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kameshcodes/README.md

Kamesh Dubey

🚀 About Me

Hi, I’m Kamesh Dubey, an Associate Consultant at KPMG and a postgraduate in Applied Statistics and Informatics from IIT Bombay. I work at the intersection of data science and risk, with a strong interest in quantitative modelling — particularly in credit and market risk.

🧠 Currently, I’m focused on strengthening my skills in Generative AI and Quantitative Finance


Projects Projects

Sentiment Analysis on IMDb Reviews

  End-to-End Review Sentiment Analysis Project

 Multivariate Analysis Biplot

    Multivariate Analysis Course Project

🛠 Skills

Data Science Exploratory Data Analysis, Machine Learning, Deep Learning and Time Series Analysis

Data Wrangling and Visualisation Libraries: Pandas, NumPy, Matplotlib, Plotly etc.

Core Subjects: Applied Statistics and Mathematics

Tech Stack Tech Stack

Programming Languages: Python, R, SQL

Data Mining and Deep Learning Frameworks: Scikit-learn, PyTorch, XGBoost, Statmodels, etc.

Software and Tools: AWS, Docker, Git, VS Code, and a few more

🔗 Connect with Me

linkedin portfolio

If you have any inquiries or opportunities. Please feel free to contact me via email at kamesh.iitbombay@gmail.com

Popular repositories Loading

  1. kameshcodes kameshcodes Public

    Config files for my GitHub profile.

    1

  2. SI-505-Multivariate-Analysis-Course-Project SI-505-Multivariate-Analysis-Course-Project Public

    Jupyter Notebook 1

  3. SI503-Categorical-Data-Analysis SI503-Categorical-Data-Analysis Public

    1

  4. Data-Structures-and-Algorithms Data-Structures-and-Algorithms Public

    Data Structures and Algorithms

    Python

  5. daily-learning daily-learning Public

    This repository contains a collection of script files and notebooks documenting my daily learning progress. I regularly update and push new content as I explore various concepts and deepen my under…

    Jupyter Notebook

  6. chroma-detector chroma-detector Public

    This web-application is designed to identify the top 5 dominant colors in an image using the KMeans algorithm implemented with scikit-learn in Python.

    Jupyter Notebook