Jordan KupersmithLogo Seeds

Jordan Kupersmith

Buenos Aires
- Seeder desde

Specializing in creative innovation in the application of Data Science. Views Data Science as an art as well as science. Superior communication skills demonstrated through designing, delivering and coordinating presentations and documents, production of proposals, memos, and detailed reports, public speaking, staff and volunteer management, maintaining excellent interpersonal skills, and coordination of special projects. Strong leadership and organizational development skills, consistently volunteer for and excel at advanced assignments with proven success record, work intensively toward shared goals with colleagues and staff, hold reputation as a goals and results-oriented professional, and consistently recognized by managers for achieving organizational objectives on time and within budget.


Data Scientist

Machine learning
A / B Testing
Diseño y administración de bases de datos
Inteligencia artificial
Modelado de datos
Modelos predictivos
Apache Kafka

Experiencias relevantes

Fundación Capital - Data Science Specialist


  • NGO working to eliminate poverty through the inclusion of access to training, capital and productive opportunities. Responsible for driving a data maturity process, data visualization, and algorithms. Recipient of the inclusive growth challenge grant.
Tuki - Chief Data Scientist and Partner


  • Tuki is a pre-seed start-up to empower the food service and hospitality community with effective scheduling, staffing, and support. Responsible for directing data science operations, business operations and the development of algorithms.
Data Science for the Social Good Fellowship

Lisbon, Portugal - 2018

  • University of Chicago summer program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more.
AFL-CIO - Lead Targeting Analyst

Washington, DC  - 2011-2015

  • Developed automated state legislative targeting system, which had a higher accuracy in the 2012 election than many federal legislative level targeting systems that relied on a far greater volume of polling data. Created standard and boutique models, forecasted population changes and patterns and identified targets where intervention is likely to be cost effective.
  • Wrote an automatic modeling program that explores multiple feature selection methods and modeling algorithms, selects the optimal solutions for the dataset and scores files up to 60 GB in size.
  • Implemented a cost effective polling program where 100,000 union members were interviewed in 13 states and oversaw the production of hundreds of polling products including toplines, banners and strategy memos.
  • Designed a database reporting tool to track labor union campaign spending that generates automated reports by year, affiliate union, and type of donation.
  • Oversaw survey design and sampling for general public polls. Developed messages to be tested and wrote memos to be used in lobbying elected officials and briefing executives of findings.
  • Managed a staff of four people in the peak election season to balance workflow, assure deadlines were met, checked quality of work and synthesized results.
Greenberg Quinlan Rosner Research - Analyst

Washington, DC - 2010

  • Managed a staff of three people to direct the aggregation of almost one million surveys records to mine them for insights into voter behavior. Created and applied innovative techniques in data management, process automation and analytics to maximize the strategic value of client data.
  • Directed the creation of weekly PowerPoint briefings of emerging political trends and voter behavior and presented a portion of the briefings.
  • Identified key voter groups and Congressional Districts to target. Wrote survey questionnaires including message testing. Researched legislation to write campaign talking points.
  • Managed a budget and progress reports.
  • Prepared data for multivariate analysis by recoding variables, appending datasets and using multiple imputation to correct for missing data. Used multivariate analysis including linear and non-linear regressions, principal component analysis, factor analysis, CHAID analysis and decision tree analysis to formulate clear and concise reports to guide clients without advanced knowledge of statistics.
Greenberg Quinlan Rosner Research - Assistant Analyst

Washington, DC -  2009-2010

  • Managed a large database of polling data consisting of nearly one million observations and over 1,000 variables. Responsible for the proofreading, cleaning, standardization and integration of data into the database. Appended geographic, economic, and voter file data to survey data.
  • Conducted research and development of sampling and survey methodology. Restructured the database and processes to improve efficiency including using SQL Server.
  • Wrote script in SPSS and STATA to automate processes. Formatted analysis for presentation in PowerPoint and created programs to automatically display output graphically. Collaborated in the creation of a knowledge sharing wiki. Managed an intranet website.
AFL-CIO - Research Aide

Washington, DC - 2008

  • Contributed to message development and message testing, proofread data sets and documents, identified potential targets for state legislatures and U.S. Congressional districts.
  • Assisted with meeting preparations, coordinating Labor 2008 release staff, and participated in Labor 2008 staff trainings. Demonstrated experience with Internet-based research, knowledge of the workings of the labor movement, and familiarity with political programs.
  • Wrote SPSS software syntax and Excel macros to reduce survey process time from 2 to 3 hours down to 10 to 20 minutes, and learning STATA to target membership for mailings using statistically modeled variables

Other skills and tools

  • Python, iPython, R, Stata, SPSS, SAS, Linux Bash, basic javascript and basic html
  • Hadoop, PostgreSQL, BigQuery, MapReduce, Hive, Spark, Storm
  • NoSQL data stores (Cassandra)
  • Tableau, Data Studio, R Graphics, python graphics
  • Natural Language Processing
  • Database Development Certified
  • Cloud Computing, Machine Learning, Data Mining, modeling, forecasting, Lexis-Nexis, QGIS
  • Native English and Spanish. Intermediate Portuguese


Master of Information and Data Science

University of California, Berkeley

Post-Graduate Certificate in Applied Statistics

Pennsylvania State University, State College