Achyut Anant

• Leveraged Neo4j and Python to formulate use cases, supporting tax officials in detecting and analyzing businesses for fraud analytics.
• Build a text prediction system for autocompleting sentences using probabilistic language models.
• Cluster Based anomaly detection-Found No of optimal clusters for the given GSTINs and analysed for any anomalies among them.
• Link Ranking-Ranked the chain of transactions to identify fraudulent activities based on individual and graph properties.

I contributed to the process of on-site construction and verification of the design of a combined pile-raft system foundation for a building. The project was the construction of an 800-capacity student hostel, with internal electrical installations, firefighting systems, an electrical substation, a DG set, and lift installation, including the demolition and disposal of the previous structure at IIT Roorkee.