EXPERIENCE
June 2023 - February 2024
PLANNED BREAK
Intentional break taken in order to await immigration status change to permanent resident (now complete)
April 2021 - June 2023
Support Analyst
Electronic Trading (Equities & Cash)
UBS INVESTMENT BANK
New York, NY (Remote)
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PROCESS IMPROVEMENT EFFORTS
I automated several labor-intensive tasks that saved about many hours in manual efforts.-
NLP-Powered Trade Reject Notifications: Developed a Python script utilizing NLP to analyze FIX messages and trade details. Implemented custom rules to identify specific tags and symbols within FIX messages. Designed notifications to trigger based on specific trade rejection reasons. This improved notification speed and ensured regulatory compliance for trade discrepancies. Reduced average notification time by 20%. (Python – NLTK, SpaCY libraries)
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Automated IPO Listing Set-up: Automated, using bash script and Python, the process of setting up new listing IPOs across various trading systems, eliminating manual effort and reducing errors, saving up to 4.5 hours per week.
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Automated Trade Data Retrieval & Compliance Support: Developed a Bash script to automate the retrieval of trade and client information from databases. This optimized response times for data requests and facilitated efficient support for compliance teams during audits.
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Automated Database Monitoring & Archiving: Developed a Bash script to monitor critical transaction database (SQL) storage space. This script proactively sent notifications with recommended maintenance actions and automated data archiving based on retention policies, ensuring optimal database performance and regulatory compliance.
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MARKET READINESS & SYSTEMS EFFICIENCY
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Played a key role in planning, executing, analysis and documenting for 2 SIFMA tests, 3 Market Wide Circuit Breaker Tests, and 2 Liquidity stress Testing initiatives
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Led joint triage efforts to diagnose and resolve production incidents, system breaks, and outages. This involved collaborating with various teams to identify root causes and implement timely solutions to restore functionality and minimize trading impact.
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Collaborated effectively with vendors, exchanges, developers, and service providers to seamlessly implement trading system configuration changes, order routing updates, and application upgrades.
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Applied SRE principles to ensure the reliability, scalability, and performance of electronic trading systems, reducing downtime and disruptions
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CLIENT & TRADING TEAM SUPPORT
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Leveraged in-depth knowledge of the FIX protocol, market structures, and the trade lifecycle to effectively troubleshoot orders, trade queries, DKs, and rejects. This ensured timely resolution and minimized client impact.
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Proactively identified client and trading team needs and initiated projects to streamline request management. This resulted in improved efficiency and adherence to market/regulatory deadlines.
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Demonstrated a strong understanding of regulatory requirements by assisting with reporting to ACT and OATS, resolving reconciliation breaks, and managing trade resubmissions. I also liaised with NASDAQ MarketWatch and FINRA to ensure regulatory compliance.
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Configured and automated End-of-Day trade reports for efficient distribution via SFTP to clients and internal UBS trading teams. This enhanced transparency and communication.
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February 2021 - April 2021
Intern
PHENOM PEOPLE
Ambler, PA (Remote)
I assisted with designing a model utilizing NLP to increase relevancy of job matches for applicant profiles
September 2020 - February 2021
Digitization Intern
L&T VALVES USA LLC
Houston, TX (Remote)
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MAJOR PROJECT - L&T Valves had a large number of customer order specifications, all in different formats and layouts, that needed to be fed to their systems in a certain format in order to be processes. To address the issue I wrote a python script to automate extraction of customer order specifications. The script utilized Natural language processing & Optical Character Recognition – particularly character segmentation techniques.
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I also aided Market segment strategic planning by analyzing market data on valves through data mining.
September 2020 - December 2020
Insurance Analytics Intern
MEDRCM LLC
Piscataway, NJ (Remote)
