Pneumonia Detection using CNN
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Summary
Built a pneumonia detection pipeline using CNN features and classical ML classifiers on chest X-ray images, as a course project guided by Prof. Amit Sethi.
Highly motivated and results-oriented B.Tech. student in Metallurgical Engineering and Materials Science at IIT Bombay, with a strong specialization in Machine Learning and Deep Learning. Proven ability to design, develop, and optimize advanced AI models for diverse applications, including financial trading, medical image analysis, and natural language processing. Adept at leveraging large datasets, cloud platforms, and various ML/DL frameworks to drive impactful solutions. Eager to contribute technical expertise and innovative problem-solving skills to challenging roles in AI and data science.
Machine Learning Intern
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Summary
Developed an automated system for seamless attendance tracking and recording using Convolutional Neural Networks.
Highlights
Computed facial encodings for over 250 face records using FaceNet models, enabling accurate identity comparison.
Achieved an 87% F1 score through rigorous testing of facial encodings, demonstrating high model effectiveness.
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Summary
Built a pneumonia detection pipeline using CNN features and classical ML classifiers on chest X-ray images, as a course project guided by Prof. Amit Sethi.
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Summary
A self-initiated project focused on analyzing stock sentiment from real-time Twitter data.
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Summary
Implemented image segmentation on Hyperspectral Remote Sensing images, as a course project guided by Prof. B.K. Mohan.
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Summary
Developed a large-scale deep-learning trading agent under the guidance of Debdoot Mukherjee, AI Head at Meesho.
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Summary
A self-initiated project focused on natural language processing for disaster-related tweets.
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Summary
Developed a Deep Q-Learning trading agent as part of Finsearch, Finance Club, IIT Bombay.
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Summary
Developed a deep learning model to analyze chess positions and predict the most favorable chess state, as part of Season Of Code (SoC) with Web and Coding Club, IIT Bombay.
Python, SQL.
TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Random Forest, CNN, SVM, ANN, Siamese Networks, Autoencoders.
Pandas, NumPy, PySpark, BigQuery, TA-Lib, Feature Engineering, Dimensionality Reduction (PCA).
Google Cloud Platform (GCP), Google Cloud Storage (GCS).
Git.
MATLAB, Octave.
Tokenization, Stemming, TF-IDF.
Deep Q-Learning, Replay Memory, Epsilon-Greedy Strategy.
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Bachelor of Technology (B.Tech.)
Metallurgical Engineering and Materials Science
Grade: 8.17 CPI
Courses
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Reinforcement Learning
Data Structures and Algorithms
Probability and Statistics
Linear Algebra
Calculus
Awarded By
Hostel 6, IIT Bombay
Represented Hostel 6 and successfully completed a 6km long marathon in the Crossy GC competition.
Awarded By
IIT Bombay
Successfully achieved a change of academic branch to Metallurgical Engineering and Material Science Department, reflecting strong academic standing.
Awarded By
Spardha (IITB Sports Fest)
Represented IIT Bombay in Spardha 2022, securing 3rd place in the Kabaddi tournament against over 20 competing teams.
Awarded By
Joint Entrance Examination (JEE)
Achieved exceptional performance with 98.98 and 96.43 percentile in JEE Mains & Advanced, ranking among 0.15 to 0.9 million candidates.
Volunteer
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Summary
Participated in a large-scale community cleanup initiative.
Highlights
Cleared over 2 tonnes of garbage alongside 300+ volunteers, contributing to environmental sustainability.
Volunteer
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Summary
Contributed to a critical blood donation campaign.
Highlights
Successfully facilitated the procurement of over 1,500 units of blood, supporting community health initiatives.
Volunteer
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Summary
Actively engaged in various social welfare activities as part of the National Service Scheme.
Highlights
Devoted over 80 hours to impactful volunteering work, demonstrating commitment to social responsibility.