Download CV (PDF) [ here ].

Work Experience

Workonward Inc
Data Scientist: ML/AI Engineer
April 2024 - Present

• Designed and implemented Voice search and AI Chatbot enabling customers navigate key information
without a click of a button increasing user interaction by 200% over 3 months of launch.
• Working with IT, DevOps team to ensure quality assurance and data integrity.
• Designed backend and implemented backend for ML features to Score Resume based on job description.
• Fine tuned LLM model using RAG techniques to create custom chat bot for recruiters and job seekers

Robbie AI
Data Scientist: ML/AI Engineer
May 2023 - April 2024

• Developed ML models using computer vision technology to identify different body structures and created artificial neural network and deep learning to detect pain level using FACS and PSPI scores.
• Increased accuracy scores by at least 23% for the pre-existing production models
• Implemented a real-time video processing pipeline by configuring Azure Blob Storage for live video feed storage and integrating Apache Kafka for streaming the data to deep learning models, optimizing performance based on live action analysis.

Anti-Phishing Working Group
Software Engineer
October, 2020 - Present

• Formed Rest APIs for Cryptocurrency Working Group clients from both the academia and industries.
• Garnered, reviewed, and analyzed data and updated a database of approximately 1.2million BTC wallet addresses used for scams and ransomware.
• Tested systems to measure reliability and efficiency ensuring 99.999% uptime for clients.
• Produced specifications, determined operational feasibility, and integrated software components into a fully functional software system.
• Created data lake in snowflake to store and process raw data into aggregated form for users.
• Used Apache Airflow to manage workflow schedule tasks, CI/CD on AWS

The University of Tulsa
Teaching Assistant - Tandy School of Computer Science
August, 2021 - April 2024
Undergraduate programming laboratory classes

• Fall 2021
  • CS 2003 : Fundamentals of Algorithm and Computer Applications (Java)
  • ES 2513 : Engineering Applications Programming (Matlab & Python)
• Spring 2022
  • CS 2003 : Fundamentals of Algorithm and Computer Applications (Python)

Adjunct Faculty - School of Cyber Studies
April, 2022 - April 2024

• Prepared and conducted instructional presentations for CYB 7163, Cyber Security Practicum.

Research Assistant/ Data Scientist- Tandy School of Computer Science
January, 2018 - Present

• Conduct extensive research and analysis into cryptocurrencies, scams, fraud detection, price manipulation, and the lifespan of coins and exchanges.
• Script Rest APIs and develop web crawlers while upholding research data infrastructure security.
• Synthesize and scrutinize complex data and generate pipelines for measurement studies.
• Conduct data analytics, statistical analyses and dashboards for EDA using Power BI, Stata, Python, R and review research literature to summarize and present findings.
• Generate comprehensive documentation consisting of datasets and analytical findings.
• financial markets and cryptocurrency market to understand market trends and build predictive models to measure exchange and cryptocurrency failure.
• Conduct root cause analysis and publish quality research papers.

PricewaterhouseCoopers
IT Risk Assurance, Associate
January, 2015 - December, 2016

• Participated actively in the delivery of IT risk advisory services comprised of risk assessments, security reviews, compliance assessments, and IT governance assessments.
• Studied and evaluated client IT environments to ascertain risks and control gaps and provided recommendations for remediation solutions.
• Test systems to validate compliance according to local regulations.
• Cross-collaborated with multiple teams to provide IT risk advisory services, prepared reports and presentations, and maintained knowledge of current regulatory and industry requirements.

Research

Arghya Mukherjee, Tyler Moore "Beyond the hype: Empirical evaluation of cryptocurrency unicorn success", HICSS, January 2025. [ Paper] [Podcast]

Arghya Mukherjee, Tyler Moore "Cryptocurrency Exchange Closure Revisited (Again)", 2022 APWG Symposium on Electronic Crime Research (eCrime), November 2022. [ Paper]

JT Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, and Marie Vasek. "The Economics of Cryptocurrency Pump and Dump Schemes", Workshop on the Economics of Information Security, June 2019. [ Paper]

JT Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, and Marie Vasek. "The Economics of Cryptocurrency Pump and Dump Schemes", Information Processing and management, July 2021. [ Paper][Podcast]

JT Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, and Marie Vasek. "Analyzing Target-Based Cryptocurrency Pump and Dump Schemes", 2021 ACM CCS Workshop on Decentralized Finance and Security, November 2021. [ Paper]

Theses

Doctoral dissertation: From Boom to Bust: The Determinants of Cryptocurrency Exchange Failures and Cryptocurrency Viability

Coming December 2024.

Advisor: Dr. Tyler Moore

Masters dissertation: Measuring enterprise IEEE 802.11 (Wi-Fi) standards (2014)

Advisor: Dr. Colin Allison

News

Bloomberg wrote an article about my research into cryptocurrency pump and dump schemes.

Bruce Schenier, a renowned security expert wrote a blog on our study.

Contact

Email: arghyamukherjee1991@gmail.com
Email: arghya-mukherjee@utulsa.edu
GitHub: https://github.com/amukherjee1991/
Mailing Address: Tandy School of Computer Science
The University of Tulsa
800 S Tucker Dr
Tulsa, OK 74104