Ayan Ghosh
Data Scientist at Uber
Based in Bengaluru, India
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Seniority
Staff
Department
Information Technology
Location
Bengaluru
Industry
Internet Marketplace Platforms
Company size
145K
Contact information
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a•••••••@uber.com
Phone
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Background
About Ayan Ghosh
As a Senior Data Scientist at McAfee, I lead projects that leverage machine learning and natural language processing to enhance customer engagement, retention, and conversion. I have successfully developed and deployed ML models and pipelines that reduce dataset building time, predict customer segments at risk of churn, and formulate dynamic pricing strategies based on customer behavior and feature engagement. Prior to joining McAfee, I worked as a Senior Data Scientist at S&P Global Market Intelligence, where I acted as a project lead and developed an NLP pipeline for sentiment analysis on Chinese financial texts, achieving a high F1 score. I also developed an end-to-end NLP pipeline for document classification, enabling the sales team to generate leads with a 70% reduction in manual effort. Additionally, I developed a statistical confidence score API module for the internal text extraction engine and implemented error and validation checks for the extracted data. I hold a Master's degree in Business Analytics and Big Data from IE School of Human Sciences and Technology, where I was a member of the Beta Gamma Sigma Honor Society and the Dean's List. I also hold a Master's degree in Management from IE Business School and a Bachelor's degree in Electronics and Instrumentation Engineering from Techno India, Saltlake. I have multiple certifications in machine learning and TensorFlow from Coursera and Microsoft. I am a highly motivated and adaptable data science professional with a keen interest in personalization and recommendation systems. I possess strong analytical and problem-solving abilities, coupled with excellent communication and collaboration skills. I am a proactive team player with a passion for continuous learning and the ability to excel in diverse work cultures.
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