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msjahid/README.md

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As an experienced software engineer with a passion for developing cutting-edge technology solutions, I have a strong background in predictive analytics, including machine learning, sentiment analysis, statistical modeling, and data mining techniques, to develop marketing strategies using Python, SQL, Excel, Tableau and various popular libraries such as Numpy, Pandas, Matplotlib, Seaborn, and Scikit Learn etc. I have extensive experience working with natural language processing, large-scale datasets, big data techniques, predictive model building, and machine learning web API implementation.

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⚒ ѕкιℓℓѕ ⚒


C CPP Java Python JavaScript R MariaDB MySQL SQLite PostgreSQL MongoDB Numpy Pandas SciPy Matplotlib Plotly Seaborn Scikit Learn Streamlit OpenCV Tensorflow Keras Pytorch PowerBi Tableau Django Flask Fastapi Nodejs json DRF Express.js HTML5 CSS3 Bootstrap Figma Gimp Libreofiice Jupyter Latex Docker Kali_Linux Git Neovim Heroku Netlify Scrapy GNU Markdown JWT Statistics Big Data Linear Algebra


⚡ ƈʊʀʀєηт ѕтαтѕ ⚡




📍 ριηηєɖ ʀєρo̷ѕιтo̷ʀιєѕ 📍








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  1. rosepine-theme rosepine-theme Public

    A custom ggplot2 theme inspired by the Rosé Pine aesthetic

    R

  2. University-Students-Information University-Students-Information Public

    Simple Flask Crud Application with SQLAlchemy.

    Python 2

  3. language-prediction-app language-prediction-app Public

    A Flask-based web application for detecting the language of input text using machine learning models.

    Jupyter Notebook

  4. loan-approval-analysis loan-approval-analysis Public

    LoanEase Prediction: A web app for predicting loan approvals based on user input.

    Jupyter Notebook