As Data Scientist in the Business Intelligence and Fraud Analytics Team 1. I contributed to the Cluster-Based Anomaly Detection model - Principle component Analysis along with Apriori Algorithm was used to mine association rules - Used Hierarchical Clustering methods such as Agglomerative Clustering and also K-means 2. Developed a Search HSN functionality - A web application to predict the HSN code given any Product description that is entered by the … Show more As Data Scientist in the Business Intelligence and Fraud Analytics Team 1. I contributed to the Cluster-Based Anomaly Detection model - Principle component Analysis along with Apriori Algorithm was used to mine association rules - Used Hierarchical Clustering methods such as Agglomerative Clustering and also K-means 2. Developed a Search HSN functionality - A web application to predict the HSN code given any Product description that is entered by the taxpayer on the GST portal. - A shallow Neural Network using the Continuous Bag of Words (CBOW) model in the supervised setting was trained to learn the word embeddings and predict the HSN code. - The Application was served using Python-Flask and a REST API was developed to interact with the trained model.3. Geo-spatial Analysis. - Developed Use case to Analyze patterns of fraud from the Geographic data of the taxpayer. Show less

As a Network Security Intern- I contributed to implementing the Vendor Risk Security Framework as part of ISO 27001- Conducted detailed analysis on all the vendors, profiled them, and submitted a detailed report about the security risk they pose and mitigation steps, Data was analyzed based on the answers to the well-crafted questionnaires.- Carried out independent market and security research, then collated the findings to Industry-standard documentation of ISO 27001