Dave Wabwile
@davewabwile
Results-driven technologist specializing in AI/ML and Cloud DevOps.
What I'm looking for
I am a results-driven technologist with a specialization in AI/ML, Cloud DevOps, and Cybersecurity. My hands-on expertise in Python, Kubernetes, and VoIP systems allows me to design scalable solutions and optimize IT infrastructure effectively. I thrive on tackling challenges head-on with innovative tools and agile methodologies, consistently delivering actionable insights that drive significant business impact.
In my current role as an IT Support Engineer II at CCI Kenya, I resolve complex hardware, software, and network issues, ensuring seamless operations and minimizing downtime. Previously, as an Operations Engineer at Prodapt Solution Pvt Ltd, I ensured 100% uptime by monitoring and optimizing network operations while leading incident management initiatives. My project experience includes developing a comprehensive call center solution and designing a machine learning model for customer churn prediction, showcasing my ability to leverage technology for strategic decision-making.
Experience
Work history, roles, and key accomplishments
IT Support Engineer II
CCI Kenya
Aug 2022 - Present (2 years 10 months)
Responsible for resolving complex hardware, software, and network issues to ensure seamless operations. Maintained IT infrastructure to minimize downtime and enhance performance while collaborating with teams to deploy solutions and optimize user support services.
Operations Engineer
Prodapt Solution Pvt Ltd
May 2019 - Feb 2022 (2 years 9 months)
Ensured 100% uptime by monitoring and optimizing network operations. Collaborated across teams to streamline workflows and automate processes, leading incident management efforts to reduce downtime through root cause analysis.
Project Experience - Secure Call Center System
Self Employed
Developed a comprehensive call center solution using Asterisk, featuring call masking and IVR. Created a responsive real-time dashboard in Node.js for live call tracking and analytics to enhance agent efficiency.
Project Experience - Churn Prediction Model
Self Employed
Designed a machine learning model using XGBoost and Random Forest to predict customer churn with 85% accuracy. Engineered features from call logs and billing data using Pandas, visualizing insights with Seaborn for strategic decision-making.
Project Experience - Cloud IT Management
Self Employed
Automated IT support workflows for over 500 endpoints using Azure and Intune. Deployed Docker and Kubernetes for microservices architecture, enabling quicker updates and improved system reliability.
Education
Degrees, certifications, and relevant coursework
Kirinyaga University
Bachelor of Computer Science, Computer Science
Institute of Advanced Technologies
Diploma in Business Information Communication Technology, Information Communication Technology
Martial School Of IT
Data Analytics, Data Science
Power Learn Academy
Software Engineering, Software Engineering
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
dondave.netlify.appSocial media
Job categories
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