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About Me
Senior Software Engineer having overall 5+ years experience across Machine Learning,NLP,Development and Automation Testing domains in IT industry, having comprehensive understanding of the tools available for Data Science and Machine Learning and han...
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Portfolio Projects
Description
AskAI is an advanced chatbot for airlines with an ability to understand natural language queries in english language.
The chatbot is developed with the hybrid of various deep learning and other machine learning models leveraging the features and advantages of data science supporting languages such as python.
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- Linear regression, logistic regression, CART, clustering, and data visualization using ggplot in R.
- Understand through Machine Learning the features that make a New York Times Blog popular.
◦ Predictive Analytics for New York Times Blog to help ordering of new Blogs. This was a competition on Kaggle.com .
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- Android Application Testing( Plankton Solutions Pvt Ltd)
Teamwork is an android chat application developed for internal purpose in our client company Shortel.
Performed development and execution of test cases as part of test setup.
Automated the test cases developed using Appium and selenium scripts
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Testing of various routing protocols such as BGP,OSPF etc on asr9k and NCS-5500 routers and automating the same.
Data Science tools :Python,R,Anaconda python
Softwares :Visual Studio Code,PyCharm,Eclipse,IDLE(python interpreter),JupyterNotebook,
Libraries and Frameworks RStudio:Numpy,Pandas,scikit-learn,word2vec,spacy,RNN,Tensorflow,NLTK,Gensim,Spacy,Syntaxnet,Appium,unittest,HTMLTestRunner
Algorithms :Regression,CART,Clustering,SVM,NaïveBayes,RNN,LSTM,Universal sentence encoder.
Embeddings: Google word2vec,Stanfordglove,ELMOembedding,Universal sentence encoder
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AskAI is an advanced chatbot for airlines with an ability to understand natural language queries in english language. The chatbot is developed with the hybrid of various deep learning and other machine learning models leveraging the features and advantages of data science supporting languages such as python. Learnt predictive modelling techniques such as linear regression,logistic regression,Naïve Bayes algorithm,k nearest neighbor technique. Also learnt tree techniques such as decision trees and random forest.
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Linear regression, logistic regression, CART, clustering, and data visualization using ggplot in R. Understand through Machine Learning the features that make a New York Times Blog popular. Predictive Analytics for New York Times Blog to help ordering of new Blogs. This was a competition on Kaggle.com .
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