About Me 
Find out more below, or take the  scenic route.

Meet Tal Sansani

Owner and Operator of Off-Script Systems

Tal Sansani is a technologist, quantitative researcher, and investment management consultant with over 15 years of professional experience. Prior to consulting, Tal built and led the data-science efforts at American Century Investments' Quantitative Equity Group, directly informing investment strategies of nearly $15B in AUM.

Tal operates at the intersection of technology and investment research: with extensive hands-on experience developing unstructured data pipelines, performance analytics, and predictive financial models. His practical investment applications of Natural Language Processing (NLP) and Machine-Learning have earned him recognition from industry leading organizations and the financial media. Tal graduated with honors from the University of California, Los Angeles, earning a B.S. in Applied Mathematics, with a Specialization in Computing. He is a CFA Charterholder.

Away from work, you'll find Tal in Oakland, CA, spending time with his wife and two kids, riding his bike, pickleballing, golfing, and overly obsessing about NBA basketball.


Joy in Building

"Be completely engaged with what you are doing in the here and now,
and instead of calling it work, realize it is play." — Alan Watts

Moving from a career in the corporate world to consulting allows me to more purposfully align the things I do with the things I like. "My work" often looks something like this:

1. Collecting

Managing Messy Data

2. Exploring

Data-Driven Research & Development

3. Packaging

Making it Practically Useful for Others

Focusing on what I like is both clarifying and effective. Free from layers of corporate bureaucracy, I now connect more directly with the people I'm helping and the problems I'm solving, ultimately leading to more creative and meaningful outcomes.

Quantiative Equity Research

Measuring Intangible Drivers of Economic Success

My focus is quantitative research, which combines data and economic sensibilities to better understand why some companies succeed and others fail. I am specifically interested in the quantification of company intangibles (culture, brand, intellectual property, human capital, etc.) and a variety of other hard-to-pin-down dimensions (investor sentiment, economic moats, environmental impact, etc.) that aren't neatly published in financial statements.

Fifteen Years of Hands-On Experience

50% Technical Frameworks + 50% Investment Management

  • Technical Expertise

    Hands-on experience implementing production data-pipelines, stock-selection models, and custom research applications. Combining modern frameworks with cloud infrastructure, favoring simplicity over complexity.

  • Frameworks & Libraries:
    Python R SQL NoSQL Pandas HuggingFace SpaCy NLTK Scikit-Learn Tidyverse
    Cloud Architecture:
    S3 DynamoDB RDS Athena EC2 Lambda Heroku ElasticSearch
    Power APIs:
    Google Search Diffbot Knowledge Graph ScrapingBee NLP Cloud
    Custom Analytics:
    Tableau Dash Shiny Flask HTML js CSS
    Management & Design:
    Project Management Data Architecture Process Design QA Training & Mentoring
  • Investment Expertise

    Institutional experience building stock-selection models, leading data-science teams, and managing portfolios. CFA Charterholder. Combining economic intuition with non-traditional data, favoring simplicity over complexity.

  • Prior Responsibilities:
    Portfolio Manager Quantitative Researcher Data & Analytics Manager Client-Facing
    Research Focus:
    Alternative Data Intangible Assets Sentiment Economic Networks ESG Trend-Detection
    Investment Software:
    Factset Refinitiv Axioma Barra APIs ...
    Traditional Data:
    Fundamentals Estimates Returns Risk-Models ...
    Alternative Data:
    SEC Disclosures Conference Calls ESG Patents News Company Jobs & Reviews Search Logs ...

Industry Recognition