SOFTERINOX INC. WHO WE ARE
We are Consulting Agency
With more than 20 years of statistical & analytical experience primarily in the financial domain, – we are involved into very different aspects of business intelligence, data science and predictive analytics.
But mostly we are concentrated on credit risk modeling and credit score analysis.
Credit Risk Analysis Model
Financial institutions used credit risk analysis models to determine the probability of default of a potential borrower. The models provide information on the level of a borrower’s credit risk at any particular time. If the lender fails to detect the credit risk in advance, it exposes them to the risk of default and loss of funds. Lenders rely on the validation provided by credit risk analysis models to make key lending decisions on whether or not to extend credit to the borrower and the credit to be charged.
WHY CHOOSE US
With more than 20 years of statistical & analytical experience primarily in the financial domain, – we have the knowledge and experience in very different aspects of business intelligence, data science and predictive analytics.
OUR CLIENTS
Cisco Systems
Pacific Capital Bancorp
Wells Fargo Bank
eSignal
OUR SERVICES
Have a project for us? Call us now!
VAL KRYSOV
PhD in Economics.
- Statistical/Business Intelligence Architect/Analyst/Team Lead/Manager with 20+ years of experience with strong emphasis in design, development, testing, and implementation of projects.
- Fluent in Python NumPy, SciPy, Pandas, and Scikit-learn; SAS/BASE, SAS/STAT, SAS/SQL, SAS/MACROS in Windows and UNIX environments.
- Built and deployed an assorted collection of statistical and machine learning models for market penetration, share of wallet, credit risk analysis , time series analysis and automation.
415 385 8949
info@softerinox.com
