Jai Surya

Jai Surya

Senior Data Scientist @ Scry AI

About Jai Surya

Jai Surya is a Senior Data Scientist with extensive experience in data science and machine learning. He has worked with notable companies such as Cisco, ABB, and Scry AI, and holds degrees from prestigious institutions including the Indian Institute of Technology, Delhi.

Current Role at Scry AI

Jai Surya serves as a Senior Data Scientist at Scry AI, a position he has held since 2024. His role involves applying advanced data science techniques to solve complex problems and contribute to the organization's goals. He works on-site in Gurugram, Haryana, India, where he collaborates with a team of data professionals to drive innovative solutions.

Previous Experience at Scry AI

Before his current role, Jai Surya worked at Scry AI as a Data Scientist - II from 2020 to 2023. His responsibilities included developing data-driven models and utilizing machine learning algorithms to enhance project outcomes. He also held the position of Data Scientist - I at Scry AI from 2018 to 2019, where he began to establish his expertise in data science.

Professional Background in Data Science

Jai Surya has a diverse professional background in data science, having worked at various organizations. He was a Data Scientist at ABB from 2019 to 2020, where he applied his skills in data analysis and modeling. He also gained experience as an Offsite System Engineer at Cisco for five months in 2018, which provided him with insights into system engineering and data integration.

Education and Expertise

Jai Surya holds a Diploma in Data Science & Machine Learning from the Indian Institute of Technology, Delhi, where he studied from 2020 to 2022. He also earned a Bachelor of Technology in Computer Science and Engineering from the Indraprastha Institute of Information Technology, Delhi, from 2013 to 2017. His educational background equips him with a strong foundation in computer science and data science methodologies.

Technical Skills and Tools

Jai Surya is proficient in utilizing Azure Services and Databricks for his data science projects, indicating his expertise in cloud computing platforms. His knowledge extends to network protocols, which complements his data science and machine learning skills, enabling him to tackle a wide range of technical challenges in his work.

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