Sandeep Aswathnarayana

Specialties & Skillset: Deep Learning, Machine Learning, Data Science, Computer Vision
Libraries & Dependencies: Tensorflow, Keras, OpenCV, Scikit-learn, Pandas, NumPy, Scipy, Matplotlib, ggplot
Programming & Scripting: Python, C++, SQL, UNIX Shell, HTML
Tools & Technologies: IBM Watson Studio, Google Colab (Jupyter Notebook), Tableau, Apache Spark, Google Cloud AutoML, Amazon SageMaker

Python, TensorFlow, Pytorch, Autonomous Vehicle Engineering (Neural Networks, Perception, Sensor Fusion, Vision)

Deep Learning:

I am highly passionate about making Malaria Diagnosis more efficient by reducing the burden for microscopists in resource-constrained regions and improve diagnostic accuracy. I have narrowed down my research on using the 'National Library of Medicine' (NLM) which hosts a repository of segmented cells from the thin blood smear slide images from the Malaria Screener research activity.

Any open-source/capstone projects and topics that include, but not limited to, Machine Learning, Deep Learning, Tensorflow, Python, Research papers, Blogposts, Conferences, Continuing Professional Education.