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6 followers · 2 following
  • Delhi,India

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Achievement: QuickdrawAchievement: Pull Shark

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eshan-292/README.md

👋 Hello, I’m Eshan!

Welcome to my GitHub!

🌟 About Me

A passionate quantitative professional, tech enthusiast, and lifelong learner from IIT Delhi (final year, Computer Science). I’m on a mission to combine cutting-edge technology, creativity, and quantitative finance to leave a meaningful mark in the world.

• 🎓 Education: Final-year Computer Science student (Bachelor + Masters Dual Degree) at IIT Delhi.

• 💼 Skillset: Python, C++, Machine Learning, Deep Learning, and Quant Finance.

• 🎸 Hobbies: Playing the guitar, singing, working out, and cracking a joke or two along the way!

💼 Professional Snapshot

🔍 Quantitative Professional

  • Proficient in probability and statistics, algorithmic development, AI-ML.
  • Worked on impactful projects involving time-series analysis, high-frequency trading, and financial markets.

💻 AI Enthusiast

  • Built innovative solutions for computer vision, graph neural networks, game-playing agents, and data compression.
  • Expertise in Deep Learning research, Neural Networks, and cutting-edge Machine Learning techniques.

🔧 Tech Stack

Python C++ PyTorch TensorFlow Git

🌍 Let's Connect

I’d love to hear from you! Feel free to reach out if you’d like to collaborate or just chat about tech, finance, music, or anything in general.

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✨ Fun Fact

When I’m not coding or analyzing data, I’m probably strumming my guitar, singing a soulful melody, or pushing my limits at the gym. 🎵🏋️‍♂️

🌟 “Work hard in silence, let your success make the noise.”

Thanks for stopping by! 🙌

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  1. PEFT-of-Foundation-Models-for-Image-Classification PEFT-of-Foundation-Models-for-Image-Classification Public

    Parameter Efficient Fine-Tuning (PEFT) is a technique that allows large, pre- trained models, often referred to as foundation models, to be adapted to specific tasks with minimal modification to th…

    Python

  2. DETR-Model-for-Object-Detection-from-Scratch DETR-Model-for-Object-Detection-from-Scratch Public

    The goal of this project is to deepen the understanding of modern object detection techniques by implementing the DETR (DEtection TRansformer) model from scratch. We will use a custom dataset to de…

    Python

  3. Breast_Cancer_Screening Breast_Cancer_Screening Public

    Building SOTA CNN and Transformer Based methods (like FasterRCNN, Yolo, DETR) for breast cancer detection

    Python

  4. Hand-Pose-Recognition Hand-Pose-Recognition Public

    Controlling real world applications though hand pose recognition using HoG Descriptor

    Python

  5. decision-tree-random-forest-image-classification decision-tree-random-forest-image-classification Public

    Implementation of Decision Trees and Random Forest for binary and multiclass image classification. The project includes building decision trees from scratch, hyperparameter tuning, post-pruning, ra…

    Python

  6. svm-binary-multiclass-classification svm-binary-multiclass-classification Public

    Implementation of Support Vector Machines (SVM) for binary and multiclass classification using dual formulation. Features include linear, polynomial, RBF, sigmoid, and Laplacian kernels, hyperparam…

    Python