Hi i’m kenneth

I create digital solutions with data, marketing, and AI

Passionate about digital marketing, data analytics, and AI automation. Currently building dashboards, workflow automations, and modern digital experiences.

About Me My Projects

My Experties

I combine data, marketing, and AI to create meaningful digital solutions and drive real impact.

Data Analytics

Transforming raw data into actionable insights through analysis, visualization, and reporting.

Data Cleaning & Processing with Python
SQL & Data Querying
Dashboard Visualization
Insights & Recommendations

Digital Marketing

Building digital strategies and online experiences that help brands grow and connect with the right audience.

Content & Social Media
SEO & Website Optimization
Branding & Positioning
Campaign & Performance

AI & Automation

Exploring AI tools and workflow automation to improve efficiency and simplify repetitive tasks.

Workflow Automation (n8n)
AI Tools & Integrations
API Integration
Process Optimization

Business Solution

Solving business challenges with data-driven decisions and practical digital solutions that create value.

Business Strategy
Problem Solving
Process Improvement
Growth & Scalability

Always learning. Always building. Always improving.

About Me

I’m Kenneth, a Digital Marketer, Data Analyst, and AI & Automation Enthusiast with a background in Geophysical Engineering and business.

Currently, I’m focused on developing skills in Data Analytics, Digital Marketing, AI & Automation, and Business Development. I enjoy transforming ideas, raw data, and manual processes into practical systems that create real value and improve decision-making.

As someone who combines business understanding with technology, I’m especially interested in how data, marketing, and AI can work together to build smarter digital experiences.

Featured Projects

Data Analysis

Retail Sales Performance Dashboard

This project analyzes the Superstore dataset to evaluate sales performance, profitability, customer contribution, and shipping operations across multiple regions, product categories, and customer segments.

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Data Science

Heart Disease Prediction Using Machine Learning

This project develops a machine learning classification model to predict heart disease using patient clinical and lifestyle indicators. The analysis includes exploratory data analysis, model comparison, hyperparameter tuning, and feature importance to identify key predictors and support data-driven healthcare insights.

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Data Science

Movie Profitability Classification

This project builds a machine learning model to predict whether a movie is successful based on financial and popularity features. It covers a complete data science workflow including data preprocessing, feature engineering, handling imbalanced data, model training, evaluation, and hyperparameter tuning.

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