Brain State Classification using fMRI Data
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Summary
Developed a robust machine learning pipeline to classify cognitive load and stimulus types leveraging fMRI data from the Human Connectome Project.
About
Highly analytical and results-driven professional with a dual background in Biological Sciences and Electronics & Instrumentation, specializing in computational neuroscience and advanced AI/ML applications. Proven ability to drive strategic partnerships in the biotech ecosystem and lead complex research projects, including fMRI data analysis and deep learning for artwork classification. Eager to leverage interdisciplinary expertise to advance innovation and solve complex challenges in cutting-edge scientific and technological domains.
Work
Nucleate India
|Strategy and Partnerships Lead
Remote, N/A, N/A
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Summary
Leading strategic partnership development across VC firms, industry, and academia to advance innovation in the biotech ecosystem.
Highlights
Cultivating strategic partnerships with VC firms, industry leaders, and academic institutions to foster innovation within the biotech ecosystem.
Managing the complete partnership lifecycle, from initial outreach and compelling pitches to successful deal closures.
Harmonizing diverse stakeholder objectives with overarching program goals to accelerate innovation and growth in the biotech sector.
BITS Pilani KK Birla Goa Campus
|Undergraduate Researcher
South Goa, Goa, India
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Summary
Conducting a comprehensive literature review under Prof. Veeky Baths in the Department of Biological Sciences.
Highlights
Conducted in-depth literature review under Professor Veeky Baths, contributing to ongoing research in Biological Sciences.
Neuromatch Academy
|Interactive Student
Remote, N/A, N/A
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Summary
Engaged in a 3-week international collaborative project focused on computational neuroscience, gaining hands-on experience with fMRI data and machine learning applications.
Highlights
Contributed to a 3-week international collaborative project, deepening expertise in computational neuroscience through intensive practical application.
Acquired comprehensive theoretical and practical proficiency in neuroimaging techniques and advanced data analysis methodologies.
Conducted hands-on functional connectivity analysis and brain network modeling using fMRI data, enhancing understanding of complex neural systems.
Applied advanced machine learning techniques to neuroimaging tasks, demonstrating their utility in real-world biomedical applications.
National University of Singapore
|Academic Intern
Singapore, Singapore, Singapore
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Summary
Collaborated on an AI and computer vision project, developing practical skills in big data analytics, machine learning, and deep learning.
Highlights
Executed a collaborative AI and computer vision project, applying cutting-edge techniques to solve complex challenges.
Mastered theoretical foundations in Big Data analytics, machine learning, and deep learning through rigorous coursework delivered by NUS faculty.
Developed robust practical skills in data wrangling, advanced data visualization, and hands-on implementation of ML/DL techniques.
Education
Bits Pilani KK Birla Goa Campus
South Goa, Goa, India
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M.Sc. and B.E.
Biological Sciences and Electronics and Instrumentation
Campion School, Bhopal
Bhopal, Madhya Pradesh, India
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Class 12th
CBSE
Campion School, Bhopal
Bhopal, Madhya Pradesh, India
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Class 10th
CBSE
Awards
3rd Rank in State Level Senior Science Olympiad
Awarded By
Madhya Pradesh Council of Science and Technology
Achieved 3rd Rank in the State of Madhya Pradesh in the State Level Senior Science Olympiad, demonstrating exceptional scientific aptitude and knowledge.
Languages
English
Skills
Programming Languages
Python, C, C++.
Machine Learning Frameworks
PyTorch, TensorFlow, Keras, scikit-learn.
Developer Tools
Jupyter Notebook, Git, GitHub, VS Code.
Data Science Libraries
NumPy, SciPy, Pandas, OpenCV, Matplotlib.
Computational Neuroscience
fMRI Data Analysis, Brain Network Modeling, Neuroimaging Workflows.
Artificial Intelligence
Deep Learning, Computer Vision, AI-driven Systems, Model Training, Evaluation.
Data Management
Big Data Analytics, Data Wrangling, Data Visualization.
Research & Analysis
Literature Review, Systematic Reviews, Meta-analysis, RCTs, Research Gap Identification.
Project Management
Team Leadership, Project Execution, Remote Collaboration.
Strategic Partnerships
VC Firms, Industry Collaboration, Academic Partnerships, Partnership Lifecycle Management, Stakeholder Alignment.
Projects
AI-Powered Historic Artwork Classification & Forgery Detection
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Summary
Led a team in developing an AI-driven system for historic artwork classification and forgery detection using deep learning and computer vision under the guidance of faculty at School of Computing, National University Of Singapore.
Technological Interventions in ADHD - Literature Review
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Summary
Conducted a comprehensive literature review on technology-based ADHD interventions including VR, wearables, and Brain-Computer Interface games.