MAJOR PROJECT - I designed a Machine Learning​ application in Python to predict payment patterns and collections by insurance policies, probability of denial, and percentage of services paid. The goal of the application was to enable the user to pick the best insurance plan.
Note - I worked at MedRCM and L&T at the same time during the period of September 2020 and December 2020. As both roles were remote, I was able to work with both managers and effectively ran both projects as I managed my time well.
May 2019 - August 2019
Risk Technology Intern
Global Risk Division
NOMURA HOLDINGS, INC
Mumbai, India
PROJECT 1: MACHINE LEARNING & TRADE VALUATION
• I developed dimension reduction methods in Python using the Principal Component Analysis and other ML techniques to validate trade valuation
• Data consisted of 863 trades and their values from 1040 trade shocks since 1940.
PROJECT 2: STRESS CALIBRATION
• Calibrated stress from historic volatilities of credit spreads & equity market data parameters using Python
PROJECT 3: INCREMENTAL RISK CHARGE COMPUTATIONS
• Developed Python code to calibrate copula parameters for Incremental Risk Charge Computations
June 2018 - August 2018
Enrollment Management Analysis & Research Intern
PURDUE UNIVERSITY OFFICE OF ENROLLMENT
West Lafayette, IN
PROJECT: VISUALIZING COMPLEX APPLICANT DATA
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Designed dynamic Tableau dashboards visualizing admission trends of global applicant data since Fall 2001.
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Applicant data included test scores, academic performance, and demographic details of nearly 400,000 students.
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Visualizations were used to assist the Office of Admissions with the upcoming admission cycle
May 2018 - June 2018
Impact Investing Intern
INDUSIND BANK
Mumbai, India
PROJECT 1: IMPACT MEASUREMENT PARAMETER DEVELOPMENT
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Developed 1500 social and environmental impact parameters based on GICS sectors using World Bank Development Data
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Parameters were used to quantify the performance of NGO Projects and Organizations receiving investments from IndusInd Bank
PROJECT 2: PARTNERSHIP DATABASE DEVELOPMENT
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Developed a SharePoint accessible client database in SQL for the Impact Investing division
EDUCATION
PURDUE UNIVERSITY - WEST LAFAYETTE, IN
May 2020
Bachelor of Science in Applied Statistics
Minor in Communications
Positions of Responsibility @ Purdue
2019 - 2020
STAFF REPORTER
Research news and Interviews
The Purdue Exponent
2017 - 2018
BUSINESS TEAM
Grant Request Drafting
Purdue Autonomous Aviation Club
2018 - 2019
GRADER
STAT 512 - Applied Regression Analysis
Purdue University
AWARDS & CERTIFICATIONS
IT AUTOMATION WITH PYTHON
Google Professional Certificate
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Python
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Version Control
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Troubleshooting & Debugging
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Automation
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Configuration Management
ADVANCED DATA ANALYTICS
Google Professional Certificate
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Machine Learning
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Exploratory Data Analysis
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Data Mining
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Predictive Modelling
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Statistical Analysis
WOMAN TO WATCH AWARD
Bertha Watches X HerCampus
Spring 2016
​For Exceptional writing
BEST UNDERGRADUATE PIECE OF WRITING
Purdue University
Fall 2016
For exceptional writing
DERIVATIVES - OPTIONS & FUTURES
Interactive Brokers Certification
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Valuation and pricing models for options and futures
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Trading strategies - market outlook, volatility view, profit potential , loss potential
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Risk analysis and portfolio management
SITE RELIABILITY ENGINEER
Google Professional Certificate
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SLI, SLO development
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Incident response and disaster recovery
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Infrastructure health - monitoring, alerting, logging
CAPUTO UNDERGRADUATE RESEARCH AWARD
Purdue University
Fall 2019
NLP Analysis on Presidential Rhetoric and Approval Ratings
SUMMER STAY SCHOLARSHIP
Purdue University
Summer 2017
For exceptional writing
SKILLS & EXPERTISE

PYTHON
numpy, pandas, sklearn, multiprocessing, joblib, xgboost, keras, spacy, NLTK
SQL
Tableau

EXCEL
Macros, VBA, VLOOKUP, Pivot Tables
C++

MACHINE LEARNING
Principal Component Analysis, Random Forest, Decision Trees,
Naive Bayes,
SVM, KNN, Forecasting Modelling, Clustering, Neural Networks,
Natural Language Processing,
Optical Character Recognition,
Time Series