Machine Learning Data, Data Science, Data Engineering, Data Entry

Yonatan Embiza Tadesse

Professional Summary

I have a Strong background in System Prototyping and Development, Machine Learning and Artificial Intelligence Technologies, Communications Technologies, Signal Processing and Signal Analysis. I Received MSc Degree in Mobile & Satellite Communications Engineering from University of Bradford, United Kingdom and BSc in Electronics and Communications Engineering from Mekelle Institute of Technology, Ethiopia. And recently, I have conducted a two-year comprehensive coursework study majoring in Artificial Intelligence from Ajou University, South Korea. I have also received various short-term courses in analytical thinking, teamwork, professional computer programming, project management and leadership and professional project skills.

I have more than ten-year of experience and served in various positions in a security firm in Ethiopia. From junior applied researcher to consultancy positions and have acquired comprehensive knowledge and skills in fields of signal intelligence, system modeling and prototyping, software development, data analytics and applications of Machine Learning and Deep Learning technologies.

Skills

Machine Learning Algorithm

Development and Data Modeling

Deep Learning and Artificial Neural

Network Design and System Modeling

Sequence Models and Functional

Programming for Deep Learning

networks

Python Programming and Neural

Network Architecture§ Data Analysis,

Data Visualization and Data

Preprocessing

Mathematical Optimization and

hyperparameter Tuning

TensorFlow, Pytorch, Scikit-Learn and

Keras frameworks

Strong Problem Solving and Project

Skills

Project Management and

Organizational Skills

Agile and PRINCE2 Methodologies Algorithm Design and System Prototyping

Proficiency in Python, R and MatLab

(Excellent Command in R, C# and Java

computer languages)

Applied Research and Research

Methodologies

Accomplishments

Field of accomplishment: Applications of Machine Learning, System Development, Project Management and Leadership

Developed ML algorithms and System Models for different small to medium sized 40 E Oak St, Chicago, Illinois 60611 United States

+1 (312) 889 - 2009

*******.*********@*****.***

Sep 2020 Jul 2022

Jul 2019 Jul 2020

Oct 2011 Jul 2019

Jul 2008 Nov 2011

projects

Consulted and participated in various nationwide projects, such as Communication Protocol and Modulation Detection, Identification and Classification, Voice Recognition, Signal Direction Finding, Network Protocol Classification, Anomaly Detection, Network Attack Detection and Classification, Remote Signal Collection and Monitoring projects Established and organized different divisions and project teams Developed a companywide data science and machine learning roadmaps Helped and actively participated in producing documents for organizational job descriptions for various job families

Capacity building and Training junior engineers and researchers in areas of System Prototyping, Data Science and Machine Learning Technologies Experience

Arteficial Intelligence Research

Ajou University Suwon-si, South Korea

As a PhD research student majoring in Artificial Intelligence and Machine Learning I worked, in the PlanetLabs at Ajou University, on anomaly detection and modeled neural and deep learning networks targeting on devising and building new methodologies for detecting, identifying and classifying different Network attacks.

Studying and applying different ML and AI algorithms in Network Security and anomaly detection applications.

Among the Tasks and Skills acquired during the past two-year research work at Ajou University are Reinforcement Learning, Convolutional Neural Networks (CNN), Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNN - GRU & LSTM), Scikit-Learn, Keras, PyTorch, TensorFlow, Intrusion Detection, Data Visualization, Deep Learning, Machine Learning algorithms, Artificial Intelligence (AI), Computer Vision, Python and R (Programming Language), LeNet, AlexNet, ResNet, Transformers, GANs, Auto-encoders and other advanced aspects of AI and ML technologies. Machine Learning and Data Science Application Development Team Leader Information Network Security, INSA Addis Ababa, Ethiopia Developing ML algorithms and Models

Establishing and Organizing Data analytics research team Developing roadmaps for Data Science, ML and AI technologies Training and capacity building on Data Science and ML application Data Analytics Team Lead and Signal Intelligence Researcher INSA Addis Ababa, Ethiopia

