Adarsh Mahor Email & Phone Number

Boulder, Co, Us

Boulder, Colorado, United States

- Assisting in monthly data reconciliation by downloading, organizing, and analyzing financial data.- Optimizing client and market data using QuickBooks, Excel, and the Bloomberg terminal.- Implementing data management systems to enhance internal and client-facing processes.- Developing systems to minimize data errors and improve data accuracy.- Collaborating with internal teams to ensure effective data handling and reporting. - Gaining hands-on experience in financial data… Show more - Assisting in monthly data reconciliation by downloading, organizing, and analyzing financial data.- Optimizing client and market data using QuickBooks, Excel, and the Bloomberg terminal.- Implementing data management systems to enhance internal and client-facing processes.- Developing systems to minimize data errors and improve data accuracy.- Collaborating with internal teams to ensure effective data handling and reporting. - Gaining hands-on experience in financial data analysis and market trends. Show less

Boulder, Colorado, United States

As a Faculty Support Assistant at the Leeds School of Business during the summer, I worked closely with the Senior Associate Dean for Faculty and the Faculty Support Services Manager. My responsibilities included data collection and processing, researching professors' profiles, and supporting faculty with ad-hoc requests. I collected and organized data from various research websites and ensured accuracy through cross-referencing.

Boulder, Colorado, United States

Developed state-of-the-art web scraper crawlers to collect several survey data from large dataset collections. I will be working forward to develop a Large Language Model solely based on survey.

Boulder, Colorado, United States

● Organized and Managed 250+ Events ranging up to 3500 guests. Manage n-number of staff according to events. Trained and mentored 20+ Student workers and 20+ Staff. Attending clients with exceptional service of Catering. ● Assist as a Front person to assist client, receive orders, manage staff, provide required support, and pull-up events.

Surat, Gujarat, India

Bose.X is an independent multidisciplinary research organization and a cultivating think tank platform through which student researchers can prepare themselves to tackle future challenges. Bose.X was established to support the undergraduate research environment in Indian universities/institutions. We essentially intend to encourage undergraduate students with learning, research, innovation and eventually assisting them in scaling their ideas. Unlike their majors, students from different… Show more Bose.X is an independent multidisciplinary research organization and a cultivating think tank platform through which student researchers can prepare themselves to tackle future challenges. Bose.X was established to support the undergraduate research environment in Indian universities/institutions. We essentially intend to encourage undergraduate students with learning, research, innovation and eventually assisting them in scaling their ideas. Unlike their majors, students from different disciplines are associated together to curate their ideas under lead, co-lead, and mentors. We also strive to highlight the necessity of quality research under national interest at different reputed Indian institutions and organizations via setting up the local sub-branches through this organization. In the long term, our primary goal is to improve India’s global research scenario. Bose.X is open for every research enthusiast and welcomes everyone to make it an emerging multidisciplinary research platform of India.Our GoalHaving open access and India's federal ecosystem for research in natural science advances and other emerging technologies by the year 2025 with the goal that each intrigued dedicated individual, group, and establishment can be effectively part of the environment. Promoting research at the undergraduate level will be our prime interest. Its long-term goal is to create multiple Satyendra Nath Bose and C V Raman-like scientists for India, as the name of the group indicates. Show less

Virginia, United States

Designed, developed, and tested data-centric applications, implemented new features, and engaged in continuous learning of the latest technologies and industry trends.

Columbia, South Carolina, United States

Project Title: Multimodal Fact-checking● Built FACTIFY 3M, a dataset of 3 million samples that pushes the boundaries of the domain of fact verification via a multimodalfake news dataset. It also offers explainability through the concept of 5W question-answering.● Developed this data set using Stable Diffusion, Adversarial Attack, and BERT Image+Text Joint Embeddings.● Also built a Sentiment Analysis Model to classify Hatred memes shared on social media to avoid a societal crisis.

