Welcome To
My Personal Portfolio
I am a Junior Data Scientist | AI Engineer with a strong exposure to Python and Machine Learning. I have worked on massive datasets applying machine learning algorithms. Therefore, I am ready to join a data science team who are working on data analysis or any AI complex projects.
Projects
Domain Adaptation for Segmentation Tasks via GAN
A combination of domain adaptation and generalization techniques is proposed by leveraging domain-invariant image translations for image segmentation problems
- DaSeGAN
- DaSeGAN-S
- DaSeGAN-T
Predicting Total Market Value for Football dataset from Transfermarkt
I built a predictive model using machine learning regression algorithms to predict the market value of professional football players.
- Python
- Pandas
- Numpy
- Linear Regression
ML based Neural Networks for Autonomous Vehicle
Successfully trained a self driving car using Convolution neural networks (CNN) using a simulator provided by Udacity.
- 0pencv-python
- pandas
- numpy
Technologies
I've worked on different AI technologies ranging from Machine Learning to Computer Vision Projects.
Python
Experiece with
Tensorflow, NumPy, Pandas & Keras.Data Analysis
Experience with
Machine Learning AlgorithmsR programming
Experience with
data visualization & time series analysis
About Me
I am Eskinder Tsegaye Defar , currently studying M2 Mechatronics, Machine Vision & Artificial Intelligence at University of Paris Saclay. I am more interested in artificial intelligence particularly in Machine learning Algorithms. I am ready to work as a data scientist, ML engineer | AI researcher.
2018
Started my journey
2019
Did ML Internship at Microsoft Technology Associate
2020
Completed intensive AI Courses
2021
Shared my projects with the world
2022
Started my own platform
Personal Achievements
2+
Reviewed AI research papers on IEEE Big Data Mining & Analytics Journals
1+
Gold Medal for Excelling in 1st year exam result
90+
Completed ML Internship with Python
87+
Completed Bachelor degree in the 1st Class with Distinction