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Jesse J Bisogni

Data Scientist


Data Scientist at Latham & Watkins LLP

Work History

Sep 2015Present

Data Scientist

Latham & Watkins LLP
  • Develop, test, and implement novel tools to expand current knowledge management system (e.g., named- entity and keyword extraction).
  • Deploy named-entity extraction software in an operational setting. Integrate software into newly created document processing workflow.
  • Apply latent semantic analysis (LSA) to quantify text documents (e.g., client satisfaction evaluations) and locate documents with semantic similarities.
  • Build web-scraping tool to extract online news content and site-specific content for competitive intelligence database.
  • Liaise with and create presentations and visualizations for Executive Committee members.
  • Merged and analyzed disparate datasets to produce actionable intelligence (e.g., identified new domes- tic/foreign legal markets with client billing data and open-source datasets).
  • Detected anomalies in document download patterns of sensitive client data based upon individual’s unique document download profile (internal compliance).
  • Analyzed timecard data to identify timecard leakage and lost revenue for the firm.
  • Determined which law schools produce the highest performing first year associates.
  • Analyze employee attendance to inform Executive Committee of firm's real-estate needs. 
  • Evaluate firm’s travel data to better understand geographic needs, travel costs, and possible “green” initiatives.

Sep 2013May 2015

Research Assistant - Data Analysis

Signal Analysis and Interpretation Laboratory, University of Southern California
  • Organized and analyzed large linguistic corpora (text and audio) with quantitative and qualitative measures.
  • Developed novel methods for analyzing narratives with empirical measures. 
  • Applied statistical modeling and natural language processing to linguistic analyses.
  • Worked in a Linux environment; running and developing codes/functions/scripts.
Sep 2009Sep 2013

Linguistic Data Scientist

U.S. Department of Defense
  • Provided technical guidance for human language technology projects (e.g., statistical machine translation).
  • Established methods and processes for implementing language technology integration in an operational setting.
  • Strategically inserted language technologies into the workflows of analysts to increase accuracy and efficiency.
  • Supervised workflows of analysts and assessed workloads and standard operating procedures.
  • Identified partnerships within the U.S. Government for cost-effective solutions.
  • Trained Afghan Government Officials on technology integration and database management. 
  • Collaborated with international partners (e.g., United Nations, UK Gov’t, Afghanistan Gov’t).

Detail Assignment at the National Virtual Translation Center

  • Made recommendations to senior management regarding technology integration and workflow processes.
  • Coordinated large-scale translation projects from the beginning to end.
  • Developed translation quality assurance program to ensure top-quality products for customers.
  • Piloted new translation software: identified problems with software and created training manual for non-native English speakers.
Jun 2009Sep 2009

Paralegal Specialist

U.S. Department of Justice
  • Examined relevant geographic and product markets, performed corporate due diligence, determined competitive harm of acquisitions and made recommendations based on these analyses.
Jan 2006Jun 2008

Exhibition Coordinator

The World Bank
  • Conceptualized, designed and supervised corporate art exhibits and effectively managed exhibition budget.

  • Designed, wrote and coordinated promotional materials and exhibition brochures.

  • Coordinated special events (e.g. discussion panels, symposiums, internet broadcasts, openings and receptions).
  • Developed relationships with partner organizations (e.g., MTV Europe and Ricky Martin Foundations).


R (programming language)

Ran linear mixed effects regression models and visualized results. 


Applied Python to basic Natural Language Processing applications.


Data extraction and management.


Used SPSS for classic statistical analyses.


Worked in a Linux environment; running and developing codes/functions/scripts


Created a simplified speech synthesis engine .

Advanced Excel

Organized, visualized and analyzed data using pivot tables and Excel functions.

Google Apps

High proficiency in Google Apps.

Microsoft Office Suite

High proficiency in Microsoft Word, Excel, Powerpoint, Outlook.

Geographic Information Systems



High proficiency in writing, speaking and listening.



Master of Arts , Linguistics

University of Southern California
  • Honors: NSF Graduate Research Fellowship – Honorable Mention
  • GPA:  3.85

Bachelor of Arts, Linguistics

Georgetown University
  • Honors: Gulentz Scholarship; Steven de Balmaseda Memorial Scholarship; cum laude
  • GPA: 3.59