MANASA LAKSHMI KUDITHIPUDI

Aspiring Business Analyst with six months of hands-on internship experience, working with real-world banking datasets. Skilled in Python, SQL, and Power BI for end-to-end data analysis, segmentation, and visualization. Experienced in building ML models, creating business dashboards, and applying data science techniques to solve practical problems. Passionate about learning and contributing to real-world analytics in domains like retail and supply chain.

• Power BI Sales Dashboard – Global Restaurant Chain
  Cleaned Kaggle sales data using Python, structured it via SQL Server, and built an interactive Power BI dashboard analyzing season-wise, region-wise sales and top-performing dishes.
• Keras Text Summarization - Enhanced model performance with attention mechanisms to improve ability to focus on relevant text, leading to more accurate and coherent summaries.
• House Price Prediction – Boston Dataset
  Used Python to clean and prepare data, trained multiple regression models, and selected the best one based on performance metrics for forecasting house prices.
• Churn Prediction Model - Used RapidMiner to predict which customers are likely to stop using a service by applying Classification Model.
• Competitive analysis for a SaaS Product (Genesys vs Cisco vs Sprinklr)
• Skills Demonstrated : Market research, competitor benchmarking, product strategy.
• End - to - End Product Launch - Conducted market research and stakeholder analysis to define product vision and scope