Data Scientist & Data Engineer specializing in turning raw, complex data into reliable systems, actionable insights, and business-ready solutions. I work across the full data lifecycle—from data collection, cleaning, transformation, and pipeline development to statistical analysis, machine learning, visualization, and reporting. I’m experienced with Python, SQL, ETL/ELT workflows, data modeling, APIs, automation, databases, and cloud-based data solutions. I can help businesses build scalable data pipelines, improve data quality, automate repetitive processes, develop predictive models, and create clear dashboards that support better decisions. I bring a practical, engineering-focused approach to every project: understanding the business problem, selecting the right solution, writing maintainable code, validating results, and communicating findings clearly to both technical and non-technical stakeholders.