Pune, Maharashtra, India

Project i] The Lyman α (Ly α) emission line of neutral hydrogen plays a prominent role in astrophysics. We have used a redshift (z) Estimator using Line profiles of Distant Lymanalpha emitters which uses deep learning with Markov chain Monte Carlo (MCMC) to fit the spectra and gives parameters of the Inter Steller medium. Project ii] Detected the MgII absorption line using SDSS Quasar absorption spectra and proved deep neural network strongly depends on the filter size in the… Show more Project i] The Lyman α (Ly α) emission line of neutral hydrogen plays a prominent role in astrophysics. We have used a redshift (z) Estimator using Line profiles of Distant Lymanalpha emitters which uses deep learning with Markov chain Monte Carlo (MCMC) to fit the spectra and gives parameters of the Inter Steller medium. Project ii] Detected the MgII absorption line using SDSS Quasar absorption spectra and proved deep neural network strongly depends on the filter size in the filter layer of the neural network. Show less

Bengaluru, Karnataka, India

This is for mission Pratush, a future radiometer will be launched by ISRO in future. I have performed Structural and Thermal analysis of the several primitive geometries along with the thin sheets made up of mainly copper and aluminium. I have also studied other parameters such as thickness, emissivity and many more.

Nainital, Uttarakhand, India

We have detected the S or inverse S-shaped features called as Sigmoids appear in solar, coronal soft X-ray (SXR) images using deep learning. The association of sigmoids to coronal mass ejections (CMEs) made them essential to study from a space weather perspective. We have used XRT telescope data onboard the HINODE satellite, and the YOLO algorithm for our study. This can be a module for Aditya L1 Telescope; India’s First Solar Mission by ISRO.

Surat, Gujarat, India

SAE is a student chapter/society in NIT Surat which provides students environment and the opportunity to learn and develop automobiles and compete in National level events/competitions. Here we study Go-Kart and Formula-one racing cars, as well as design and manufacture them.

Surat, Gujarat, India

The science behind galaxy interaction and mergers has a fundamental role and gives us an insight into galaxy formation and its evolution. Fluctuating angular momentum is responsible for extraordinary events like polar rings, tidal tails, and ripples. To study different phenomena related to galaxy interactions, various parameters like the mass ratio of the interacting galaxy, orbital parameters, mass distribution, morphologies are required. Convolutional Neural Networks (CNN) are widely used to… Show more The science behind galaxy interaction and mergers has a fundamental role and gives us an insight into galaxy formation and its evolution. Fluctuating angular momentum is responsible for extraordinary events like polar rings, tidal tails, and ripples. To study different phenomena related to galaxy interactions, various parameters like the mass ratio of the interacting galaxy, orbital parameters, mass distribution, morphologies are required. Convolutional Neural Networks (CNN) are widely used to classify image data. Thus, we used CNN as our approach to the problem. In this work, we will be using data from state-of-the-art magneto-hydrodynamic simulations of galaxy mergers from the GalMer database at different dynamical parameters using image snapshots of merging pairs of galaxies and feeding them to our Deep Learning model (ResNet). The dynamical parameters we are aiming for; would be spin, relative inclination (i), viewing angle (θ), and azimuthal angle (ϕ). We aim to download bulk data using the web scraping method. The first approach is to create different combinations of these parameters to form 60 classes. Feeding the data into the model, we achieved 93.63% accuracy. As we received good results in minute classification, we moved to our second approach, regression. Here the model can predict the continuous and exact values of the dynamical parameters. We have achieved a 99.86% R-squared value and the mean squared error of 0.0833 on testing data. In the end, we used data from Sloan Digital Sky Survey to test our trained model on some real images. Show less

India

I completed my Internship at The Spark Foundation in Data Science & Business Analytics. Here I have prepared different predictions and analyses of data.

Masters Of Science

Bachelor Of Technology - Btech

Higher Secondary

Secondary