Thejas Prasad
Verified Expert in Engineering
Team Management Developer
Austin, TX, United States
Toptal 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.
Portfolio
Experience
- Python 3 - 6 years
- Linux - 5 years
- Amazon Web Services (AWS) - 5 years
- Team Management - 5 years
- Agile - 5 years
- Product Management - 3 years
- Azure - 3 years
- Spark - 2 years
Availability
Preferred Environment
Amazon Web Services (AWS), Azure, Windows, MacOS, Linux, Python 3
The most amazing...
...team 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.
Work Experience
Head of Data
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.
Senior Data Scientist | Founder
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.
Experience
Quarterly GDP Prediction
Education
Bachelor's Degree in Electrical Engineering
The University of Texas at Austin - Austin, Texas
Skills
Libraries/APIs
Pandas, Scikit-learn, SciPy, NumPy, OpenCV, Natural Language Toolkit (NLTK), Keras
Tools
IBM Watson, Apache Airflow
Languages
Python, Python 3, SQL, Scala, JavaScript
Paradigms
Agile, ETL, Business Intelligence (BI)
Platforms
Linux, MacOS, Windows, Azure, Amazon Web Services (AWS)
Storage
PostgreSQL, MySQL
Frameworks
Spark
Other
Data Science, Agile Data Science, Financial Data Analytics, Team Management, Product Management, Data Analytics, Statistical Modeling, Statistics, Data Analysis
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