Ephrem Mekonnen Merid

EPHREM MEKONNEN MERID SOFTWARE ENGINEER Phone: - | LinkedIn: linkedin.com/in/ephremmekonnen | Location: Addis Ababa, Ethiopia Email:- PROFESSIONAL SUMMARY Dynamic software engineer with 2+ years of experience in data analytics, machine learning, and web development. Proven expertise in Python scripting and Go High Level (GHL) platform administration for developing custom automations and optimizing workflows. Passionate about leveraging AI to drive innovative solutions in industries like real estate and finance. TECHNICAL SKILLS Programming Languages: Python, Django, Flask, SQL (PostgreSQL, MySQL) Data Analytics & Machine Learning: NumPy, Pandas, Matplotlib, Scikit-learn, XGBoost Automation Tools: GHL Administration, API Development, Python Automation Other Tools: Streamlit, Notion, Scrapy, Beautiful Soap PROFESSIONAL EXPERIENCE Software Engineer, Rahove Sep 2022 - Dec 2024 Conducted sales forecasting for Rossmann Pharmaceuticals using machine learning models. Utilized GHL workflows to optimize sales pipeline operations. Built predictive models to assign risk probabilities and optimize loan durations for Bati Bank. Machine Learning Engineer Intern, Dan Energy Jun 2024 - Oct 2024 Analyzed historical insurance claims data to optimize marketing strategies and identify low-risk customers. Built Python scripts to streamline data processing and generate actionable insights. Designed and implemented automations on the GHL platform for enhanced customer outreach KEY PROJECTS Financial News and Stock Price Integration Developed Python scripts to analyze correlations between financial news sentiment and stock price trends. Automated workflows using GHL to generate real-time insights for stakeholders Customer Engagement Analytics Designed dashboards and reports to track user engagement using GHL and Tableau. Automated notification triggers based on user behavior patterns. EDUCATION Bachelor of Science in Software Engineering Sep 2020 - July 2025 Software Engineering, Arbaminch University 10 Academy | Remote Sep 2024 - Nov 2024 Data Engineering: Mastery in Data Warehousing, DBT transformations, and Big Data solutions. Machine Learning: Hands-on expertise in Statistical Modeling, Predictive Analytics, and MLOps using DVC & MLFlow. Deployment: Proficiency in CI/CD pipelines, Docker, and deploying scalable web applications. ADDITIONAL INFORMATION Languages: English, Amharic Certifications: 10 Academy Machine Learning Bootcamp Awards/Activities: Most Innovative Employer of the Year (2023)