Dixit Raghuvanshi

I’m a business-focused Data Analyst with hands-on experience in SQL, RDBMS/DBMS, and data validation, along with exposure to the full Software Development Life Cycle (SDLC). I combine requirements gathering with testing and analysis to translate stakeholder needs into technical reporting solutions.

In my Data Analyst Intern role at InnoByte Services (Remote), I partnered with stakeholders to define and document reporting requirements and then built dashboards for operational performance monitoring. I performed manual data validation and testing on 20,000+ transactional records to improve executive dashboard accuracy.

I also deliver KPI-focused insights through EDA, identifying 5–7 revenue-driving KPIs for weekly reviews. With Python (Pandas, NumPy) and Power BI (DAX, Power Query), I support KPI reporting and dashboard automation to make performance monitoring faster and more reliable.

Through projects like Profit Optimization & Revenue Leakage Analysis, RFM Customer Segmentation Analysis, and Vendor Performance Analysis, I’ve worked with large datasets (50,000+ transactions and 1M+ rows) using advanced SQL (CTEs, window functions, joins, aggregations). I’m energized by building dashboards that clearly explain what’s happening and why—so teams can act with confidence.