As a Freelance Data Scientist, I deliver end-to-end projects for remote clients, including predictive models, forecasts, and business dashboards. I build and deploy models for classification, regression, and time-series forecasting, and automate data cleaning and reporting pipelines in Python and SQL.
At Dataview Analytics, I processed and standardized datasets of 100,000+ rows and used exploratory analysis and feature engineering to prepare data for predictive modeling. I also built a demand forecasting system comparing ARIMA, Prophet, XGBoost, and LSTM, then deployed the best model in a Streamlit app with Docker and MLflow.

