Jan 2022 – Jan 2024 · 2 yrs

• AiDash helps industries become more resilient, efficient and sustainable through the power of satellites and AI. With access to a continual, near real-time stream of critical data, utilities, energy, transportation, water and wastewater and other core industries can make more informed decisions and build optimized long-term plans, all while reducing costs, improving reliability, and achieving sustainability goals.

Apr 2021 – Jul 2021 · 3 mos · San Francisco Bay Area

• Help Fortune 500 companies reach their Sustainability Goals
• Worked with Statistical and Machine Learning Algorithms to detect leaking Methane Emissions from Oil Wells and Gas Pipelines in the Permian Basin(US) using High-Resolution Satellite Data up to an accuracy of 25m (State-Of-The-Art)
• Handled end-to-end development of Proof of Concept(POC) for top US natural gas producing clients.
• Contributed to GHG Emission Control of Intelligent Sustainability Management System - help companies reach their Sustainability Goals.

Jan 2022 – May 2022 · 4 mos · Boston, Massachusetts, United States

• Master's Thesis on Physics Informed AI and Encoding Data Inherited Symmetries in Neural Network Architecture.

Jul 2021 – Dec 2021 · 5 mos · Gurugram, Haryana, India

• Transformed how American Express interacts with its Customers using NLP.
• Worked on improving Customer Experience.
• Causal Inference for different areas of Call Explainability.
• Sentiment Flow Modelling to automate the Calling Experience Analytics of millions of calls per week.
• Financial Fraud Detection of "Did Not Apply for Credit Card" using Transfer Learning-BERT.
• Customer Privacy Protection inclusion in the current system.

Apr 2020 – Feb 2021 · 10 mos · Dublin, Ireland

• GHG Emission Analytics during pre-post COVID lockdown
• Worked with large-sized Sentinel-5P(EU satellite) data to analyze the atmosphere of Central India post COVID-19 lockdown and make relevant predictions for unlocking session. Noted a drop of 42.4% in Nitrogen Dioxide concentration.
• Implemented LSTM Model(Deep Learning) to predict the Nitrogen Dioxide Concentration for the next 15 days and quantified the effect of lockdown on pollution levels.
• Work selected for IEEE International Geoscience and Remote Sensing Symposium 2021.

May 2019 – Jul 2019 · 2 mos · Delhi

• Contributed to GMR's Corporate Social Responsibility Wing - Varalakshmi Foundation
• Automated the existing manual Billing System of the organization and modified using MS-Excel for over 200+ products which were a first in the organization with several features like monitoring, improved categorization of past sales, and easy handling.
• Expanded the domain of the organization from the local market to the B2B domain by marketing and pricing on Flipkart and Amazon. Advised on exploring new avenues for sales and using existing features of online business.

May 2018 – Jul 2018 · 2 mos · Delhi

• Ferrofluids: Synthesis and Physio-chemical Characterization
• I worked with Ferrofluids under the guidance of Dr. R P Pant, Chief Scientist at NPL, Delhi.
• The learnings included the process of preparing industry level ferrofluids and the use of advanced laboratory equipments(Rheometer and X-Ray Diffractometer) for collecting raw data of nanoparticle. Origin(software) was used for analyzing and plotting data of different characteristics of the sample.