Data Science PortfolioEmbedded Files
This program helps B2B trading companies or e-com companies identify new Principals/Manufacturers for joint ventures.
Programming Language:Python
Front-End: Qlik-Sense
Modules: Beautiful Soup,Google-API,Pandas,Numpy,regex
The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.
Programming Language:Python
Modules:Pandas,numpy,seaborn,NLTK,Textblob
LDA is an example of topic model and is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model, modelled as Dirichlet distributions.
Programming Language:Python
Modules:Pandas,numpy,NLTK,gensim,sklearn
Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
Programming Language:Python
Modules:Pandas,Spacy,numpy,NLTK
Text summarization refers to the technique of shortening long pieces of text. The intention is to create a coherent and fluent summary having only the main points outlined in the document.
Automatic text summarization is a common problem in machine learning and natural language processing (NLP)
Programming Language:Python
Modules:Pandas,numpy,NLTK
Product Analytics - Fitogram Case Study
Companies use product analytics to analyze their users and to improve their customer experiences. Analytics makes tracking users easy because it automates the collection and management of data. Product leaders, designers, and developers use this data to guide their decisions and studies show that companies who rely on product analytics are far more profitable than their peers.
Includes User behaviour,segmentation and North Star Metric
Marketing intelligence -Trivago Case Study
Marketing intelligence (MI) is the everyday information relevant to a company's markets, gathered and analyzed specifically for the purpose of accurate and confident decision-making in determining market opportunity, market penetration strategy, and market development metrics.
User Behavioural Analysis- Avira Case Study
Behavioral analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and IoT.
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