Data Analytics/scientist

Project Experience: Developed a Python-based inventory management app that takes inventory of sales and stock and alarms the storekeeper of any drop in quantity of any item when it gets to its minimum threshold. Used machine learning to develop a predictive model to forecast future sales and demand for products. Analyzed large datasets to identify trends and patterns, and to generate insights for business decision-making. Skills: Programming languages: Python, R, SQL Data preprocessing and wrangling: Pandas, NumPy, SciPy Data visualization: Matplotlib, Seaborn Machine learning: scikit-learn, TensorFlow, PyTorch Predictive modeling: regression, classification, time series forecasting Experience in the following data science tasks: Data collection, cleaning, and preparation Data analysis and visualization Feature engineering Model building and evaluation Model deployment and monitoring