Olana Kenea Lemesa
Addis Ababa, Ethiopia
Jimma University
(2019-2023)
University of Gondar
(2015-2018)
Email: olanakenea6@gmail.com
Python
JavaScript
C++
Java
PyTorch, TensorFlow
Scikit-Learn, Pandas
Kafka, Airflow, Spark
SQL, MongoDB
Docker, Kubernetes, Openshift
Ansible
GitHub Actions
MLFlow, DVC, CML
Unit-Testing
ETL Pipeline Building
Data Visualization
ML Model Life Cycle Management
Web-Scraping
About Me
Junior Data Engineer with background knowledge on OOP programming, C++, Python, computer architecture, & relational and non-relational databases. Experience in visualization, preprocessing, data and feature engineering, and developing an end-to-end data pipeline.
Education
A project-based intensive training where I got to work on ten projects that helped me develop the following skill sets:
Machine Learning Pipeline Development
Data Engineering Principles and large Scale Implementations
WEB 3 dAPP Development
Statistical Reasoning
Jimma University (2019-2023)
Advanced Neural Networks (CNN, RNN)
Advanced Computer Networks
Distributed systems
Mobile Computing
Network Security
System Administartion
University of Gondar (2015-2028)
Object-oriented Programming
DBMS
Software Development & Programming
Information retrival and Data mining
Data Structures & Algorithm Design
System Analysis & Design
Work Experience
System Administrator
Managing and automating AIX server infrastructure using Ansible for efficient operations
Overseeing VMware virtualization, managing vSphere environments, and optimizing resource allocation.
Overseeing enterprise storage solutions, backup, and disaster recovery strategies.
Implementing server monitoring, performance tuning, and security best practices.
Junior System Administrator
Provided technical support and maintenance for enterprise servers and VMware environments.
Assisted in VM deployment, configuration, and performance tuning.
Monitored system performance, troubleshot technical issues, and ensured high availability.
Supported data backup and disaster recovery planning for virtual and physical servers.
Junior IT officer
Provided IT support, including troubleshooting network, server, and software issues.
Managed IT support requests and troubleshooting for end users.
Conducted system performance analysis and provided recommendations.
The Fraud Detection Models for E-commerce and Bank Transactions project involves developing machine learning models to identify fraudulent transactions by analyzing transaction data and geolocation patterns. By leveraging features like transaction frequency, location discrepancies, and user behavior, the models detect suspicious activities in real-time. The project also includes building deployment pipelines using CI/CD tools to automate model updates and ensure seamless integration into production, providing continuous fraud monitoring, and enhancing security for users.
The Sales Forecasting project focuses on developing machine learning models to predict future sales based on historical data and various influencing factors such as seasonality, marketing campaigns, and market trends. By utilizing time series analysis and regression techniques, the model provides accurate sales predictions that help businesses optimize inventory, manage resources, and improve decision-making. The project also includes deploying the model for real-time forecasting, enabling businesses to adjust strategies and meet demand more effectively.