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Satyadarshi Behera
Data Science at CRED - I am hiring!
Satyadarshi Behera is the Head of Data Science at CRED, a financial technology company based in Bengaluru, India. He has been in this role since September 2019 and has a rich background in data science and analytics, having held significant positions in various organizations.
Professional Background
- Director of Data Science at RIVIGO: Prior to his current role at CRED, Satyadarshi served as the Director of Data Science at RIVIGO, where he contributed to enhancing logistics solutions through data-driven strategies.
- SVP/Head of Data Sciences at Star TV Network: He also held a senior position at Star TV Network, focusing on data analytics for media.
- Director of Data Science at Media.Net: His experience includes developing innovative advertising solutions.
- Amazon: Satyadarshi spent a decade at Amazon, leading machine learning teams and implementing strategies to improve customer experiences.
Education
Satyadarshi holds a Master’s degree in Statistics from the Indian Statistical Institute, which he completed between 2004 and 2006. His education emphasizes statistical methods with an application in cybersecurity.
Skills and Expertise
Satyadarshi is recognized for his deep understanding of business concepts as well as his ability to quickly devise statistical solutions. He is proficient in multiple languages, including English, Hindi, Bengali, and Oriya.
LinkedIn Presence
His LinkedIn profile under the username bsatya showcases his professional insights and updates related to data science opportunities at CRED.
Overall, Satyadarshi Behera is a seasoned expert in data science with a proven track record of leadership and innovation across various sectors.
Highlights
calling all experienced ML scientists/engineers with a passion for LLMs - if you have expertise in LLM-related technologies, we have a role that may interest you. please send me a message with a brief description of your relevant experience if you're interested! #MLscientist #engineer #LLM #hiring #datasciene
We're on the lookout for an experienced ML scientist/engineer with a passion for LLMs. If you have experience working with LLM-related technologies , we'd love to hear from you! DM me with a brief description of your relevant experience, if this interests you.
