Archit Jain

Implemented and deployed RNN for NER, using deep contextualized word representation(GLOVE, ELMO and FLAIR). Implemented and deployed Attention and Hierarchical attention networks classifiers for text classification. Consulted and Implemented automated pipeline using multiple algorithms for training and model selection for Multi-class classification. Used Bayesian optimization algorithm(Hyperopt) for hyperparameter optimization. Test driven development in Microservice architecture using Python and Scala.

Implemented desktop app for identifying and assessing suspicious users on social media using data analysis and NLP. Implemented automated classification of Industrial equipment sound signals using machine learning and provided results. Implemented REST API for tagging Internet access points traces using user’s data and pinned locations on Google map.

Discovering Similarities and Behavioral patterns of suspicious user's profile on social network. A case study on Twitter.: Proposing and Implementing penalizing algorithm for handling missing data. Applying Data mining and Text mining approaches. . Implementing Cosine and Jaccard algorithm. For Identifying similar users and their similarity patterns. Clustering user’s using K-means, Spectral and Hierarchical clustering. Discovering patterns using Association rules and Betwenness centrality.

Implemented a Web Crawler for mining IP addresses and analysing IP addresses and ISP ratio based on country specific. Visualizing ratio of IP addresses block size over all ISP’s.

Collecting clients requirements and supporting applications development.