Debarati Nath

Background

About Debarati Nath

Highly organized and efficient professional with strong experience in Computer Vision, Signal Processing, Machine Learning (ML) Algorithms, Deep Neural Network (DNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-term Memory (LSTM), Topic Classification, Topic Modeling, Unsupervised Learning, Feature Extraction, Principle Component Analysis, and Pattern Recognition •Detailed knowledge in Semiconductor devices, and Very large scale integration (VLSI) design •Proficient knowledge in Radar-based Microwave and RF system, Antenna design, Microwave imaging, and Analog and digital electronics •Hands-on experience in Analog circuits, LED boards driver circuits, Electrical & electronic circuit testing, and Lab equipment such as Oscilloscopes, Signal Generator, and Vector Network Analyzer. •Enthusiastically passionate about cutting-edge technology and solving real-world problems Skills: •Programing Language: Matlab, Python, C++, Bash, Verilog, Microsoft Visual C++, HFSS, CST Microwave Studio, Acknowledge 4.0, Proteus, KeilμVision, SQL, and PSpice •Libraries: NumPy, SciPy, Pandas, Scikit Learn, OpenCV, Matplotlib, Seaborn, Plotly, Spacy, NLTK, Genism, TensorFlow, PyTorch, Ray, MLflow, Extcolor, and Keras •Operating System: Windows, and Linux (Ubuntu OS) •Document Processing: Latex, Microsoft Word, Excel, and PowerPoint •Database - MongoDB, PostgreSQL •Cloud Environment - GCP •Agile - Zenhub *Links to some awesome projects done by me - https://github.com/debarati-nath