Mansimran Kaur

Collaborative goal oriented professional with dedication to partnering with coworkers to promote engaged, empowering work culture. Documented strengths in building and maintaining relationships with diverse range of stakeholders in dynamic, fast-paced settings.

• Industrial AI Consortium Bootcamp
• Conducted by IISc, Hydac and Flutura
• Distributed Cloud Computing
• Certification by PES University
• Machine Learning
• Certification by PES University
• Google Data Analysis with R programming
• Certification by Coursera (Google specialization certificate)
• IBM Data Analysis with Python
• Certified by Coursera (IBM professional certificate)
• Data Visualization and dashboards with Excel and Cognos
• Certification by Coursera
• Arduino workshop by Equinox- The Space Club and Crucible of Research and Innovation

• PROJECTS:
• Distributed Decision Making in a Wireless Network – Using DNNs for decentralized decision making with the aim to determine the optimum transmit power by using local estimates of the channel gain and implementing it on k210 processor.
• Implementation of an AutoEncoder using PyTorch- Deep learning framework PyTorch used for the use of auto-encoder for denoising hand written digits.
• Continuous Delivery and Release Pipelines with Azure DevOps- Used Azure DevOps Services to safely deploy new software version to the environments in the Microsoft’s cloud called Azure.
• Personalized music recommendation system – Text enabled user interface to curate music content based on algorithms using Fuzzy Logic and Artificial Intelligence.
• Fault Analysis of DC Renewable Microgrids using Machine Learning - Fault classification and detection for a DC Renewable Microgrid by testing and comparing different Machine Learning models on MATLAB Simulink.