Yeabkal Kiber

Jessup,MD

Summary

Data-focused Technology Professional with 3 years of experience in machine learning, data analysis, and networking
Proficient in Python, SQL, Tableau, and Cisco Packet Tracer for data processing, visualization, and network simulation
Experienced in analyzing datasets to extract actionable insights supporting data-driven decision-making
Capable of designing and simulating robust network infrastructures using industry-standard tools
Strong understanding of data handling, querying, and visualization techniques
Enthusiastic about applying machine learning techniques to real-world problems
Adept at working in dynamic, fast-paced environments and adapting to new technologies
Committed to continuous learning and contributing to innovative data and network solutions

years of professional experience

Certification

MMCXY TECH (Yoono.ai)

Remote

12.2024 - 03.2026

Analyzed complex datasets to generate insights, optimizing business decisions and strategies
Developed data models, visualizations, and reports to enhance operational efficiency
Utilized statistical tools and machine learning to identify trends and drive data-driven growth
Collaborated with cross-functional teams to improve data accuracy and reporting processes
Developed dashboards using Tableau for data visualization and reporting
Collaborated with cross-functional teams to identify key performance indicators (KPIs)
Assisted in data cleaning and preparation for analysis projects
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of resource placement
Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities
Reduced data redundancy with effective data modeling, ensuring optimal use of storage resources

WebSprix

Remote

07.2023 - 11.2024

Assisted in designing and configuring network infrastructures, contributing to improved system reliability and reduced downtime
Developed and maintained web applications, enhancing user experience and increasing site engagement by 20%
Designed and implemented Python scripts to automate data processing tasks
Collaborated with cross-functional teams to enhance application features and functionality
Conducted code reviews to ensure adherence to best practices and maintainability
Developed unit tests to verify functionality and reliability of software components
Participated in Agile development processes, contributing to sprint planning and daily stand-ups
Collaborated closely with team to create story points and plan sprints
Increased code reusability with modular programming techniques, facilitating faster development cycles
Key Project: Developed a Biometric Security API using Siamese Neural Networks for face recognition, including data preparation, model training, testing, and optimization, demonstrating hands-on expertise in machine learning, deep learning, and computer vision

Addis Ababa Science And Technology University

Addis Ababa, Ethiopia

Programming & Querying: Python, SQL
Data Analysis & Visualization: Tableau, Excel, Dashboards
Data Processing & Modeling: Data Cleaning, ETL, Data Transformation
Machine Learning & Statistics: Supervised Learning, Feature Engineering, Trend Analysis

Tools & Technologies: Jupyter Notebook, Git/GitHub, Cisco Packet Trace
Business & Collaboration: KPI Tracking, Reporting, Cross-functional Teamwork
Additional Expertise: Network Basics, Web Development, Computer Vision

Advanced Learning Algorithms – DeepLearning.AI, Stanford University
Supervised Machine Learning: Regression and Classification – DeepLearning.AI, Stanford University
CCNA: Introduction to Networks

MMCXY TECH (Yoono.ai)

12.2024 - 03.2026

WebSprix

07.2023 - 11.2024

Addis Ababa Science And Technology University