AI/ML Engineer, Data Scientist
Summary
I did volunteer internships and developed various projects in the during my university education. I
have developed and published different studies on Artificial Intelligence and Data Science for the
private sector and academia Since 2019. Especially I develop projects in the fields of Data
Cleaning, Data Manipulation, Data Analysis, Machine Learning (ML) algorithms, Artificial Neural
Networks (ANN), Deep Learning (DL), Natural Language Processing (NLP), Image Processing, Data
Privacy, Data Security, Edge Computing, Cloud Computing I develop projects in the fields of IoT
and AIoT. I worked as a freelancer in global projects using Front-end web and mobile development
technologies for a year. I want to continue my career in Artificial Intelligence and Data Science by
using up-to-date technologies.
Expectations
I prefer a job where my own ideas are valued and where I have the opportunity to develop myself.
Employment Preferences
Expected Base Salary
**,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- C++
- Matlab
- Python
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Scikit-Learn
- Scipy
- Tensorflow
- Keras
- PyTorch
- Natural Language Processing
- Machine Learning Algorithms
- Artificial Neural Networks
- Deep Learning
- Hadoop
- Apache Spark
- SQL
- Orange
- Rapid Miner
- Knime
- Weka
- Twint
- Texblob
- Vader
- Afinn
- Hugginface
- Transformers
- CNN
- LSTM
- RNN
- Opencv
- Yolo V3
- Amazon Web
- Services
- AWS
- Cloud Computing
- Edge Computing
- Arduino Ide
- Robotics
- IoT
- AIoT
- Ionic-Capacitor
- Apache Cordova
- ReactJS
- React Native
- Angular
- TypeScript
- HTML5
- CSS
- JavaScript
- JQuery
- BootStrap
- Git
- Unity 2D-3D
