I am a professional data scientist and have worked on various real-time and critical data science projects. I will use my knowledge of Computer Vision, Image Processing, Machine Learning, and data science skills to devise insights from the data and present it in an understandable form.
Tasks:
- Classification
- Regression
- Segmentation
- Clustering
- Noise Removal
- Data Correlation
- Image Processing
- Data Analytics
Features
+ Best Accuracy
+ Generalized Approach
+ Model explanation and report
+ Conclusions
Algorithms:
- Neural Networks
- Random Forest
- SVM
- Computer Vision (Corners, SIFT, SURF, etc.)
- Linear/Logistic Regression
- ImageNet Models fine-tuning (ResNet, VGG-16/19, MobileNet, etc.)
Tools:
- Python
- Keras, Scikit-Learn, Pandas, Numpy
- Tableau
- Matplotlib
- Tensorflow
Delivery:
- Code Repository
- Dataset
- Model Weights and Configuration
- Plot figures
- Report File