Pahal Patangia

Pahal Patangia is a seasoned professional with a diverse background in data science and machine learning, particularly focused on applications in the financial sector.

With a Master's degree in Business Analytics from the University of Minnesota and a Bachelor's degree in Electrical Engineering from the National Institute of Technology, Tiruchirappalli, Pahal's educational background reflects a blend of technical expertise and analytical skills.

Having held positions at prominent organizations such as NVIDIA, BlueChip Financial, and FICO®, Pahal has honed his skills in utilizing machine learning algorithms for credit decisions, fraud detection, and regulatory modeling within the financial services industry.

At NVIDIA, Pahal played a pivotal role in helping financial technology companies and startups solve complex machine learning challenges efficiently and cost-effectively, leveraging his deep domain expertise to drive impactful solutions.

His experience spans across areas like underwriting, default prediction, fraud detection, collections, and regulatory modeling, showcasing his versatile skill set and strategic approach to data science projects.

Additionally, Pahal's background includes roles in venture capital, developer relations, and data science, illustrating his well-rounded expertise in different facets of technology and business.

With a history of working in both established financial firms and innovative tech companies, Pahal brings a wealth of experience and insights to the intersection of data science, machine learning, and financial technology.

His hands-on experience in machine learning for fraud and credit, coupled with his educational foundation and diverse professional background, positions Pahal as a proficient expert capable of driving data-driven solutions in challenging business environments.