With 4 years of practical experience in Machine Learning, Deep Learning, Computer Vision and delivering Data Science use-cases. I have worked on both supervised and unsupervised machine learning model development. I use python (Pandas, Numpy, Sklearn, PyTorch, Keras, Tensorflow etc.) for data wrangling and model development.
I have solid experience in areas like
Real-time Face detection and Recognition
Real-time Object Detection & Recognition
Real-time Pose Estimation
Real-time Object Tracking
Real-time Object Counting (cars, people etc.)
Real-time Localization and Data Analytics
Action Recognition
Object segmentation and localization
Object Measurement (using OBJECT REFERENCE)
Distance Measurements
Text Recognition (OCR)
Behavioral Tracking
Trouble Detection
Medical Image Analysis
Training Custom Models
Image Processing
Camera Calibration
Other than these, I can scrape data from structured and unstructured web sources
At the end of the process, I will deliver an output table with the collected and processed data in any format (xls, csv, xml, json, etc.) and the the actual scraper (in Python / NodeJS) so that you can easily re-run it.
I can develop any desktop, web or mobile app to show statistics about data as per your requirements.
Financial datasets, crypto currency datasets, news websites, listings, search engines and a lot more - all of the above can turn into structured and insightful data on your Mac / PC.
Technologies & Frameworks:
Python, C++, JavaScript, Java, C#, Tensorflow, Keras, PyTorch, MXNet, GluonCV, Darknet, OpenVINO, Scikit-learn, OpenCV, Pandas, Numpy, Scipy, NLTK, Seaborn, Matplotlib, Plotly, Folium, Geopy, BeautifulSoup, Spyder, Selenium, JSON, Flask, Git, Jupyter, AWS SageMaker, AWS EC2, Docker, Visual Studio, PyCharm, Android, Xamarin, ElectronJS, Linux, Windows.
Algorithms:
CNN's built from scratch
Faster-RCNN, MASK-RCNN, FAST-RCNN, RCNN
Inceptionv3, Resnet, Inception-Resnet
MASK-RCNN
SSD
YOLO
GAN
and much more...
I am experienced in deploying machine learning models on AWS Sagemaker and EC2.
IMPORTANT: Please message me before placing an order to discuss your requirements to avoid unnecessary cancellations.