I have a bachelor degree of Electrical and Computer Engineering and have worked in the field of Machine Learning and Data Science for one-year. I have dealt with many projects related to computer vision, CNN, images recognition and classification, RNN and a lot more. I have also had a lot of fun developing mobile applications using Google's Flutter framework, and am currently involved in it ^^
Primary Skillset:
- Python
- Data Analytics
- Flutter, Dart, Android Studio.
- Data Visualization
- Machine Learning Algorithms: Linear, Tree-based, KNN methods.
- Deep Learning Algorithms: RNNs and CNNs, for time series forecasting and
classification.
- Libraries I use on a daily basis: numpy, pandas, sklearn, keras, seaborn, matplotlib.
I'm also familiar with Kaggels' kernels and competitions.
With the experience I've gained from working on many projects, and the powerful mathematics background I have, and my strong passion for searching and self-learning, I can help make your ideas see the light of day!