Proven expertise in Python and Machine Learning, demonstrated through developing a Heart Disease Prediction model with 87% accuracy at Sri Shasha Prayathi Technologies. Excel in data visualization and possess strong analytical skills, ensuring impactful insights and enhanced user experiences in web development projects. Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.
Analyzing The Big Mart Sales Trends and Predictive Models using ML, 01/01/24, 05/31/24, Forecasting the sales of Different Products Whether they are increasing or decreasing in future using Machine Learning Regression Techniques. Led the Implementation and comparison of various regression techniques, created Visualizations with Matplotlib and Seaborn effectively Communicate data insights and model results. Evaluated model Performance using metrics like Root Mean Squared Error(RMSE), and MAE. Amazon Sales Analysis Dashboard Using Power BI, 02/01/24, 03/31/24, Developed an Interactive Dashboard to analyze Amazon Sales data using Power BI. Providing insights into sales trends, product performance and customer Behaviour. Created Dynamic Visualizations and reports to highlight key performance metrics and trends.