Eashan Kaushik

• Collaborated with a team of 3 on a Virtual Machine (VM) monitoring product, to develop software for near real-time monitoring of VM health metrics • Developed a scalable and resilient tool using Microservice Architecture and Hadoop MapReduce Streaming which provides a five-number summary of metrics like host CPU utilization, read-latency, write-latency, and IOPS

• Collaborated with a team of 6 on a time series forecasting project, to develop a model to predict the required repair parts capacity • Performed large-scale data cleaning, exploration, visualization, and data engineering using Python • Developed a global scrapper, which reduced time spent on data scrapping by 70% • Led a 2-day presentation for 10 members of Management and Leadership, focused on the life cycle of Data Science projects; communicated technical details and insights to non-technical staff members of the team

• Collaborated on the development of Data Pipelines using Apache Kafka to make Real-Time decisions on incoming data for a GPS-based web-based application–Carot Fleet • Improved and automated the existing salary management software, which reduced the time spent on developing salary slips for an individual employee by 50%

Fall 2021 CS-GY - 6643 COMPUTER VISION CS-GY - 6033 DESIGN & ANALY ALGORITHM I CS-GY - 6923 MACHINE LEARNING Spring 2022 CS-GY - 6613 ARTIFICIAL INTELLIGENCE CS-GY - 9223 MINING MASSIVE DATASET CS-GY - 6063 SOFTWARE ENGINEERING I Fall 2022 CS-GY 9223 I Cloud Computing CS-GY 9223 Cloud Security CS-GY 6953 DEEP LEARNING Spring 2023 TECH-GB 2147 Databases for Business Analytics