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Bhaskar saikia

Bhaskar saikia

Lead Machine Learning Engineer

Accounting / Finance

London, Greater London

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About Bhaskar saikia:

As a lead machine learning engineer at Accenture, I develop and deploy end-to-end data and ML pipelines for various clients in the banking and energy sectors. I use Python, TensorFlow, sklearn, Flask, Scala, Spark, and other tools to create and monitor scalable and robust ML models for financial and operational data. I also leverage cloud platforms such as GCP and AWS to ensure data integrity, security, and accessibility.

I have a master's degree in data science from Queen Mary University of London, where I learned advanced concepts and techniques in data analysis, machine learning, deep learning, natural language processing, computer vision, and data visualization. I have also earned multiple certifications from Oracle and Aspiring Minds, and won the second prize in Code Combat, a technical skill competition. I am passionate about learning and implementing new and innovative data science solutions that can solve real-world problems and add value to businesses.

Experience

As a lead machine learning engineer at Accenture, I develop and deploy end-to-end data and ML pipelines for various clients in the banking and energy sectors. I use Python, TensorFlow, sklearn, Flask, Scala, Spark, and other tools to create and monitor scalable and robust ML models for financial and operational data. I also leverage cloud platforms such as GCP and AWS to ensure data integrity, security, and accessibility.

I have a master's degree in data science from Queen Mary University of London, where I learned advanced concepts and techniques in data analysis, machine learning, deep learning, natural language processing, computer vision, and data visualization. I have also earned multiple certifications from Oracle and Aspiring Minds, and won the second prize in Code Combat, a technical skill competition. I am passionate about learning and implementing new and innovative data science solutions that can solve real-world problems and add value to businesses.

Education

MSC in Data Science

Machine Learning framework:

Tensorflow, Deep Learning, Scikit- learn, MLPack

Backend and frontend:

Python, JavaScript, Node.js, Flask, jQuery, HTML/HTML5, CSS/CSS3

Cloud Computing:

AWS, Google Cloud Platform (GCP)

Web Server related:

Apache, Nginx, FTP, email, firewall, backup, system monitoring and security

Version Control:

Git, SVN, CI

Database:

Elasticsearch, MySQL, MongoDB, Oracle SQL, Postgre SQL

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