Pavan K.

Pavan K.

AI engineer experienced in developing NLP solutions.

Bangalore , India

Experience: 6 Years

Pavan

Bangalore , India

AI engineer experienced in developing NLP solutions.

USD / Year

  • Start Date / Notice Period end date:

6 Years

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About Me

Experienced in developing Natural language processing solutions across domains such as Insurance,HR,Travel and hospitality.

Skilled in Machine Learning,Natural Language Processing,Deep Learning.

Have experience in developing chatbo...

Have experience in developing chatbots using Azure cognitive services ,dialogflow and open source for domain specific tasks with conve

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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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Description

    • 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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Description

  • 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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Description

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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