Neha Bhoyar

At Atherbyte IT Solutions, I queried, cleaned, and validated 1,000+ production records with SQL and Python, helping keep inaccurate data out of a desktop analytics application.

I translated analysis into three user-facing analytics features and KPI reports, collaborating with engineers on MySQL schema design, reporting requirements, and validation logic. I also used descriptive statistics to identify product usage and performance trends that informed the metrics surfaced to end users.

For my e-commerce analytics project, I built a Python ETL pipeline for 4,000+ order records and delivered an interactive Streamlit/Power BI-style dashboard for sales, retention, and customer-behavior reporting.

I used RFM analysis and K-Means clustering to identify four customer groups, finding that the top 5.4% generated 22.5% of total revenue. I enjoy turning business requirements into dependable data solutions and clear, actionable recommendations.