Dave WabwileDW
Open to opportunities

Dave Wabwile

@davewabwile

Results-driven technologist specializing in AI/ML and Cloud DevOps.

Kenya

What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for growth in AI/ML and Cloud technologies.

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

CK
Current

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.

SE

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.

SE

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.

SE

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

KU

Kirinyaga University

Bachelor of Computer Science, Computer Science

IT

Institute of Advanced Technologies

Diploma in Business Information Communication Technology, Information Communication Technology

MI

Martial School Of IT

Data Analytics, Data Science

PA

Power Learn Academy

Software Engineering, Software Engineering

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