I am a Machine learning engineer.

I can Deploy machine learning algorithms and pipelines on Apache Spark and Implement supervised and unsupervised machine learning models using SciPy and Scikit-learn and Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow 

I made these projects in this field : 

1 - Classification for loan applications using (k-Nearest Neighbor, Decision Tree, Support Vector Machine, Logistic Regression) 

2 - Regression Model to predict the concrete strength using Keras 

3 - Computer vision model that identifies traffic signs, is it a stop sign or not? Using CV Studio 

4 - Convolutional Neural Network to recognize images from fashion MNIST dataset 

5 - build an image classifier using pre-trained models, namely ResNet50 and VGG16. 

6 - Face detection, Facial emotion recognition 

7 - Detecting breast cancer 

8 - Employee turnover Customer churn 

9 - Gender, Age prediction 

10 - Object detection 

11 - Speech recognition 

12 - Chatbots 

13 - Heart Disease detection 

14 - Parkinson Detection 

15 - Chronic Kidney Disease prediction 

16 - Malaria detection 

17 - Handwriting digit recognition 

18 - Alzheimer's disease detection 

19 - Planet disease detection 

20 - Detecting Pneumonia from X-ray Images 

21 - Detecting COVID-19 from X-ray Images 

22 - Skin Cancer detection 

23 - Brain tumor detection 

24 - Dermal disease detection 

25 - Liver disease prediction 

26 - Diabetes prediction 

27 - Histopathologic Cancer detection 

28 - Diabetic Retinopathy Detection 

29 - Cardiovascular disease prediction 

30 - Heartbeats disease classifier 

31 - Epileptic seizure recognition 

32 - ECG Heartbeat 

33 - Predicting houses prices 

34 - Fake and real news classification 

35 - Video game sales prediction

and still continue

Looking forward to working with you.