Professional Highlights

A timeline of my key achievements, certifications, publications, and professional engagements in the field of AI, Machine Learning, and Data Science.

• [2023] AWS Machine Learning Specialty Certification - Advanced certification demonstrating expertise in ML on AWS
• [2023] AWS Cloud Practitioner Certification - Foundation-level AWS cloud services certification
• [2022] Peer reviewed Quant/Applied ML article on the analysis of price volatility in ISONE published in Data Science in Science Journal
• [2022] Applied ML article on Analysis of species distribution model of power outages using community science data published in Environmental Research Journal
• [2022] Peer reviewed Quant/Applied ML article on analysis of hydropower impact on electrical price volatility published in Environmental Research Journal
• [2021] Peer reviewed Applied ML article on Bayesian Optimization and Hierarchical Forecasting of Power Outage Published in Energies Journal
• [2021] Organized KDD workshop on Applied ML for Risk Analysis in Complex Interconnected Human-Natural Systems
• [2021] Selected as a Rising Star in Applied ML/Data Science by the University of Chicago Centre for Data and Computing (CDAC)
• [2021] Peer reviewed article applied data science article on data-driven critical risk indicators for the electrical grid
• [2021] Organized applied ML Hackathon to investigate Texas Outage Crisis
• [2020] Invitation to attend JP Morgan AI and ML black Leaders Summit
• [2020] Invitation to attend Oxford machine learning summer school
• [2020] Invitation to attend the Duke Energy Data Analytics Symposium
• [2020] Presented Applied ML/Data Science research work at AGU 2020 Meeting