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pranjalm27/README.md

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Hello World👋, I'm Pranjal

Welcome to my GitHub profile, where you can explore my personal projects!

  • 🔭 I’m currently on the lookout for a job/ internship in Data Analytics

  • ✍️ Graduated with M.Sc. in International Business Economics and Finance in May 2024

  • 📈 Particularly interested in Predictive Analytics, Data Visualization and applying statistical models to solve interesting business problems

  • 🌱 I’m currently learning Data Structures and Algorithms

  • 📝 Check out my blogs at medium

  • 📈 Have a look at my Visual summary on my website

Languages/Tech Stack:

azure pytorch scikit_learn seaborn tensorflow

Support me:

https://bmc.link/pranjalm27



 pranjalm27

Feel free to explore my repositories and projects!

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  1. Credit-Score-estimation Credit-Score-estimation Public

    Here I have used Machine learning libraries like sci-kit learn to solve a classification problem in the banking and financial sector.

    Jupyter Notebook 1

  2. FMCG-supply-chain-optimization FMCG-supply-chain-optimization Public

    Optimized supply chain management for an FMCG company using a Gradient Boosting model to predict shipping weight, reducing inventory losses and improving warehouse efficiency with 99% accuracy.

    Jupyter Notebook 1

  3. Data_Cleaning_HackerNewsPosts Data_Cleaning_HackerNewsPosts Public

    In this project, we're diving into a dataset of submissions made to the renowned tech website, Hacker News.

    Jupyter Notebook 1

  4. Boston-House-Price-Linear-Regression-Analysis Boston-House-Price-Linear-Regression-Analysis Public

    In this repository I have employed statistical Linear Regression Analysis Method to predict the housing prices in Boston.

    Jupyter Notebook 1

  5. Telecom-Churn-model-Prediction Telecom-Churn-model-Prediction Public

    This project focuses on predicting customer churn for a telecom company using machine learning. Churn refers to customers canceling their subscriptions or stopping business with a company, a crucia…

    Jupyter Notebook 1

  6. Retail-Return-Prediction Retail-Return-Prediction Public

    The objective of the problem is to analyze Fresco Retail's customers' transaction data and predict their return decisions based on various information like payment modes, store types, product natur…

    Jupyter Notebook 1 1