Srinith Samala

I’m a data analytics student with hands-on virtual internship experience, focused on translating messy customer and revenue data into clear business decisions. I use SQL and Power BI to identify what’s driving churn risk and how revenue performance can be protected.

In telecom churn and revenue risk work, I quantified revenue exposure and highlighted that churn-driven risk concentrates heavily in month-to-month customers. I also evaluated attribution bias by comparing last-touch vs linear models and built a what-if budget simulation to estimate revenue impact from ROI-driven reallocation.

I’m drawn to analytics roles where I can combine rigorous data modeling with practical storytelling—whether that’s churn analysis, retention segmentation, or executive-ready dashboards. I aim to keep improving my analytical depth through real business problems and measurable outcomes.