Abhishek Malik

Student Consultant

TD Bank•  August 2019 - December 2019

• Creating effective meeting agendas to capture appropriate client information, needs, and concerns. Translating business needs into feasible technical frameworks. Researching on graph database Neo4j and community detection algorithms to provide recommendations for scaling and parallelizing updates on large network graphs.

Data Scientist Intern

Exponentia Data Labs•  May 2019 - August 2019

• Interfaced with clients daily for requirement gathering and providing technical demonstrations to stakeholders. • Designed and built interactive web dashboards that fetched and visualized, in real-time, transactional data from Apache Kafka using NodeJS consumers and WebSockets. Dashboards detected anomalies, alerted admins, and enabled investigation of suspicious transactions. • Successfully implemented a real-time Anti-Money Laundering solution using AutoRegressive Integrated Moving Average (ARIMA) algorithm to detect anomalies in the money flow trend. Provided a thorough analysis of ARIMA and Holt-Winters Exponential Smoothing. • Experimented with secondary dashboards using graph theory fundamentals to aid in the identification of possible fraud patterns. • Built and delivered the product as a containerized Docker to facilitate on-site integration. The solution helped clients in becoming AML policy compliant and augmented the accuracy of fraud detection by 65%.

Web Development Intern

NearLaw•  June 2017 - August 2017

• Developed a dynamic end-to-end documentation tool for legal professionals to create customized legal documents using MEAN stack. • Created and designed a user interface for a web platform. Assisted in the development/testing of text-to-speech interface and summarization feature for android application. It successfully scraped and summarized legal cases from online/offline repositories. • The tool delivered savings impact of $360,000 for attorneys, in terms of time saved for preparing documents and researching legal cases.