Sartaj Singh Pannu

Sartaj Singh Pannu 174-B Milap Nagar, Jaipur -- Professional Summary A Python developer with 3 years of experience in Flask, Rest APIs, apache SOLR, machine learning, natural language processing. Certifications And Education ● ● ● ● ● Deep Learning Nanodegree - ​https://graduation.udacity.com/confirm/ULMA3DV Machine Learning https://www.coursera.org/account/accomplishments/verify/BQVT7JG462U4 NLP with python NLTK -​ ​https://www.udemy.com/certificate/UC-7VUX505Q​/ Neural Networks and Deep Learning https://www.coursera.org/account/accomplishments/certificate/Q9FK4KFF96CB Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - ​https://www.coursera.org/account/accomplishments/certificate/XY393FTTV67Y NLP and ML Concepts ● ● ● ● ● ● ● Parsing,Tokenizing,Stopwords removal POS Tagging,Dependency Trees, Noun Chunking Word2Vec, CBOW, n-gram models, TF-IDF and BM25 models, Naive Bayes Classifier and k-means clustering,Topic modeling FeedForward Neural Nets, RNNS and LSTMs Transfer learning Spacy NER training Core Qualifications ● ● ● ● ● ● ● ● ● Deep learning frameworks​ : Tensorlfow, pytorch, Keras Data analytics :​ pandas, numpy Natural Language Processing libraries​ : NLTK, spacy, Genism Database :​ Apache SOLR, MongoDB Web frameworks​ : Flask, Frontend : ​HTML, Javascript , Angular framework ,Jinja Image Processing​ : OpenCV and Wand AWS ​: Amazon textract , Lambda, S3 Data Visualization​ : Matplotlib ,Dash Experience Python Developer Avinex Software Pvt. Ltd., Jaipur 24 November 2016 – Present Development and deployment of machine learning models on IIS Build and deploy machine learning models to be used with web, Android and IOS apps. Natural language Interface for MSSQL Database Query Created an interface which converts natural language to SQL queries using phrase matching. Document Classifier Designing multiple classifiers with different use case like intent detection, reports classification using Tf-IDF, KNN. Semantic Enterprise Search Creating Information Retrieval System for multiple clients, which discovers relevant information from their technical unstructured content like PDFs, HTML, Docx and pptx. IBM Watson Cognitive Tools Using IBM Watson Cognitive Tools and Annotating technical papers, extracting entities and relationships from corpus. Data Visualization Portal Creating dashboard for data visualization using Dash and MatPlotlib Projects Dog-Breed Classifier Design and trained a convolutional neural network to analyze images of dogs and correctly identify their breeds. Used transfer learning and well-known architectures to improve this model Generate TV scripts Build a recurrent neural network (LSTMs) on Pytorch to process text. Used it to generate new episodes of TV show, based on old scripts. Generate Faces Build a pair of multi-layer neural networks (GANs) and make them compete against each other in order to generate new, realistic faces. Deploying a Sentiment Analysis Model Trained and deployed PyTorch sentiment analysis model. Build a model and created a gateway for accessing it from a website. Created and trained the model on AWS sagemaker and Deployed it using AWS lambda. Education Bachelor’s Degree, 2012 - 2016 Pandit Deendayal Petroleum University Gandhinagar, Gujarat