Bhavesh Bhansali

- Created features based on customer movement data in the store. - Built classical machine learning models to predict customers movement pattern in the store.

• Built an offline product recommendation systems based on customers movement in Retail Stores. • Clustered checkout data using unsupervised learning i.e. DBScan, Hierarchical clustering, K-Means algorithms. • Built predictive models using machine learning classification algorithms i.e. Naive Bayes, K-nearest neighbor, SVM, Random Forest classifiers.

- Wrote Python web scrappers to extract data from websites for building parallel corpus. - Extracted data from multiple XML files for sentence alignment. - Wrote Python scripts for encoding conversion of Sanskrit text (ITRANS to IAST encoding ) - Word alignment between high resource language (English) and low resource language (Sanskrit) using Berkeley aligner (Implementation of IBM translation models using EM and HMM algorithms).

- Worked on Java Business Process Management (JBPM). - Developed Java BPMN communication processes using RabbitMQ Technology - Gained domain knowledge of Business Process Management tool

I implemented advance PL/SQL packages, procedures, triggers, functions, indexes and materialized views to implement business logic using the Oracle Relational Database Management System. I Implemented PeopleSoft Campus ERP module comprising both delivered and customized activities like application printing, hall-ticket generation, automatic ID generation etc. I also developed various Application Engines, Component Interfaces, File Layouts using PeopleSoft technology.

Artificial Intelligence, Information Retrieval and Data Mining, Advances Topics in Information Retrieval, Software Engineering

Algorithms, Data Structures, Database Management System, Operating Systems