Equities, Information Services Group (ISG)As part of the Global Equities Reporting Team. working on Python based framework facilitating 500+ External and Internal Reports from Big Data and KDB market sources.- Acting as sole project executor for Spark module of framework catering to 300+ complex reports (processing ~100 TB data) per day for Citi clients, Surveillance, Compliance and Supervisory teams, etc.- Created parameterized Optimization options to ensure maximum reports are optimally executed- Lead Dev effort to Migrate 10+ legacy Compliance reports from IBM's Netezza to Apache SparkKey Tech: Python, Flask, REST APIs, Spark, ImpalaAs part of Equities Information Services Group, I worked on Consolidated Audit Trail (CAT) application which is a Regulatory Auditing Submission for Citi facilitated Equities Trades in North America- Developed CAT lifecycle management module which allows users to update submission details as per internal audit/external feedback- Contributed to Feedback processing module which ingests regulatory feedback about submitted trading data from Financial Industry Regulatory Authority (FINRA) for Citi Analysts to incorporate and update submissionsKey Tech: Hive, Impala, Spark, Bash

Data Regulations and Control Technology (DRCT) UnitAs part of the Data Strategy group, Contributed to Data lineage application which matches trade position changes with transactions done in asset classes like OTC, CASH, ETD, SFT to achieve over 95% lineage.Acted as a sole project executor for onboarding application to Containerized Infrastructure (Docker on OpenShift), part of early adopters of Containerization in the Global Information Services Group.Researched and built data load programs using Native Libraries, Spark & Clustered PySpark, reducing load time by 75%Owned the Post run Maintenance Module to deliver optimized parallel execution of data backup and file purging on daily basisKey Tech: Java, Bash, Docker, OpenShift, Python, Oracle, Apache Spark, Unix, Jupyter Notebook, Spring Batch

Joined Finance and Risk Technology Team as part of the Graduate Analyst Program 2017. Worked on Risk Reporting Framework catering to 30+ teams in Risk Domain.Developed a runtime Dependency Analyzer for faster debugging of dependency issues and code optimization –– Tested various components of Framework to ensure stability including multi server cache sync, Spark Data slice computations, etc.Key Tech: DDD, Google Guice, In Memory Cache, Spark, Oracle, MongoDB, Spring, Tomcat, REST APICreated a Topic extraction algorithm using LDA method for text summarization of Risk Reports and SEC Company filings to help risk analysts/managers parse relevant information faster from complex documentsKey Tech: Python, Pandas, SciPy

Bachelor of Technology, Aerospace Department

- Developed a Service for managing and serving Page layouts and URL configurations allowing smooth page transitions experience and control to Vendors, especially at time of offer day periods- Conceptualized the user console for the management service which reduced the required man power by 50%

- Planned efficient usage of a total budget of INR 18 Lakhs to participate in AUVSI-SUAS’16- Designed and directed the fabrication of advanced Remote Controlled UAVs for the Competition

- Engineered payload dropping mechanisms and GPS interfacing for accurate targeting of payload from a height of at least 100 feet in SAE-Aero Design Advanced class, 2015- Created an interface to calculate the landing point of the payload using GPS data with integrated camera feed for increased efficiency- Contributed to Real time testing and Fabrication of UAVs

Attitude and heading reference systemGuide: Shashi Poddar, Scientist, Optical Devices and Systems, CSIR-CSIO- Implemented KALMAN Filter Algorithm to integrate the data acquired from GPS and MEMS inertial sensors- Inspected the working of GPS and programmed an algorithm for handling the data acquired from GPS receivers- Surveyed the working of serial communication to interface sensors with the micro-controllers