Jul 2020 – Dec 2020 · 5 mos · New York City Metropolitan Area

• Working as a Data Analyst for the Office of Vice Dean of Research at Columbia University.
• Assisting Business School Professors with their data-related tasks including but not limited to Web Scraping, Mining, Data cleaning and Shaping, NLP, and Data Analysis.

May 2020 – Jun 2020 · 1 mo · New York City Metropolitan Area

• Data Analyst for a project headed by Prof. Awi Federgruen on the variation of COVID 19 cases in the New York State. The study focuses on the cause and effect of various factors on the number of confirmed cases at a zipcode level and makes recommendations on effective reopening strategies for the state.
• Please find the pre-print of the publication at https://www.sciencedirect.com/science/article/pii/S1201971220322670#!

Aug 2019 – May 2020 · 9 mos · Greater New York City Area

• Gates Foundation is a non-profit organization founded by Bill and Melinda Gates with the primary goal of improving the quality of life for individuals around the world
• Working as a part-time student consultant to estimate worldwide absolute poverty at a granular level and design a map of historical poverty using Kriging

Aug 2018 – May 2019 · 9 mos

• Managed the historical database of 4 applications of the team using in-memory columnar database Kdb
• Developed a code to reconcile different trade benchmarks generated from 3 applications by considering over 500 symbols
• Automated the calculation of reconciliation of benchmarks and mailing of reports to the Business end at the close of Market
• Technologies Used: Kdb+ , Unix OS

Aug 2018 – May 2019 · 9 mos

•  UI/UX Designer in the pilot project Neuron for analyzing logs generated from all native applications in Equities Tech
•  Built a REST API on Java- Spring Boot to communicate with the Hadoop database to fetch log data for the UI
•  Designed a graphing dashboard on Angular framework to monitor system performance by plotting live and historical log data
•  Trained in agile methodologies by incorporating daily scrums, continuous integrations, and sprints in project implementation
• Technologies used:
• UI/ Dashboard - Angular and Node JS
• REST API - Java and Springboot

Aug 2017 – May 2018 · 9 mos · Chennai, Tamil Nadu

• Location-Allocation of Facilities | Guide: Prof. C. Balaji & Prof. Usha Mohan | IIT-M
• ▪ Healthcare Facilities (HCF) in Chennai: Optimized HCF locations in Chennai to improve the existing location decisions
• ▪ One of the first to design and model uncertainties in the HCF network in Chennai during disruptions like natural disasters
• ▪ Power Distribution in India: Quantified the impact of policy reforms in the energy sector by modeling optimal power network for the country and by imposing constraints on demand and supply nodes of the designed optimal network

May 2017 – Jul 2017 · 2 mos · Pune Area, India

• ▪ Awarded a Pre-Placement offer, on recommendation from the BU Lead in Pune Office
• ▪ Applied big data technology to retrieve trade data from various upstream systems like RIO and Kafka
• ▪ Built a PoC which analyses the IOI and order data to predict the improvement in order-IOI matching rates
• ▪ Assisted in the integration of low touch orders to the IOI application to enhance the rates of internal matching
• ▪ Recommended the upgradation of the cluster manager for Apache Spark in distributed computing mode after a detailed comparison based on high availability, security and resource management capabilities to deploy the team’s applications
• Technologies Used: Python, PySpark

Dec 2016 – Jan 2017 · 1 mo · Thiruvananthapuram Area, India

• Worked on
• 1. Optimizing the conditions required for annealing of toroidal transformer cores
• 2. Static structural analysis of the transformer core capsules to analyze the cause for fracture and redesigned the capsule to withstand the torsional strain during mounting.
• Technologies Used: Solidworks, Ansys Workbench

Jun 2016 – Jul 2016 · 1 mo · Thiruvananthapuram Area, India

•  Performed data-based decision making in the public sector (predictive policing) as a part of Smart Governance Program ( a project under the State Government of Kerala)
•  Analyzed the crime scene over the past 12 years to develop an interactive tool using Tableau to visualize the crime activity
•  Established the correlation of crime density with four parameters (poverty level, unemployment rate, education status and number of arrests made) using linear regression; improved existing crime prediction model accuracy by 2.2%
• Technologies Learned: Tableau, R

Dec 2015 – Dec 2015 · 0 mo · Thiruvananthapuram Area, India

• Trained in MEP systems including radiant cooling, in the campus building
• Compiled a comprehensive report on general safety protocol in the campus based on a 10-day survey