Spidey User

I’m a Data Analyst with hands-on experience in Power BI, SQL, Python (Pandas), and Excel, focused on data cleaning, visualization, and dashboard reporting to drive business insights. I enjoy turning messy datasets into clear, decision-ready analytics.

As a Data Analyst Intern at CodePlaced (Remote), I validated and reconciled 27,000+ CRM records during a Salesforce-to-Aurasell migration to ensure data integrity across Accounts, Contacts, and Opportunities. I also developed 4 dashboards and delivered stakeholder-centric reporting in Looker Studio, using automated KPI reporting to highlight campaign performance, lead acquisition, and advertising spend.

My work includes building analytics pipelines and interactive BI dashboards for real business questions. For example, I analyzed a 12M+ record retail dataset using PostgreSQL and Python, and built dashboards to evaluate vendor performance, sales trends, profitability, and inventory turnover.

I’ve also built SQL-based churn and revenue analysis for 240K+ records (5 relational tables) and created dashboards to pinpoint churn drivers like low engagement and high support resolution time. In customer shopping behavior analysis, I used Python, SQL, and Power BI to uncover patterns across 3,900+ transactions and recommend loyalty and subscription strategies.