Signal Research and Data Analytics Team Leader

Applying Data Science and Machine Learning technologies on real-world problems Conducting applied research on signals and signal analysis tools Acquiring and analyzing communication signals

Prototyping signal analysis tools and systems

Electronics and Communication Engineer

INSA Addis Ababa, Ethiopia

Developing Remote Signal Interception and Collection Systems Aug 2022

Dec 2013

Jul 2008

Aug 2022

Developing Signal Analysis Tools

Conducting Technology Trend Studies

Applied Research on SIGINT and ELINT technologies

Education

Advanced Coursework : Artificial Intelligence

Ajou University SUWON-SI, GYEONGGI-DO, South Korea GPA: 4.2/4.5

Graduated in top 96% of class.

Computer Programming for AI and Data Processing (using Python) Advanced Machine Learning

Theory and Applications of Reinforcement Learning

Human Centered Artificial Intelligence

Social Media Analytics (using Python and R)

Information Retrieval Advanced Database

Master of Science : Mobile and Satellite Communications Engineering University of Bradford Bradford, England, UK

Graduated with distinction.

Advanced Project Skills

Mobile Applications in C#

Advanced Networking Protocols

Digitals Communication Principles

Advanced Digital Signal Processing

Mobile, Wireless and Satellite Communications

Bachelor of Science : Electronics and Communications Engineering Mekelle Institute of Technology Mekelle, Ethiopia Programming in C and OOP with C++

Signals and Systems, Analogue & Digital Electronics Microprocessor and Controllers

Digital Signal Processing

Information Theory & Coding and Digital Communications Communication Networks, Microwave and Satellite Communications Fiber Optic, Wireless and Mobile Communications

Artificial Intelligence Specialization : Artificial Intelligence Coursera

Neural Networks and Deep Learning

Improving Deep Neural Networks

Structuring Machine Learning Projects

Convolutional Neural Networks

Sequence Models

Scientific Computing and Python for Data Science and Machine Learning and Statistical Jun 2020

Jun 2020

Analysis

WorldQuant University

Program flow, data structures

Data structures, algorithms, functions, classes

Data formats

Multi-dimensional arrays and Vectorization in NumPy DataFrame, Series, Data Ingestion and Transformation with pandas Data aggregation in pandas

SQL and Object-Relational Mapping

Data munging

MCPD – Microsoft Certified Professional Developer: Computer Programming MCPD Training Centre Addis Ababa

Core windows forms technologies with Microsoft Visual studio 2005 Advanced windows forms technologies with Microsoft visual studio 2005 Core data access with Microsoft visual studio 2005 Advanced data access with Microsoft visual studio 2005 Core foundations of Microsoft .NET 2.0 development Advanced foundations of Microsoft .NET 2.0 development Advanced distributed application development with Microsoft visual studio 2005 Visual studio 2008 ASP.NET 3.5

Developing web applications using Microsoft visual studio 2008 Languages

English, Advanced

Awards

Fully Funded Scholarship: An award to study abroad (Master of Science, Personal, Mobile and Satellite Communication Engineering), University of Bradford – United Kingdome, England, September-2012

Top Prize for 2007 Mathematics Short Course and Competition - Differential Equations and Numerical Methods, July 2007

Fully Funded Scholarship: Mekelle Institute of Technology, Mekelle, Tigray, Ethiopia (Bachelor of Science full scholarship, 2003)

Publications

Pattern Augmented Anomaly Detection for DoS/DDoS Attack Classification Using a Lightweight CNN

References

Young-June Choi - Professor, Ajou University – School of Artificial Intelligence ******@****.**.**

https://www.linkedin.com/in/young-june-choi-bbb00612/ Filmon Mehari Gebre - Deputy Director, Information Network Security Agency (INSA) ******.******@*****.***

https://www.linkedin.com/in/filmon-mehari/

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