Bhaskar Saikia
Lead Machine Learning Engineer
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About
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
