I will data science predictive analytics solutions with dashboards
Data science, ML engineer
Over deze dienst
I am a Data Scientist and Machine Learning Engineer specializing in predictive analytics, machine learning, forecasting, business intelligence, and AI-driven solutions. I help businesses, startups, and researchers turn raw data into actionable insights that support better decision-making.
My expertise covers the full data science lifecycle, including data preprocessing, feature engineering, model development, evaluation, visualization, and deployment. I work with data from CSV, Excel, SQL databases, APIs, and other structured sources.
I have developed solutions for customer analytics, sales forecasting, healthcare analytics, business intelligence, experimentation, and predictive modeling. My projects include customer churn prediction systems, forecasting dashboards, A/B testing frameworks, healthcare risk analytics, and machine learning pipelines.
I also build Power BI and Streamlit dashboards that transform complex data into clear, actionable insights.
My goal is to deliver accurate, practical, and well-documented solutions that create measurable value and solve real-world business problems.
Mijn portfolio
Veelgestelde vragen
What types of data science projects have you worked on?
Customer churn prediction, sales forecasting, healthcare analytics, A/B testing, business intelligence dashboards, predictive modeling, machine learning pipelines, and data visualization.
What information do you need before starting a project?
I need your dataset, project goals, expected deliverables, and any relevant business context. If needed, I can help define the best approach before work begins.
Can you work with messy, incomplete, or unstructured data?
Yes. I can clean, preprocess, transform, and engineer features from messy datasets to prepare them for analysis, reporting, and machine learning.
What makes your service different?
I deliver complete solutions combining data analysis, machine learning, forecasting, dashboards, and actionable insights, not just standalone models.

