About

Aditya Singhal is a skilled Data Engineer at Accenture with a strong background in Data Science. He has been associated with Dun & Bradstreet as a Data Scientist, where he played a vital role in developing Credit/Risk frameworks and was a key resource for the development of frameworks and pipelines using Python, SQL, and Spark. Aditya has also been part of key initiatives such as Analytics Sandbox and has developed products to enhance the customer experience in an end-to-end workflow, resulting in quicker turnaround time in terms of development and deployment. Aditya is proficient in various tools and technologies, including Spark, Python, PySpark, Databricks (Deployment and Jobs), Machine Learning, and Analytics. He has also worked on developing automated modeling tools for quicker model development and deployment and created a Scorecard package for internal/external customers. Aditya has developed key risk-based algorithms such as Credit limit and Credit prioritization for D&B's customers and has also developed data pipelines for modeling/analysis. He has also developed a forecasting framework to help reduce the turnaround time for Econometrics Team by 80%. Aditya has a Bachelor of Technology degree in Computer Science from SRM University, where he graduated in 2020. He has also worked as an Intern at D&B Technologies & Data Services. Aditya's technical expertise includes Data Engineering, Spark, Python, SQL, Data Scientist, Research Scientist, Databricks, and ML. With 2.86 years of relevant experience, Aditya is a highly skilled and motivated individual who is committed to delivering high-quality work.