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ayush13-0/README.md

🌟 AYUSH β€” Data Science | AI | Machine Learning | Analytics

πŸ“ Data Science Enthusiast | πŸ“Š Business Analytics | πŸ€– Machine Learning | 🧠 NLP | πŸ“ˆ Data Visualization

  • Driven and detail-oriented Data Science & Machine Learning student with hands-on experience in Python, data analytics, visualization, and end-to-end ML projects.
  • Passionate about extracting insights from data and building intelligent systems that create real-world impact.

I actively work on projects focusing on NLP, sentiment analysis, web scraping, automation, data visualization, and ML model development. Currently sharpening skills through internships, real datasets, and continuous learning.

πŸš€ About Me :-

  • πŸŽ“ BBA Student + Master's-level training in Data Science & Analytics with AI
  • πŸ€– Passionate about Machine Learning, NLP, Data Engineering, Visualization
  • πŸ§‘β€πŸ’» Experienced in Python, SQL, Power BI, Tableau
  • πŸ“Š Built 20+ real-world projects (ML, EDA, NLP, Web Scraping, APIs)
  • πŸ† Completed 20+ industry certifications from IBM, AWS, Deloitte, BCG, TATA, Siemens, Quantium
  • πŸ“‚ Currently interning as a Data Analyst, next: ML Intern + Python Developer Intern
  • πŸ”₯ Building strong GitHub portfolio with real datasets & industry-style projects

🌱 Currently improving:

  • Deep Learning
  • Advanced Machine Learning
  • Data Engineering Fundamentals

🀝 Open to internships, freelancing, collaborations and open-source work

🧰 Skills & Tools

🐍 Programming & Scripting

  • Python β€’ SQL β€’ NumPy β€’ Pandas β€’ Matplotlib β€’ Seaborn

πŸ€– Machine Learning & AI

  • Scikit-learn β€’ NLP β€’ Sentiment Analysis β€’ SVM β€’ Random Forest β€’ Logistic Regression

πŸ“Š Data Visualization

  • Power BI β€’ Tableau β€’ Matplotlib β€’ Seaborn

🧼 Data Engineering Basics

  • Web Scraping (BeautifulSoup, APIs) β€’ Automation β€’ ETL

πŸ”§ Other Tools

  • Git β€’ GitHub β€’ Jupyter Notebook β€’ VS Code

πŸŽ“ Internships

βœ… CodeAlpha β€” Data Analyst Intern (1 Month - Present)

  • Working on data analytics projects involving EDA, visualization, and reporting.

πŸ… Certifications

-Completed 15+ industry-grade certifications from: From global companies & platforms:

  • IBM β€’ Machine Learning
  • IBM β€’ Python for Data Science
  • IBM β€’ Data Analysis with Python
  • AWS Academy β€’ Cloud Fundamentals
  • Deloitte β€’ Data Analytics
  • BCG β€’ GenAI & Data Science
  • TATA β€’ Data Analytics with GenAI
  • Siemens β€’ Commercial Project Management
  • Quantium β€’ Data Analytics
  • British Airways β€’ Data Science
  • I.T. Vedant β€’ Master’s in Data Science & AI

πŸ“‚ Featured Projects

πŸ”Ή 1. AI Sentiment Analysis – ML + NLP Advanced Project

πŸ”Ή 2. TrustCheck – News Authenticity Classifier (Fake News Detection)

πŸ”Ή 3. Hybrid Data Extraction: Web Scraping + REST API

πŸ”Ή 4. Global Retail Sales EDA

πŸ”Ή 5. ML Health Insurance Claim Fraud Detection (ML)

πŸ”Ή 6. Consumer Sentiment Analysis

πŸ”Ή 7. E-Commerce Python + SQL Project


πŸ“ˆ GitHub Stats

Ayush's GitHub Stats Top Languages

AYUSH

πŸ”— Connect With Me

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  1. AI-Sentiment-Analysis-ML-NLP AI-Sentiment-Analysis-ML-NLP Public

    "AI Sentiment Analysis project using NLP and Machine Learning with TF-IDF, multiple model comparisons, hyperparameter tuning, and advanced emotion detection using RoBERTa, Huggingface

    Jupyter Notebook

  2. CodeAlpha_Consumer-Sentiment-Analysis CodeAlpha_Consumer-Sentiment-Analysis Public

    Multi-source Consumer Sentiment Analysis using NLP & Machine Learning β€” includes preprocessing, VADER/TextBlob scoring, ML model, and visualizations.

  3. CodeAlpha_Hybrid-Data-Extraction-Analytics CodeAlpha_Hybrid-Data-Extraction-Analytics Public

    "Hybrid data extraction project combining web scraping, REST API integration, and data analytics. Includes multi-source ETL pipelines, dataset merging, preprocessing, and exploratory data analysis …

    Jupyter Notebook

  4. CodeAlpha_Global-Retail-Sales-EDA CodeAlpha_Global-Retail-Sales-EDA Public

    "Global Retail Sales exploratory data analysis (EDA) project focused on uncovering revenue trends, customer patterns, product performance, and profitability insights using Python, Pandas, NumPy, an…

    Jupyter Notebook

  5. TrustCheck-News-Authenticity-Classifier TrustCheck-News-Authenticity-Classifier Public

    An offline Machine Learning + NLP system that classifies news as REAL or FAKE using TF-IDF vectorization and Logistic Regression. Includes full model training pipeline, preprocessing, Streamlit app…

    Jupyter Notebook

  6. ML-Health-Insurance-Claim-Fraud-Detection ML-Health-Insurance-Claim-Fraud-Detection Public

    "Health insurance claim fraud detection project using machine learning models such as Random Forest, Logistic Regression, and XGBoost, featuring real-time prediction, model comparison, and an inter…

    Jupyter Notebook