Ar Anas

I’m a Data Scientist with 5+ years of experience turning data into actionable solutions across Customer Experience, Operations, Finance, and Sales. I leverage data analytics, machine learning, and statistical modeling to tackle complex business problems with clarity and urgency.

In my recent role, I worked independently with minimal supervision to gather requirements and translate them into analytical frameworks. I designed scalable ETL pipelines with AWS Glue and SQL, built data marts for ML-ready structure, and ensured efficient data movement and transformation across systems.

I build predictive and NLP-driven models end-to-end—churn prediction with Scikit-learn and XGBoost, customer segmentation using clustering, and cross-sell modeling for acquisition improvements. I also develop sentiment analysis and topic modeling with NLTK and TF-IDF, plus text classification to automate ticket categorization and surface customer pain points.

I focus on communication and impact just as much as modeling. I create executive dashboards in Tableau and Power BI and present findings with PowerPoint storytelling, then train and deploy models using AWS SageMaker, integrating them into operational workflows and monitoring performance for retraining.