Zegeye Haile
Senior Data Analyst Data Engineer @Edward Jones Us
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WORK HISTORY
Senior Data Analyst Data Engineer @Edward Jones Us
US
Designed and deployed churn prediction models using Scikit-learn to support personalized outreach,improving client engagement and retention- Automated data workflows using Python and AWS Lambda, reducing manual efforts and improvingreport availability- Developed interactive Tableau dashboards visualizing investment KPIs, supporting quicker,insight-driven decisions by leadership- Performed exploratory data analysis (EDA) on large-scale user datasets to identify behavioral trendsthat guided product feature enhancements- Integrated structured and semi-structured data sources using AWS Glue and SQL, improving datareliability for cross-functional analytics- Collaborated with finance and compliance teams on client segmentation initiatives to enhancepersonalization and meet regulatory needs- Deployed models on AWS SageMaker for real-time scoring and monitoring, enhancing dynamicdecision systems- Mentored junior analysts on best practices in Python, AWS tools, and data visualization, fostering skilldevelopment across the team.
EDUCATION
University of Maryland Global Campus
Bachelor of Science - BS, Data Science
Eastern University
masters in data science, Data Science
Bahir Dar University
Bachelor's of Art -BA, Business Management
ABOUT ZEGEYE HAILE
I’m a seasoned Senior Data Analyst with over 5 years of experience transforming complex data into actionable insights that drive strategic decisions across finance and investment sectors. My work empowers organizations to make smarter, faster decisions through automation, advanced analytics, and cloud-integrated solutions.I specialize in building predictive models, automating data pipelines, and developing interactive dashboards using Python, SQL, Tableau, and AWS. From deploying churn prediction models and real-time scoring with SageMaker to integrating large-scale datasets using AWS Glue and SQL, I deliver solutions that blend technical rigor with real business impact- Predictive Modeling & Machine Learning (SageMaker, Scikit-learn)- Data Pipeline Automation (Python, AWS Lambda)- Business Intelligence & Visualization (Tableau, Power BI)- Cloud-Based Analytics (AWS: S3, Glue, SageMaker)- Exploratory Data Analysis & Statistical Modeling- SQL & NoSQL Databases- Mentoring & Cross-Functional Collaboration- Agile/Scrum Delivery & Stakeholder EngagementWhether designing dashboards for leadership at Edward Jones or optimizing legacy systems at LPL Financial, I’m driven by the power of data to solve real-world problems and unlock growth opportunities. I’m currently expanding my expertise in machine learning while pursuing my M.S. in Data Science.Let’s connect if you\'re building secure, cloud-first infrastructure—or looking to scale DevOps and SRE excellence across your organization.I am Open to Work! and you can connect with me via z••••••••@gmail.com
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