Vaibhav Negi

I’m a Data Analyst with a B.E. in Computer Science Engineering and hands-on experience delivering measurable impact through data analysis, ETL pipelines, EDA, and statistical analysis. I translate complex findings into clear business recommendations that stakeholders can act on confidently.

In my Data Analyst Internship at Cit-Peels Naturals Private Limited, I collected, cleaned, and preprocessed 15,000+ operational records, improving data quality by 30% while reducing the decision-making cycle by 2 days per reporting period. I designed and deployed 5+ interactive dashboards in Power BI and Excel to track 12 KPIs, cutting manual reporting effort by 25% and improving visibility into business performance.

I also built ETL pipelines and automated recurring data workflows using Python scripts, reducing manual processing by 20% and saving 10+ hours weekly across cross-functional teams. Through exploratory and statistical analysis, I surfaced trends and anomalies and supported process improvement by gathering requirements and defining KPI frameworks with operations and management.

Beyond internship work, I’ve built analytics and predictive solutions through projects like customer shopping behavior analysis, healthcare readmission analysis, and an airline delay prediction system (achieving 85% accuracy). I enjoy combining Python/SQL rigor with tools like Power BI and Streamlit to bridge technical analysis and non-technical decision-making, supported by my Advanced Certificate in Data Science and AI-ML.