srishti kashyap

I’m a Data Analyst with hands-on experience in SQL, Python, and machine learning, focused on building dashboards, segmenting large datasets, and delivering actionable reports that drive business decisions. I’m especially strong in data cleaning, EDA, and communicating insights clearly through structured documentation and stakeholder-ready reporting.

In my Data Analyst Intern role, I analyzed multiple datasets using SQL (Joins, CTEs) to identify trends and inconsistencies and streamlined data validation workflows to increase dashboard accuracy and stakeholder trust in KPI reporting. I created clear data reports and documentation that directly informed process improvements, and I diagnosed/resolved anomalies in source data to reduce recurring internal reporting errors.

My projects reflect how I apply analytics and ML in real-world contexts: I built an RFM-based customer segmentation and retention analysis on 400,000+ records (with Power BI dashboarding) and identified Champion customers driving 70% of revenue. I also developed a Hospital Readmission Predictor using 101,766 records, addressing class imbalance with SMOTE to achieve ROC-AUC of 0.78, translating model outputs into actionable risk stratification insights.