Sonali More

I’m a Data Analyst fresher with an M.Sc. in Computer Science (CGPA 8.93) and active internship experience at Bluestock Fintech. I bring a practical, analytics-first approach—turning messy data into reliable insights through SQL pipelines, Power BI dashboards, and Python automation.

In my role, I analyzed and validated mutual fund NAV data across 10,000+ records using Python (Pandas, NumPy) and SQL, ensuring accuracy in financial reporting pipelines. I also automated data ingestion and validation workflows with Python scripts and MySQL, reducing manual processing effort by 40% while improving data quality.

I’ve built decision-ready visuals, developing 3+ Power BI dashboards with KPI-driven data visualization to support leadership decisions. In parallel, I developed a Telecom Customer Churn Prediction model using Random Forest and SMOTE, achieving 82% accuracy and identifying ~1,400 high-risk customers using 5-fold cross-validation.

My projects reflect how I work end-to-end with data: I performed RFM segmentation on 100,000+ customer records to find the top 20% driving ~80% of revenue and created interactive drill-through insights in Power BI. I also designed a multi-page retail analytics dashboard with DAX measures to highlight sales trends and underperforming segments—focused on clarity, accuracy, and business impact.