🌍 Data fuels the future — I build the models that make it intelligent.
🚀 Data Scientist | Machine Learning & AI Enthusiast | Data Analyst
🎯 Passionate about transforming data into intelligence and building scalable, impactful AI systems.
I’m a data scientist passionate about transforming data into business-driven intelligence.
I love bridging analytics and AI to create scalable, human-centered solutions.
- 📊 Skilled in Data Analytics, Machine Learning, Deep Learning, and Generative AI
- 🎓 Certified Data Scientist with a Master’s in Commerce (Statistics & Mathematics)
- ✍️ Writing Data Science blogs on Medium → @shwetabhoyar04
- 🌱 Currently exploring LangChain, LLMs, NLP, and MLOps
- 🎥 Running a creative YouTube channel — Brains & Bytes
🏅 LeetCode Progress
⚡ Current Statistics
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Data Science Intern – NullClass | 2024–2025
Developed CNN-based age and emotion detection models achieving 75%+ accuracy.
Enhanced attendance automation system using face recognition and emotion tracking. -
Data Science Intern – Cognifyz Technologies | 2024
Conducted EDA and applied predictive modeling on restaurant and customer data.
Improved insight generation time by 30% through streamlined Python pipelines. -
Data Analyst Intern – Evoastra Ventures | 2024
Automated dashboard reporting with Python & Power BI, improving decision time by 25%.
Analyzed large SQL datasets to identify performance patterns in car data.
Languages: Python, SQL
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, PyTorch, OpenCV
Data Tools: Power BI, Excel, MySQL, PostgreSQL
Cloud & Deployment: AWS, Heroku, Streamlit, Flask
Concepts: NLP, Deep Learning, Reinforcement Learning, Generative AI
Version Control: Git, GitHub
| 🚀 Project | 💬 Description | 🧩 Tech Stack | 🔗 Link |
|---|---|---|---|
| 🎭 Emotion Detection (FER-2013) | Built CNN model from scratch to classify human emotions with Grad-CAM visualizations | TensorFlow, Keras, OpenCV | 🔗 View Project |
| 🧓 Age Detection (UTKFace) | Designed CNN to predict human age using facial datasets with 75%+ accuracy | Python, TensorFlow | 🔗 Repository |
| 🧠 Smart Attendance System | Real-time attendance + emotion detection web app using face recognition | Python, OpenCV, Flask | 🔗 Project |
| 🛍 E-Commerce Recommendation System | Reinforcement-based personalized recommendation system for e-commerce | Python, RL, Flask | 🔗 Repository |
| 💬 Sentiment Analysis (iNeuron) | Trained NLP model to classify and analyze sentiments of reviews | Python, NLTK, SpaCy | 🔗 Repository |
| 🚗 Car Data Analysis (Evoastra Ventures) | Analyzed car performance data and built dashboards | Power BI, SQL, Python | 🔗 Project |
- Oracle Generative AI – Oracle
- SQL (Basic) – HackerRank
- Programming – TestDome
- Credly Badge
- Great Learning – Data Science Foundations
- Great Learning – Statistical Methods for Decision Making
- 📈 Improved ML model accuracy by 30–40% across key projects
- 💡 Developed 6+ end-to-end AI & analytics systems from scratch
- ✍️ Published 3+ educational articles on Data Science and AI
- 🧠 Skilled in Deep Learning, NLP, and Reinforcement Learning
✨ Let’s collaborate on data-driven, creative, and AI-powered projects!
📩 Reach out if you’d like to build something exciting together.