I have 4+ years of work experience in Data Science with a proven ability and history of developing full-stack data science projects. Hands-on experience leveraging machine learning, deep learning, and transfer learning m…
I have 4+ years of work experience in Data Science with a proven ability and history of developing full-stack data science projects. Hands-on experience leveraging machine learning, deep learning, and transfer learning models to solve challenging business problems.
Designed and developed a comprehensive and versatile Data quality and Value assessment module for a US based asset management company.
Developed the module on Jupyter notebook with a Python kernel.
Reduced the time of data quality assessment of more than 500 million rows of data from 60 hours to 50 minutes.
Built compatibility with different types of datasets including transaction, health-care, and geolocation datasets.
Generated 2 reports.
Allowed flexibility for users to tailor conditions and checks according to business needs.
Assessed the quality of data.
Analysed a dataset containing data on various customers' annual spending amounts of diverse product categories.
Used PCA and Gaussian Mixture Model clustering algorithm to describe variation in different types of customers.
Provided insight into how to best structure delivery service to meet the needs of each customer.
Worked on one checkout platform for real time streaming application for financial data.
Built a real time streaming platform for different business domains of Expedia including Vrbo, Hotels, Car Rentals, and Lodging.
Captured and processed financial data for accounting.
Helped suppliers track total amount to be paid via Auto Pay or Request Pay model.
Crafted a scalable streaming solution using Flink StateFun to handle approximately 800k booking streams each day.
Worked on an investment banking project for Barclays capital as client.
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