Hello, my name is Bharat Choudhary. I am currently pursuing M.Sc computer science, and I major in data science. I have worked on a variety of data science projects, which include Data Analysis, Medical Image Analysis, Visualization, text mining, and implementing
machine learning and Deep learning pipelines. I will showcase some of my projects here, and link them to their GitHub repositories.
During my free time, I like to write and code. I enjoy reading on research paper, which help sharpen my mind and improve on my problem solving skills. In my free time I also like to write Medium articles which can help other to learn and gain skills. I have added links to some of my tutorials here.
Currently I am working on research project on Intracranial hemorrhage detection using Deep learning. It motivates me to further contribute in solving real world problem use A.I .
I can contribute by building data-driven solution to increase efficiency, accuracy, and utility of internal data processing. I am passionate about Machine learning application in fields like biology, genomes, decision making etc.
In this project, I collected data in form CT Scan for detecion and classifing type of intracranial hemorrhage(ICH). This project decribes a deep learning-based approach for automated detection of Intracranial hemorrhage from CT scan.
Skills demonstrated: Python, CNN, Medical Image Analysis, Imbalance Data handling, Machine learning model,data visualization, Model Deployment
Publication: ---------
In this project, I took Flickr8k dataset which have images along with its five caption describing it. Then, I built a machine learning pipeline with InceptionV3, word embedding and LSTM to predict the appropriate caption with beam search algorithm for input image.
Skills demonstrated: Python, EDA, ML algorithms, Word Embedding, data visualization, Search Algorithm
Publication: The Startup
In this project, I used Urbansound8K dataset which is publicly available.I apply Deep Learning and Frequency domain techniques to the classification of environmental sounds, specifically focusing on the identification of particular urban sounds.
Skills demonstrated: Python, EDA, data visualization, Mel-Frequency, Deep learning
Publication: Better Programming
In this project, I collect data from an open source database.
I then uses various time series techiques over which build predictive hybrid model.
Skills demonstrated: Time series model, Python, EDA, data visualization, Machine learning, Statistical testing
Publication: Data Driven Investor
In this tutorial, I used beginner Kaggle dataset to explain Word embedding in Python.
It is a step by step guide with explanation on good visualization practices, along with code demonstrations for
each concept explained.
Publication: Towards AI
In this tutorial, I explain the basics of flask-api in python. I start with an explanation on how to build function of prediction,
and take those prediction to html web page as output.
I used the IRIS dataset for this tutorial.
Publication: Data Driven Investor
