About

Priyansh N. is a Software Development Engineer II at Amazon with over 5 years of experience in coding and building products. Over the past 3 years, he has focused on developing solutions using data science and big data technologies to deliver value through software products by generating actionable insights and enabling data-driven decision making. Priyansh has experience in implementing end-to-end data science pipelines, including data gathering, data preprocessing, predictive modelling using machine learning, and visualizing the results. Currently, Priyansh works as a Data Scientist at RBC, where he is building core features for RBC Insight Edge, a personalized insights product for retail merchants. Previously, he worked at Microsoft, where he delivered high-quality code for Microsoft Dynamics 365 and developed a strong foothold in implementing large-scale applications while adhering to best practices. Priyansh is skilled in programming languages such as Python, Scala, C#, and SQL, as well as big data technologies such as Apache Spark, Hadoop, and Apache Kafka. He is also experienced in analytics, including machine learning, natural language processing, and neural networks using scikit-learn, tensorflow, spacy, and nltk. Priyansh has worked with data science platforms such as AWS SageMaker, Databricks, and Domino Data Lab, and is proficient in collaborative working tools such as Git/GitHub, Docker, Agile, and Jira. Priyansh has strong presentation and communication skills, as well as problem-solving experience in requirement gathering, conflict resolution, and stakeholder management. He enjoys a dynamic and collaborative work environment where there is an opportunity to learn and grow. Outside of work, Priyansh is a big fan of Formula 1 racing and watching documentaries. Priyansh holds a Master of Mathematics in Computer Science: Data Science from the University of Waterloo and a Bachelor of Technology in Computer Science from Vellore Institute of Technology. He has relevant experience of 2.19 years and is skilled in software engineering, data science, big data, machine learning, SQL, AWS, Sagemaker, Databricks, NLP, Spark, Scikit, Docker, research scientist, tensorflow, neural networks, Hadoop, Kafka, Python, and Scala.