Sai Lakshmi

Built an end-to-end Customer Churn Analytics project to identify key drivers of customer attrition and support data-driven retention strategies. Performed Exploratory Data Analysis (EDA) to uncover churn patterns and trends. Cleaned and prepared data using Python (Pandas, NumPy). Built and evaluated machine learning models (Logistic Regression, Random Forest,XGBoost). Achieved ~85% model accuracy and identified high-risk churn segments. Visualized churn insights and KPIs using Power BI dashboards.

Built automated recruitment dashboards using Power BI, reducing manual reporting by 40%. Analyzed hiring funnel data using SQL and Excel to identify drop-off points and optimize conversion rates. Performed EDA on candidate datasets to identify sourcing performance trends. Delivered weekly KPI reports to leadership using Python (Pandas, Matplotlib). Collaborated with stakeholders to define data requirements and metrics.