Self motivated computer engineering student with teamwork abilities and great communication skills. I am looking for an opportunity in the field of Software Development and Data Analytics to expand my learnings, knowledge, and skills. I look forward to establishing myself by adapting new technologies.
Excels at maintaining large databases, performing data collection and analysis, and conducting detailed reports. Possess great analytical skills, excellent multitasking skills, strong attention to detail, and significant ability to work in a team.
Provided data modeling, mining, pattern analysis, data visualization, created End to End Projects with deployment with the help of ML models.
Build and train neural networks using TensorFlow. Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
Started with basic libraries such as NLTK for Text Pre-Processing which includes tokenization, stopwords removal, lemmatization/stemming and representing sentences as vectors, so that they can be input to a neural networks. Also learn to apply RNNs, GRUs, and LSTMs in TensorFlow.
Data integrity,Database planning and design,Data analysis-accessing,managing and updating organized collection of data.
Plan, create and code internet sites and web pages. Created many or the projects including this Portfolio.
Predicting the patient of getting affected by covid by looking into their X-rays with the help of Multilayer Convolutional Neural Network | Deep Learning.
Download, extract the file and run the flask app to to detect the disease.
Predicting upcoming word by processing the previous typed words.
Used N-grams modelling and edit distance in order to recommend best matching word.
Created with the help of html canvas and pure javascript with some physics logics.
Extact Zip -> Install some dependencies -> ENJOY PLAYING
This is an end to end Machine Learning project that is able to predict the chances of getting a disease in organs like liver, kidney, heart, etc. based on the patients current condition.
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Given the venue, Teams Playing, Batsmen, Bowlers, our model is able to predict the score at the end of powerplay.
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This Dataset is taken from the official NIH Website.
The model is trained over 27,558 images of Infected and Uninfected cells.
Download, extract the file and run the flask app to to detect the infection.
Extracted over 16 Lacs tweets using the twitter API.
The model that determine the class (positive, negative) of the text.We train our model on the existing data. The resulting model will have to determine the class of new texts (test data that were not used to build the model) with maximum accuracy.
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An analysis of tracking live Covid Cases in India which shows the current number of active cases in each state with graphical representation.
The Dataset is taken from MINISTRY OF HEALTH & FAMILY WELFARE which is updated every day at 2:00 AM.
All the lifecycle of Machine Learning is present right from the beginning.