Ramesht Shukla Email & Phone Number

Singapore

Singapore

Key Responsibilities:- Lead the initiative to enhance and automate the capabilities of machine learning infrastructure using Docker, Kubernetes, and Terraform.- Provide crucial support to data science and machine learning teams.- Collaborate with data scientists and research engineers to ensure meticulous design and seamless functioning of code.- Spearhead.

Singapore

As Data Scientist in Grab's fraud-security and transport team, I worked on the intersection of big-data engineering, real-time analytics, and behavioral modeling to drive value business value and reduce user and partner friction on the platform.I balanced hands-on model development while collaborating cross-functionally with my stakeholders across Grab..

Singapore

As a Data science Intern, I worked closely at the intersection of Big-data engineering and Machine learning engineering, real time data analytics and Geospatial analytics to drive the business value from door step food delivery.I worked with the grab's data science geo team in building and deploying some of the key state-of-the-art features that will.

California, United States

London, England, United Kingdom

London, England, United Kingdom

OpenMined is an open-source community whose goal is to make the world more privacy-preserving by lowering the barrier-to-entry to private AI technologies.

Singapore

• Perform data collection form test participants.
• Managing and developing a data preprocessing and analysis pipeline to extract useful information form raw sensor data and convert it to actionable data.
• Creating reports and analysis documentation for industry partner.

Indore, Madhya Pradesh, India

• Researched on condition monitoring methodologies for rotating components in mechanical systems and successfully created supervised machine models with accuracy of 98%.
• Worked (alongside Research scholars) to assess on novel end to end mechanical (Polymer gears and Hydraulic telescopic Cylinders) and bio-medical applications (Root Canal Kinematics) of machine learning and deep.
• Collaborated with Research Scholars and Advisor for taking a lecture on “Application of Python and Machine Learning in Mechanical Systems” during a short-term course with over 50 participants.

Singapore

• Completed a 4 Week Intense training program in “Big Data Analytics using Artificial Neural Networks.”
• Undertook a 1 Week program conducted by HPE on “Big Data and Hadoop System Administration.”
• Analyzed, preprocessed, and created a regression model for predicting electricity bill using the yearly electricity consumption data and achieved an R-Score of 0.95. R and Python were used for plotting visualizations.

Master Of Computing

Relevant coursework : Data driven decision making, Big data processing and analytics, Functional and stream programming, Knowledge.

Bachelor Of Technology, Electronics Engineering, 9.3/10

Activities and Societies: Co-Founder and core team lead of Mozilla Campus club. Member of Core Technical Team at Network Security Group..

Diploma In Network Security