I have 6+ years of experience as a "Data Scientist and Python Expert". I do have full time working availability for 40-45 hours/week.
Way of working:
* Available for skyp chats, email discussions.
* Regular communications to develop a perfect solution according to clients needs.
* Honest and transparent in communication.
* Work on a time that is overlapping with client's timezone.
* I am honest, ethical and reliable in my work.
---------------My Previous Work Experience---------------------
– 4+ years of in software and website development based on Python.
- Website front-end and back-end development using Django, Flask and Python as well as good command in following
- Tensor Flow -Scikit-Learn –Theano -PyTorch -PyLearn - Pylearn2 -Caffe -Keras -NLTK
- Data Scraping& Mining, Data Cleansing, Data Visualization, Data Analysis, Data Classification, Database Management and various python libraries use for this work such as Dora, PrettyPandas, datacleaner, matplotlib, seaborn, Pandas, sklearn, Knime.
- Worked with various database such as MySQL, SQL, NoSQL, MongoDB, MariaDB, PostgreSQL, SQLAlchemy, SQLite.
- Web Crawler & scraping Tools - Scrapy, Beautifulsoup, Selenium, Mechanize, Urllib2, Scrapemark, Kimono and many others...
------------------------Machine Learning, Computer Visiosn & AI Experience -----------------------
- I have good hands on OpenCV, OCR, Keras, scikit-image, matplotlib, Image Processing & Classification, Image Recognition, Face Recognition, Fingerprint Recognition, Facial Expression Recognition, Gesture Recognition, Car Number Plate Extraction, object detection, Pig Recognition to detect insurance fraud, and much more.
- Great knowledge with Linear Algebra, Tensorflow, Keras, Natural Language Processing & several AI frameworks such as Caffe, CNTK, NLTK, Deep learning, DeepLearning4J, Pybrain, Scikit-Learn, Swift AI, Theano, Torch, Distributed Machine Learning Toolkit, H20, Mahout, MLlib & NuPICetc.
- Deep Learning including areas Health care, Agriculture, Life Science, Sentimental Analysis, Medical diagnosis, Anomaly detection, Video Recognition, Radiology, Finance, Video Recognition and many more.
- MATLAB, Prediction Models, Image Recognition & Processing, Wireless Sensor Network, Iris Recognition, Recommendation System, Disease Prediction Sytem, Emotion detection, SVM Classifier, object detection,Blur Detection, Image inpainting, Video Surveillance.
- Good Command on RNN, LSTM, DNN, ANN, SNN, CNN..
* I also have worked with many other chatbots like Fashion App Chatbot, Health Chatbot, Chatbot for industrial training, Dating Chatbot, Movie Chatbot,
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