Dedicated Data Analyst with hands-on experience in analyzing business performance metrics and customer trends across industries such as retail and e-commerce. Specializing in predictive modeling, trend analysis, and decision support, leveraging tools like Tableau, Excel, SQL, and Python. Skilled in transforming complex datasets into actionable insights to optimize marketing strategies, and improve customer engagement. Adept at collaborating with cross-functional teams to drive innovation and deliver data-driven solutions that align with business goals, ultimately contributing to measurable growth and operational efficiency.
Product Detection Using Machine Learning, Engineering Project, Cleaned and processed product sales data using Excel, extracting actionable insights to inform business decisions. Led a team as Team Lead, ensuring efficient project execution and collaboration. Provided data-driven marketing recommendations to optimize workforce allocation and investment strategies. Identified high and low-selling products, enabling profitability improvements through targeted resource allocation. Customer Segmentation for Retail Analytics, Data Analytics Project, Performed customer segmentation using clustering algorithms (K-means) based on demographic and purchasing data. Conducted detailed analysis of customer preferences, identifying high-value segments and low-frequency shoppers. Developed targeted marketing strategies for each customer group, enhancing engagement and retention. Predictive Sales Forecasting, Machine Learning Project, Utilized time series analysis and machine learning algorithms (ARIMA, Random Forest) to forecast future sales based on historical data. Developed a dashboard using Tableau for real-time tracking and prediction of sales trends. Improved sales forecasting accuracy by over 15% using advanced modeling techniques.
LinkedIn, https://www.linkedin.com/in/p-damu-210431214?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
Cleaning and preprocessing structured/unstructured data, trend analysis, and predictive modeling., Tableau, Excel, SQL, Python, Pandas, NumPy, Leveraging data insights to improve customer engagement and operational efficiency, decision-making, multitasking, teamwork, and collaboration., Complex queries, joins, CTEs, and window functions.