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Achievement: Pull SharkAchievement: YOLO

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Arjunlakhanpall/README.md

Hi 👋, I'm Arjun Lakhanpal

A passionate Quantitative Finance & Machine Learning Engineer.

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I’m an Electronics and Communication Engineering student at BPIT, GGSIPU Delhi, focused on bridging financial markets, AI, and real-world challenges with technological innovation. My interests lie in quantitative trading, algorithmic strategies, AI/ML, and research-driven problem solving.

I build impactful solutions using Python, TensorFlow, PyTorch, and advanced quantitative tools. I also contribute to open-source projects and share knowledge through teaching and creating courses.

💼 Experience

Software Intern — Pocket FM
Jul 2025 – Present · Bengaluru, India · Hybrid
Skills: Backend Automation, Data Engineering, CI/CD, Algorithmic Thinking

Intern — AICTE IDEA Lab AJCE
Jun 2024 – Aug 2024 · Dwarka, Delhi, India · On-site
Skills: Python Automation, Embedded Systems, IoT, Hardware Prototyping

🌟 Highlights

  • 📚 Udemy Instructor: Machine Learning in Hindi: Beginner to Master
  • 🔋 Contributor to LiSimPack (Python library for battery simulations)
  • 🐍 Proficient in Python, TensorFlow, PyTorch, OpenCV

🛠️ Skills & Tools

Programming & Scripting: Python, JavaScript, SQL, Java
Quant & ML: NumPy, Pandas, Scikit-learn, XGBoost, Matplotlib, TensorFlow, PyTorch, Transformers, NLP, LLMs
Web & Automation: Selenium, BeautifulSoup, Node.js, React
Cloud & Deployment: Docker, Google Cloud, Google Colab

📈 GitHub Stats

 

📫 Connect with Me

Portfolio
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LinkedIn
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“Learning never exhausts the mind – especially when curiosity leads.”

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  1. Iris_Flower_Classification Iris_Flower_Classification Public

    Iris Flower Classification is a classic problem in machine learning and pattern recognition, often used to demonstrate various classification techniques. The dataset associated with this problem is…

    Jupyter Notebook 2

  2. -Quant-analysis-of-Smoot-Hawley-1930- -Quant-analysis-of-Smoot-Hawley-1930- Public

    This project tests whether the **Smoot–Hawley Tariff Act** amplified the **Great Depression** through trade collapse and regime change. Using 1925–1935 U.S. data (imports, exports, GDP, industrial …

    Jupyter Notebook

  3. Image-Enhancement-and-Denoising-with-Haar-Wavelet-Decomposition Image-Enhancement-and-Denoising-with-Haar-Wavelet-Decomposition Public

    This project focuses on image fusion, enhancement, and denoising using Haar wavelet transform. The objective is to improve image quality by merging multiple images and reducing noise while preservi…

    Jupyter Notebook 2

  4. Metaverse-Gaming-Built-Freelance-Project Metaverse-Gaming-Built-Freelance-Project Public

    Metaverse gaming Built in Freelancing

    JavaScript 2

  5. SkyOffice SkyOffice Public

    Forked from kevinshen56714/SkyOffice

    Immersive virtual office built with Phaser, React, Redux, PeerJS, and Colyseus.

    TypeScript 2

  6. Mean-Variance-Optimization-in-Real-Markets Mean-Variance-Optimization-in-Real-Markets Public

    This project implements Markowitz mean–variance optimization from theory to practice.

    Python