Welcome to my GitHub profile! I'm a data science enthusiast passionate about turning data into meaningful insights. I enjoy solving real-world problems using statistics, machine learning, and clean code.
- Languages: Python, SQL, R
 - ML & DS Tools: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLTK, Statsmodels
 - ML Techniques: Regression, Classification, Clustering, Causal Inference, NLP
 - Web & Deployment: Streamlit, Flask, Pickle, Git/GitHub
 - Other Tools: Jupyter, VS Code, Google Colab, Excel, Tableau
 
Causal inference using OLS regression to estimate impact of skilled management interventions.
Email spam classifier using Multinomial Naive Bayes, deployed with Streamlit.
Content-based movie recommendation engine using NLTK lemmatization and cosine similarity.
Unsupervised learning on Mauna Loa gas data using PCA and K-Means clustering.
- Deep Learning with PyTorch
 - Time Series Forecasting
 - Docker for ML model deployment
 
Thanks for stopping by! ๐