
Arindam Ghosh
Research Project

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About me
Computer Vision Researcher | Medical Imaging | Geospatial Data | #T-Tec 2023 Winner | SIH 2022 Winner | NASA SpaceApps 2022 Global Finalist
Education

UM-DAE CEBS
2015 - 2020Integrated Master of Science (B. Sc. & M. Sc.) MathematicsActivities and Societies: Founding member of CBS e-Game Club. Organized Jigyasa, an inter-college science quiz competition, and an intra-college sports competition. Active volunteer at the School of AI-Mumbai. DST-INSPIRE scholarship awardee through NEST exam qualification.

Doon Public School
2014 - 2015Senior Secondary (Class - XII) Science
Amity University
2020 - 2022Master of Technology - MTech Computer Science & Engineering 9.43 /10.00Activities and Societies: I actively participated in the Amity Artificial Intelligence Club and held membership as an IEEE Graduate Student. Additionally, I have participated in several hackathons, including the Smart India Hackathon 2022 and the Quantum Hackathon organized by QETCI. Silver Medalist at Amity University, India, for outstanding academic performance and securing the second-highest position in the class.

Universitat Pompeu Fabra - Barcelona
2022 - 2023MMRES Major project in using ML for pCT scannersActivities and Societies: Organized the BIST-MMRES Scihack 2023 hackathon for high school students in Catalonia, Spain, aiming to promote scientific thinking and problem-solving skills. I led the event's conceptualization, identified problem statements, and took full responsibility for managing its technical aspects. This involved setting up the technology infrastructure, ensuring the seamless operation of online platforms, and providing continuous technical support to participants during the hackathon.

Delhi Public School - India
2012 - 2013
Experience

Indian Institute of Technology, Bombay
May 2017 - Jun 2017Research ProjectI worked under the supervision of Prof. Sachin Patkar at the High Performance Computing Lab on Boolean matrix-vector multiplication (BMV) using Wiedemann method in CUDA

Institute Of Chemical Technology
Jan 2019 - Apr 2019Research ProjectI worked under the supervision of Prof. Ajit Kumar on the topic 'Generative Adversarial Networks (GAN) to Denoise images' and in the process gained experience in deep learning applications.

Indian Statistical Institute, Kolkata
Jun 2019 - Nov 2019Research InternshipI worked under the supervision of Prof. Pradipta Maji at the Machine Intelligence Unit on the topic 'Comparative study of HEp-2 Cells classification using dictionary learning' using Python and C.

Cognizant
Jan 2022 - Aug 2022Data Engineer
IFAE
Oct 2022 - Sept 2023Research ProjectI was involved in developing an algorithm that utilizes image processing and machine learning techniques to reconstruct the energy of protons by analyzing their trajectories through a range detector, thus optimizing Proton Tracking and Energy Determination for Improved Proton CT (pCT) Imaging.

Port d'Informació Científica
May 2023 - Jul 2023ResearcherI was part of a collaborative research project between VHIR, ICFO, and PIC, which focuses on exploring the effects of photoreceptor restoration therapies. Specifically, my work involved an exploratory analysis of potential spike detection techniques for light sheet microscopy images of organoids. Finding such techniques would enable a more detailed 3D analysis of retina activity, contributing to the understanding of the impact of photoreceptor restoration therapies.

Claim Zippy
Sept 2023 - Nov 2023Machine Learning and AI consultantEnhancing ClaimZippy’s AI Intelligent character recognition model to automatically extract handwritten and printed data from claim documents, enabling efficient processing. Identifying and advising on opportunities to integrate emerging innovations; improving automation, accuracy, and workflow of the AI claims review system. Consulting executives to incorporate the latest artificial intelligence into products that serve policyholders and carriers.

Acquora
Dec 2023 - nowAI Research ScientistCurrently working on leveraging GeoSpatial data and tailor-made AI models to analyze real-time satellite images for the mining industry. My focus is on segmenting extraction surfaces and subsoils, modeling the complete water dynamics cycle, and enabling data-driven decision-making for sustainable lithium extraction. This approach minimizes water usage and drives greater efficiency. These techniques hold significant potential for optimizing water management in agriculture as well.
Licenses & Certifications
- View certificate

Problem Solving (Basic)
HackerRank - View certificate

CS50x
Harvard UniversityJan 2022 - View certificate

Introduction to Python
DataCampMay 2018 - View certificate

Machine Learning by Andrew Ng
CourseraAug 2021 - View certificate

Neural Networks and Deep Learning (Part of Deep Learning Specialization)
DeepLearning.AIOct 2021 - View certificate

SQL (Basic)
HackerRank 
Certificattion of Completion Data Engineering with Databricks
DatabricksJun 2022- View certificate

Python
HackerRank
Honors & Awards
- Awarded to Arindam Ghosh#T-Tec 2023 Winner Telespazio Feb 2024
- Awarded to Arindam GhoshFinalist - lablab.ai Build Your AI Startup Hackathon (Episode 2) lablab.ai Apr 2023 Selected as a finalist for developing PrepQuest, an AI-powered interview preparation platform leveraging OpenAI's technologies.
- Awarded to Arindam GhoshNASA SpaceApps Challange 2022 Global Finalist NasaSpaceApps Challenge 2023 Nov 2022 I am proud to have led my team to become global finalists in a competition with a track focused on open science. We were one of the top 30 teams selected from around the world for our project, which aimed to develop an open metric as an alternative to traditionally used metrics.Our achievement also gave me the opportunity to present our work and serve as a panelist at the NASA Transform to Open Science (TOPS) April Forum, where we engaged with experts in the field and shared our team's… Show more I am proud to have led my team to become global finalists in a competition with a track focused on open science. We were one of the top 30 teams selected from around the world for our project, which aimed to develop an open metric as an alternative to traditionally used metrics.Our achievement also gave me the opportunity to present our work and serve as a panelist at the NASA Transform to Open Science (TOPS) April Forum, where we engaged with experts in the field and shared our team's insights and achievements.Contributing to the advancement of open science and being recognized for our efforts is a privilege, and I am honored to have been part of such a prestigious competition. Show less
- Awarded to Arindam GhoshSilver medalist Amity University Nov 2022
- Awarded to Arindam GhoshSmart India hackathon 2022 Winner - Aug 2022 Our Team Cyclone Vision was the Winner of ISRO's special Problem Statement SS591. The problem statement was Using half hourly INSAT-3D/3DR IR images from mosdac, we needed to curate our own dataset to train a deep learning model to estimate tropical cyclone intensity estimation and to localize the cyclone. Further, we had to develop a web application for visualization of the imagery including relevant location and speed estimation data together with historical data visualization.
- Awarded to Arindam GhoshDST-INSPIRE fellowship Department of Science and Technology, Gov of India 2015
Languages
- enEnglish
- beBengali
- hiHindi
- spSpanish
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