📍 Data Science Enthusiast | 📊 Business Analytics | 🤖 Machine Learning | 🧠 NLP | 📈 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.

• 🎓 BBA Student + Master's-level training in Data Science & Analytics with AI
• 🤖 Passionate about Machine Learning, NLP, Data Engineering, Visualization
• 🧑‍💻 Experienced in Python, SQL, Power BI, Tableau
• 📊 Built 20+ real-world projects (ML, EDA, NLP, Web Scraping, APIs)
• 🏆 Completed 20+ industry certifications from IBM, AWS, Deloitte, BCG, TATA, Siemens, Quantium
• 📂 Currently interning as a Data Analyst, next: ML Intern + Python Developer Intern
• 🔥 Building strong GitHub portfolio with real datasets & industry-style projects

• Deep Learning
• Advanced Machine Learning
• Data Engineering Fundamentals

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

🐍 Programming & Scripting

• Python • SQL • NumPy • Pandas • Matplotlib • Seaborn

🤖 Machine Learning & AI

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

📊 Data Visualization

• Power BI • Tableau • Matplotlib • Seaborn

🧼 Data Engineering Basics

• Web Scraping (BeautifulSoup, APIs) • Automation • ETL

🔧 Other Tools

• Git • GitHub • Jupyter Notebook • VS Code

1. CodeAlpha — Data Analyst Intern (1 Month - Completed) NOV-DEC 2025 ✅

• 🎖️Completion Certificate
• 📜Letter Of Recommendation

Hands-on experience in end-to-end ML workflows:

• EDA, visualization, trend analysis, and automated reporting using Python-based workflows.
• Strengthened skills in data preprocessing, exploratory insights, data cleaning, statistical analysis, and dashboard-level storytelling.

2. CodSoft — Machine Learning Intern (1 Month) DEC 2025 – JAN 2026

• 🎖️Completion Certificate (DUE)
• 📜Letter Of Recommendation (DUE)

Hands-on experience in end-to-end ML workflows:

• Preprocessing, feature engineering, and exploratory analysis.
• Built and optimized models using Naive Bayes, Logistic Regression, SVM; evaluated with accuracy and F1-score.
• Applied ML to real-world datasets for prediction, classification, and anomaly detection in Python.

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

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

🔹 1. AI Sentiment Analysis – ML + NLP Advanced Project

• Advanced NLP pipeline with TF-IDF, SVM tuning, and ML model comparison.
• 📌 NLP | ML | Python | Text Processing
• ➡ Repo: (https://github.com/ayush13-0/AI-Sentiment-Analysis-ML-NLP)

🔹 2. TrustCheck – News Authenticity Classifier (Fake News Detection)

• Offline ML/NLP system to classify news as REAL or FAKE using TF-IDF + Logistic Regression.
• Includes full training pipeline, preprocessing, evaluation, and a Streamlit web app.
• 📌 ML | NLP | Text Classification | Streamlit
• ➡ Repo: https://github.com/ayush13-0/TrustCheck-News-Authenticity-Classifier

🔹 3. Hybrid Data Extraction: Web Scraping + REST API

• Combined scraping from BooksToScrape with OpenFoodFacts API → analytics & visualization.
• 📌 ETL | API | Web Scraping | Data Analysis
• ➡ Repo: (https://github.com/ayush13-0/CodeAlpha_Hybrid-Data-Extraction-Analytics)

🔹 4. Global Retail Sales EDA

• Data-driven insights into sales, trends, customer behavior & profitability.
• 📌 EDA | Visualization | Business Analytics
• ➡ Repo: (https://github.com/ayush13-0/CodeAlpha_Global-Retail-Sales-EDA)

🔹 5. ML Health Insurance Claim Fraud Detection (ML)

• Logistic Regression, Random Forest, XGBoost → ML pipeline for fraud prediction.
• 📌 ML | Fraud Analytics | Feature Engineering
• ➡ Repo: (https://github.com/ayush13-0/ML-Health-Insurance-Claim-Fraud-Detection)

🔹 6. Consumer Sentiment Analysis

• NLP analysis using VADER, TextBlob & ML classification models.
• 📌 NLP | Text Analytics | ML
• ➡ Repo: (https://github.com/ayush13-0/CodeAlpha_Consumer-Sentiment-Analysis)

🔹 7. E-Commerce Python + SQL Project

• Database queries + Python analysis → customers, orders, products & revenue.
• 📌 SQL | Python | Data Engineering
• ➡ Repo: (https://github.com/ayush13-0/Ecommerce-Python-SQL-Project)

🔗 Connect With Me

• 📧 Email: [email protected]
• ℹ️LinkedIn: https://linkedin.com/in/ayush130
• 🌐GitHub: https://github.com/ayush13-0