Kavyasri Koppanati

Intern at Unified Mentor with expertise in analyzing complex data sets through advanced learning techniques. Proven ability to collaborate effectively in teams, solve intricate Kaggle challenges, and implement impactful data visualization strategies. Strong skills in stakeholder communication and support for high-priority projects, demonstrating a commitment to excellence. Qualified Business Intelligence Analyst skilled in data mapping and user acceptance testing, adept at investigating trends in large data sets and fostering client relationships for business growth.

English: Fluent, Telugu: Fluent, Hindi: Fluent, Tamil: Fluent

Self-initiated / Academic Project | March 2025 – Present, Led end-to-end data analysis on agricultural datasets (crop yield, soil health, and weather patterns) to uncover insights for farm optimization., Tools & Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, Tableau, ExcelJupyter Notebook., Collected and cleaned data from public agricultural databases (e.g., USDA, FAO) and IoT sensor CSVs., Applied exploratory data analysis (EDA) to identify key patterns in crop productivity and rainfall trends., Built interactive Tableau dashboards to visualize seasonal yield forecasts and region-specific farming suggestions., Used regression analysis and clustering (K-Means) to group similar farming zones and predict next-season yields., Collaborated with peers to present insights in a mock stakeholder meeting, simulating agri-business decision support., Generated a final report with data-driven recommendations for crop rotation and irrigation planning.