Being a Senior Data Scientist, i implemented CodePipelines of following projects:- Forecasting Dashboard Sales/Demand Forecasting, DeepAR, Rare event Forecasting Python, AWS Lambda Functions, AWS SStep Functions, Docker-Keyword tool NLP, Bert Embedding, PCA, Topic modelling, Anomaly Detection, Feature engineering, Chrome Extension development Python, Flask API, Chrome Extension, JS, ReactJS-Smart Campaign Manager Google Ads… Show more Being a Senior Data Scientist, i implemented CodePipelines of following projects:- Forecasting Dashboard Sales/Demand Forecasting, DeepAR, Rare event Forecasting Python, AWS Lambda Functions, AWS SStep Functions, Docker-Keyword tool NLP, Bert Embedding, PCA, Topic modelling, Anomaly Detection, Feature engineering, Chrome Extension development Python, Flask API, Chrome Extension, JS, ReactJS-Smart Campaign Manager Google Ads Api, Features Extraction, Anomaly Detection, Encoder Decoders, Data Visualisations, Trend Detection, Event Classification using SVM, Parametric Prediction C#, Python, IKVM, Iron Python, SQL, Spark-Speech Synthesis NER, Speech Synthesis, Grapheme to Phonemes parser, Feature Extraction, HMM, Wavenet, RNN Vocoders Python, Sagemaker, S3 Show less

As a member of Engine team, I was doing research/development on Text mining ,data visualisation.Being a software engineer i had implemented text analysis pipeline which had key NLP concepts implemented like Noise reduction,Lexical and Syntactic processing units (Tokenization, NGram building, Clause Extraction, Sentence boundary deduction, Lemmatization, Part of Speech Tagging, Parsing, Dependency Parsing, Lexical Analysis Parser). Some other aspects were about Information Retrieval… Show more As a member of Engine team, I was doing research/development on Text mining ,data visualisation.Being a software engineer i had implemented text analysis pipeline which had key NLP concepts implemented like Noise reduction,Lexical and Syntactic processing units (Tokenization, NGram building, Clause Extraction, Sentence boundary deduction, Lemmatization, Part of Speech Tagging, Parsing, Dependency Parsing, Lexical Analysis Parser). Some other aspects were about Information Retrieval, Sentiment Analysis, Word Sense Disambiguation(WSD), Dimensionality Reduction, Colocation, Summarisation, Anaphora Resolution, Named Entity Recognition(NER), FP-Growth, Stanford Core NLP, LDA, Carrot2, STC, Lingo resolution, Word Sense Relate.While working here i was working on following tools and technologies:AWS, Python, Spark, Asp.Net, MVC, Angular.js, javascript, Sql Server (PL/Sql), C#. Show less