Utilize Python for data extraction, transformation, and conversion into Pandas and other readable formats.
Perform data visualization using Python libraries such as Matplotlib, Seaborn, and Bokeh to present insights clearly and effectively.
Apply Artificial Intelligence (AI) and Machine Learning (ML) techniques using scikit-learn, Keras, and other Python frameworks for predictive analytics and intelligent automation.
DATA SERVICES: PROJECTS AND EXPERIENCE
What We’ve Done....
Analyzed air pollution data across multiple cities using Pandas, identifying trends and patterns in environmental metrics.
Built predictive models to forecast total sales for each product and store for the upcoming month, utilizing NumPy, Pandas, and scikit-learn
Created visual reports and histograms for election analysis, visualizing vote distributions and party performance.