Amanjyot Singh R.

About Amanjyot Singh R.

I am a results-driven Data Analytics and Data Science professional with more than 5years of hands-on experience in leveraging AI and Machine Learning to drive business growth. Holding an M.Tech in Data Science and Engineering from BITS Pilani, I specialize in transforming complex data into actionable insights using tools like SQL, Python, PySpark, and cloud platforms such as Azure and AWS.My career began at LTI as a Data Analyst and Data Engineer, where I successfully executed analytics projects for governmental and financial clients. Currently, as a Senior Software Engineer at SAS, I lead innovative projects that enhance credit risk modeling through advanced AI solutions. My key achievements include developing predictive models for major US banks and integrating AI capabilities into SAS Viya\'s cloud applications.I thrive in collaborative environments, mentoring teams to deliver high-quality results while maintaining compliance with industry standards. Passionate about continuous learning and innovation, I am eager to connect with like-minded professionals to explore new opportunities in data-driven solutions.

Experience

1. Senior Software Engineer - Analytics Development

   SAS

   Apr 2022 — Present · Maharashtra, IN

   Deployment and Development Played a pivotal role in deploying and developing credit risk models (PD, LGD, EAD) for major US banks using SAS and Python, ensuring the delivery of high-quality solutions under Agile Methodology. Proficient in building advanced predictive models, including (not limited too) Gradient Boosting, Decision Tree, and Logistic Regression for accurate probability of default (PD) calculations. Developed cutting-edge modules such as Synthetic Data Generation, Automated PDF Summarizations, and OCR using Azure OpenAI (LLM), further enhancing the capabilities of the SAS System for credit risk modeling. Regulatory Expertise: Demonstrated a strong understanding of Basel and IFRS 9 models and regulations, ensuring compliance and alignment with industry standards. AI Integration: Spearheaded the integration of AI capabilities into the existing Risk Modeling application (SAS VIYA on Cloud), enhancing efficiency and predictive power for credit risk analysis. Designed a custom Key Performance Indicator (KPI) module on SAS Risk Cirrus, offering flexibility in calculating new measures for credit risk models to monitor model\'s performance along with existing set of KPIs provided by the Framework. Excelled in communicating value propositions and preparing documentation for multiple projects, fostering collaboration among stakeholders and building relations. Integrated Python and R with the traditional SAS environment, enhancing the value and competitiveness of credit risk products. Innovated the Auto Data Insights Module and Feature Engineering, enabling stakeholders to gain quick, detailed insights into underlying data, accelerating credit risk decision-making processes. Mentored a team of 4, providing guidance and support in delivering various credit risk project components, showcasing leadership skills. Awarded the VCA (Very Commendable Achievement) for innovation in integrating AI solutions into credit risk modeling applications.

Education

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech

  2021 — 2023

• Terna Engineering College

  Bachelor of Engineering - BE

  2015 — 2019