Raphael Malims Email & Phone Number

Nairobi County, Kenya

Nairobi County, Kenya

At BPOSeats, I contribute to enhancing our CRM platform, HQZen, by collaborating with cross-functional teams to drive continuous quality improvement and agile development. My role focuses on optimizing cloud-based solutions to support our business objectives and improve customer satisfaction.Key Achievements:Cloud Strategy & Optimization: Aligned cloud integration strategies with business goals, achieving a 20% reduction in operational costs through optimized cloud infrastructure and CRM solution integration.Cloud Transformation Leadership: Spearheaded the testing and adoption of new CRM features and cloud technologies, resulting in a 30% increase in platform scalability and ensuring seamless service delivery during peak periods.Stakeholder Engagement: Acted as a trusted advisor to internal stakeholders and partners, resolving 95% of customer escalations within SLA and facilitating the introduction of five new features through agile sprint cycles.Quality Assurance Excellence: Directed testing efforts during bi-weekly sprints, ensuring all releases met 100% of functional requirements with no critical bugs in production, thereby improving release cycle efficiency by 40%.Customer Support & Retention: Investigated and resolved client issues promptly, maintaining 99% customer satisfaction and increasing customer retention by 25% through proactive communication and support.Agile Methodology Implementation: Actively participated in two-week sprint cycles, contributing to an 18% increase in team velocity and successfully delivering over 12 major product updates within a year.My role at BPOSeats has honed my skills in cloud technologies, quality assurance, and agile project management, enabling me to drive impactful improvements and deliver high-quality solutions that align with our strategic objectives.

Nairobi County, Kenya

As a passionate data engineer at Qpid, I thrived on using data-driven solutions to enhance user engagement and drive business growth. My key contributions included:- Pioneered a machine learning-based recommendation engine: By leveraging collaborative filtering and content-based filtering techniques with Scikit-learn and TensorFlow, I developed a system that boosted user engagement by 25% and improved user retention by 15%.- Engineered high-performance data pipelines: I redesigned ETL pipelines using Apache Spark and Apache Airflow on Google Cloud Dataproc, achieving a 30% reduction in processing time and seamlessly handling a 50% increase in user activity.- Uncovered valuable insights from user behavior: I dove into terabytes of user interaction data using Google Cloud BigQuery, transforming raw data into actionable reports with Tableau. This led to a significant 15% boost in user satisfaction.- Ensured system stability with real-time monitoring: I implemented a proactive monitoring and anomaly detection system with Prometheus and Grafana on Google Kubernetes Engine (GKE), successfully minimizing system downtime by 20%.

Nairobi County, Kenya

At Tsavo Real Estate, I spearheaded the development of their first-ever real-time rent revenue analysis pipeline on Google Cloud Platform (GCP). This involved:- Engineering a scalable data solution: I built an end-to-end pipeline using Kafka for real-time data streaming, Python for data processing, and Google Cloud Dataflow for serverless execution. This allowed for near-instantaneous visibility into rental income, empowering timely decision-making.- Streamlining reporting and enhancing data accessibility: Leveraging Google Cloud Storage for cost-effective storage and Google Cloud BigQuery as a centralized data warehouse, I consolidated fragmented rent records. This resulted in a 50% reduction in manual reporting time, freeing up valuable resources.- Empowering data-driven decision-making: I created interactive Tableau dashboards connected directly to BigQuery, enabling real-time monitoring of key metrics like occupancy rates and average rent. This data-driven approach contributed to a 20% improvement in revenue forecasting accuracy.- Automating processes for efficiency and accuracy: Using Cloud Functions and Cloud Scheduler, I automated data ingestion and transformation tasks, eliminating manual data entry and reducing error rates by an impressive 40%.Designing for scalability and future growth: The pipeline was built with flexibility in mind, utilizing GCP's serverless architecture to seamlessly integrate new data sources and adapt to evolving business requirements.