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AbhishekKumar-0311/README.md

Chrome Dino

Hi Folks ! Welcome to my Github

My name is Abhishek Kumar and I'm a Data Engineer / BIE with a enthu for Machine Learning. I'm from Bangalore, India and currently working at Amazon. Find more about me on LinkedIn or Twitter

  • πŸ‘― I’m looking to collaborate on Data Engineering, Analytics, NLP, Data Science and Kaggle competitions.
  • πŸ€” I’m looking for help to start with end-to-end projects in Cloud based data solutions.
  • 🌱 I've pursued Post-Graduation in Machine Learning and Artificial Intelligence.
  • πŸ‘¨ Know more about me at Dive-In.

πŸ“š Ongoing Tasks

  • ML - Will start soon

    This project tries to implement time-series forecasting.

  • ML - Micro Projects

    This repository contains the Micro Projects & Tasks in DS, ML, NLP, NeuralNet & RL completed/ongoing during academic & self-learning period. [WiP...]

  • ML - Machine Learning with Python

    This repo consists of Learning & Practice with tutorial-style notebooks covering different machine learning techniques & its related concepts. [WiP...]

πŸ“š Completed Projects

  • ML - Telecom Churn Prediction

    This project tries to identify customers at high risk of churn and identify the main indicators of churn through different techniques.

  • ML - House Price Prediction

    This project predicts the house price using advanced regression techniques like Ridge & Lasso.

  • ML - Shared Bike Demand Prediction

    This project tries to predict shared bike demand after the COVID-19 quarantine situation ends using multiple linear regression model.

  • EDA - Lending Club Credit Default Analysis

    The Credit Defaulters Analysis is performed on customer data of LendingClub to understand the driver features behind loan default. These important features would be used to minimize the risks from the possible bad loans.

  • EDA - Investment Analysis

    In this project I have performed an extensive Exploratory Data Analysis (EDA) to find the best investment funds, top english speaking countries to invest in the top 3 sectors on behalf of the Spark Funds, an asset management company.

πŸ”§ Technologies & Tools

Excel MySQL Python Power BI Tableau R Programming pandas seaborn seaborn seaborn scikit_learn AWS AWS AWS AWS Photoshop C++

πŸ”§ Technologies & Tools

πŸ“ˆ GitHub Stats

Abhishek's GitHub Stats

βœ‰ Contact

LinkedIn Check out my LinkedIn profile for more information on my career.

Feel free to contact me by email: abhi03.11sharma@gmail.com.fr.

Pinned Loading

  1. ML-BikeSharing-Demand-Prediction ML-BikeSharing-Demand-Prediction Public

    This project tries to predict shared bike demand after the ongoing quarantine situation ends using multiple linear regression model.

    Jupyter Notebook 1

  2. EDA-LendingClub-Credit-Default-Analysis EDA-LendingClub-Credit-Default-Analysis Public

    The Credit Default Analysis is performed on customer data of LendingClub to understand the driver features behind loan default.

    Jupyter Notebook 1

  3. EDA-Investment-Analysis EDA-Investment-Analysis Public

    The Exploratory Data Analysis is performed to understand the Global Investment Trends for Spark Funds.

    Jupyter Notebook 1

  4. Machine-Learning-with-Python Machine-Learning-with-Python Public

    Learning & Practice with tutorial-style notebooks covering different machine learning techniques

    Jupyter Notebook 5