👋 Hello! I'm Balakrishnan Iyer
🚀 Financial Data Analyst | Data Scientist | Machine Learning Enthusiast

I am a passionate data scientist with a strong background in building data-driven solutions, predictive models, and scalable data pipelines. I thrive at the intersection of data analytics and machine learning, solving complex problems with meaningful insights.

📌 Pinned Projects Here are some of my most impactful projects:

📊 World Happiness Index Analysis
Description: Analyzing and visualizing world happiness scores to understand key factors that influence happiness across countries.
Technologies Used: Python, Pandas, Seaborn, Matplotlib, Jupyter Notebook
Repository: World-Happiness-Index

🏡 Property Price Prediction Description: A machine learning model that predicts real estate property prices based on key features like location, size, and amenities.
Technologies Used: Python, Scikit-learn, XGBoost, Pandas, Flask (for API)
Repository: Property-Prediction.

🔥 Advanced Data Pipeline for Yelp & NFT Data Analysis
Description: A scalable data pipeline to extract, transform, and load (ETL) Yelp and NFT-related data for further analysis.
Technologies Used: Apache Spark, AWS S3, Airflow, PostgreSQL
Repository: Advanced-Data-Pipeline

🛠 Skills & Technologies
✔ Programming Languages: Python, SQL, R
✔ Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
✔ Machine Learning: Scikit-learn, TensorFlow, XGBoost
✔ Big Data & Cloud: Apache Spark, AWS, Google Cloud
✔ Databases: PostgreSQL, MongoDB, MySQL
✔ Version Control: Git, GitHub

🌱 What I'm Currently Learning
Experimenting with MLOps tools like Kubeflow & MLflow
Diving deeper into Deep Learning for NLP
Exploring Graph Neural Networks (GNNs)
📫 Connect With Me
💼 LinkedIn
📧 iyerbalakrishnan98@gmail.com

💡 How You Can Support Me
If you find my projects interesting or useful, feel free to ⭐ star the repositories or fork them! Contributions and collaborations are always welcome.

Let's build, learn, and grow together! 🚀