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s14hika/README.md

Hi there 👋 I'm Sadhika

Final-year B.Tech CSE (AI/ML) @ LBRCE | Data Science & NLP Enthusiast | GATE DA 2026 | Open to 2026 FT & 2025 Internships

🎯 About Me

I'm passionate about solving real-world problems using Machine Learning and Data Science. Currently:

  • 🏗️ Building end-to-end ML projects (recommendation systems, computer vision, NLP)
  • 📚 Preparing for GATE 2026 (Data Analytics specialization)
  • 🎥 Creating AI/ML content on YouTube
  • 💼 Looking for FT & Internship roles in Data Science / ML Engineering

🔧 Tech Stack

Languages: Python, SQL
ML/DL Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost
Data Tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly
Specializations: NLP, Computer Vision, Recommender Systems, Time Series Analysis, EDA

📌 Featured Projects

Project Description Tech Stack
Movie Recommendation System Collaborative filtering with cosine similarity; 50 movies, 10K synthetic ratings Python, Scikit-learn
Plant Disease Detection CNN-based image classification; 95%+ accuracy on crop disease detection TensorFlow, Keras
Sentiment Analysis NLP sentiment classification; social media data analysis & visualization NLTK, TextBlob
Employee Burnout Prediction Classification model; behavioral & demographic feature engineering Scikit-learn, Pandas
Traffic Accident Analysis EDA with hotspot identification & contributing factor visualization Pandas, Matplotlib
House Price Prediction Regression model with feature engineering & hyperparameter tuning Scikit-learn, XGBoost

📊 Key Achievements

  • ✅ 20+ end-to-end ML projects across diverse domains
  • ✅ Internship training in Data Science (PRODIGY AI) with real-world datasets
  • ✅ Active in hackathons (Kaggle, on-campus competitions)
  • ✅ Building YouTube channel for AI/ML technical content
  • ✅ Strong foundation in GATE exam preparation (Data Analytics track)

🌐 Connect With Me

📈 GitHub Stats

Sadhika's GitHub stats
Top Langs

💭 Fun Fact

"The best way to predict the future is to invent it." – Alan Kay

Open to opportunities in Data Science, ML Engineering, NLP, and Computer Vision starting 2026! 🚀

Pinned Loading

  1. EMPLOYEE-BURNOUT-PREDICTION EMPLOYEE-BURNOUT-PREDICTION Public

    Jupyter Notebook

  2. house_price_predictor house_price_predictor Public

    HTML

  3. Movie-Recommendation-System Movie-Recommendation-System Public

    The Movie Recommendation System generates synthetic datasets with 50 popular movie titles and 10,000 user ratings (1-5). It uses collaborative filtering and cosine similarity to recommend movies ba…

    HTML

  4. PlantDiseaseDetection PlantDiseaseDetection Public

    Jupyter Notebook

  5. PRODIGY_DS_04 PRODIGY_DS_04 Public

    Analyze and visualize sentiment patterns in social media data to understand public opinion and attitudes towards specific topics or brands.

    Jupyter Notebook

  6. PRODIGY_DS_05 PRODIGY_DS_05 Public

    Analyze traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualize accident hotspots and contributing factors.

    Jupyter Notebook