampling, confidence intervals, hypothesis testing, and regression analysis. Using Python libraries like NumPy, SciPy, and Matplotlib, I gained hands-on experience in performing statistical computations, visualizing data, and drawing meaningful insights from data-driven evidence.

IBM Blockchain Foundation Developer

I completed the IBM Blockchain Foundation Developer course offered by IBM, where I gained in-depth knowledge of blockchain technology and its real-world applications. The course covered the fundamentals of distributed ledgers, smart contracts, and Hyperledger Fabric architecture. I learned how to design, develop, and deploy blockchain-based solutions using IBM’s blockchain tools and frameworks. Through practical labs, I built hands-on experience in setting up blockchain networks, writing smart contracts in Chaincode (Go), and integrating blockchain with existing business systems.

AI Chatbots: Understanding Their Use, Risks and Limitations in the Workplace

I completed the AI Chatbots: Understanding Their Use, Risks, and Limitations in the Workplace course offered by Safaricom, where I explored the practical applications of AI chatbots in professional settings. The course covered how chatbots can enhance productivity, improve customer engagement, and streamline workflows, while also highlighting potential risks such as bias, data privacy concerns, and limitations in decision-making. I gained insights into designing, implementing, and responsibly managing AI-driven chatbot solutions in the workplace.

Phishing Attacks on Companies

I completed the Phishing Attacks on Companies course offered by Safaricom, where I learned to identify, prevent, and respond to phishing threats in a corporate environment. The course covered common phishing techniques, social engineering tactics, and best practices for safeguarding company data and systems. I gained practical knowledge on recognizing suspicious communications, implementing security measures, and promoting cybersecurity awareness within an organization.

Reporting Security Incidents

I completed the Reporting Security Incidents course offered by Safaricom, focused on cybersecurity best practices. The course taught me how to identify, document, and report security incidents effectively in a corporate environment. Key topics included incident classification, timely reporting, communication protocols, and mitigation strategies to protect organizational systems and data. I gained practical skills in handling cybersecurity threats responsibly while supporting company-wide security policies.