Transforming complex data into actionable insights through advanced analytics and machine learning.
Selected data science projects demonstrating my technical capabilities
Built a machine learning model to predict House Prices with 85% accuracy using Python and Scikit-learn.
Interactive chatbot providing insights into Amex customer data using Langchain and RAG SQL.
Developed a Streamlit App for Bank Loan Approval prediction using Machine Learning with 78% classification accuracy.
Built a sentiment analysis web app using DistilBERT (via Hugging Face Transformers) to classify patient drug reviews as positive or negative. Deployed with Streamlit for an interactive interface
My expertise across the data science workflow
My journey in data science
"In a world of noise, I let data tell the real story"
I'm a passionate data scientist with a Bachelor's degree in Computer Science and Engineering from DBATU University, specializing in machine learning and artificial intelligence.
With 6+ months of experience in the field, I've worked on diverse projects ranging from predictive analytics to natural language processing. My approach combines rigorous statistical methods with cutting-edge machine learning techniques to deliver actionable insights.
When I'm not analyzing data, you can find me contributing to open-source projects, participating in Kaggle competitions, or mentoring aspiring data scientists.
Feel free to reach out for collaborations or opportunities