Thejas Prasad, Team Management Developer in Austin, TX, United States
Thejas Prasad

Team Management Developer in Austin, TX, United States

Member since December 15, 2020
Thejas is named one of the best young entrepreneurs on the Austin Inno's 25 Under 25 list. He has over five years of experience building a successful AI startup with Series A funding and a proven ability to successfully lead and deliver data science projects and products. Thejas is also experienced in full-stack, from building data engineering pipelines to using machine learning to deliver actionable insights and increased revenue for Fortune 100 business.
Thejas is now available for hire




Austin, TX, United States



Preferred Environment

Amazon Web Services (AWS), Azure, Windows, MacOS, Linux, Python 3

The most amazing... of data scientists I've led implemented a loan adjudication model that increased the bank's loan book by CAD$1 billion and gross revenue by CAD$40 million.


  • Head of Data

    2020 - PRESENT
    Remedy Applications, LLC
    • Designed and architected HIPAA-compliant data warehouse for data ingestion, aggregation, data consistency, and reporting.
    • Implemented a data visualization tool, Amazon QuickSight, to deliver KPIs across the business.
    • Oversaw the implementation of the data dictionary and data definitions for the company-wide alignment of business processes and development.
    Technologies: Amazon Web Services (AWS), Python 3
  • Senior Data Scientist | Founder

    2015 - 2020
    Cerebri AI, Inc.
    • Architected a machine learning operations framework to govern and orchestrate models in production, focusing on quality monitoring, standards for deployment, model performance, and model bias and fairness.
    • Led a team of data scientists to implement auto loan adjudication models for a leading Canadian bank (top five in Canada), increasing the bank's loan book by CAD$1 billion and gross revenue by CAD$40 million.
    • Designed and successfully launched social services mobile application to help community members navigate the complex health and human services system in central Texas.
    Technologies: Keras, NLTK, Pandas, NumPy, SciPy, Scikit-learn, Apache Airflow, Spark, Scala, Python 3


  • Quarterly GDP Prediction

    Built a Python machine learning pipeline that had seven stages of transformations from feature engineering, feature selection, feature reduction to modeling, scoring, and explainability. The output was a machine learning model that predicted the gross GDP per quarter as backcast (previous quarter), forecast (next quarter), and nowcast (current quarter).


  • Languages

    Python, Python 3, SQL, Scala, JavaScript
  • Libraries/APIs

    Pandas, Scikit-learn, SciPy, NumPy, OpenCV, NLTK, Keras
  • Paradigms

    Data Science, Agile, ETL, Business Intelligence (BI)
  • Other

    Agile Data Science, Financial Data Analytics, Team Management, Product Management, Data Analytics, Statistical Modeling, Statistics, Data Analysis
  • Platforms

    Linux, MacOS, Windows, Azure, Amazon Web Services (AWS)
  • Storage

    PostgreSQL, MySQL
  • Frameworks

  • Tools

    IBM Watson, Apache Airflow


  • Bachelor's Degree in Electrical Engineering
    2011 - 2015
    The University of Texas at Austin - Austin, Texas

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