Transforming complex data into actionable insights that drive business growth. Specializing in data engineering, machine learning, predictive analytics, and data visualization with 5+ years of experience.
I'm a Results-driven Business Intelligence Analyst and Data Engineer with over 5 years of experience in data analytics, engineering, and cloud technologies. Skilled in designing and optimizing ETL pipelines, automating workflows, and creating data-driven insights through dashboards and reports. Proficient in Python, SQL, and BI tools like Power BI and Tableau, with hands-on experience implementing scalable solutions on AWS and Azure platforms.
Adept at collaborating with cross-functional teams to translate business needs into actionable insights that support decision-making and improve operational efficiency. Experienced in managing complex data projects including CRM customization, data cleansing, and process automation to drive measurable results and business value.
Built a machine learning model to predict customer churn with 92% accuracy, helping reduce customer retention costs by 30%.
Created an interactive dashboard that forecasts sales trends and provides actionable insights for inventory management.
Developed a real-time sentiment analysis system for social media monitoring using deep learning and natural language processing.
Implemented an anomaly detection system that identifies fraudulent transactions in real-time with 99.2% accuracy.
Built a collaborative filtering recommendation system that increased user engagement by 40% and sales conversion by 25%.
Designed and implemented a scalable real-time analytics platform processing 1M+ events per second using cloud technologies.
I'm always excited to take on challenging data problems and help businesses unlock the full potential of their data. Whether you need support with data strategy, machine learning model development, or analytics implementation — I'm here to help.
Email: jamesngugi967@gmail.com
WhatsApp: Chat on WhatsApp
Location: Nairobi, Kenya
I regularly share data science, analytics, and engineering insights on Medium.