Neha Ramesh

I’m a Data Analyst Intern at BlackRock, focused on making production data workflows easier to trust and faster to act on. I built a multithreaded Python/Bash reconciliation platform with OAuth2-authenticated REST APIs that improves visibility across 132+ servers and 44 client environments.

To drive measurable operational impact, I automated EUC reporting by replacing a 3-hour manual process with one-click KPI generation. Using SQL Server, Snowflake, Azure DevOps, SharePoint, and REST APIs, I cover 15+ measures (including SLA and turnaround time) while reducing query overhead through incremental caching.

Beyond analysis, I blend systems thinking with applied machine learning and research. As an Embedded Systems Intern, I engineered real-time C++/Qt telemetry dashboards at 100 ms intervals with SQLite logging and achieved 99% packet delivery reliability using a TCP/IP-based telemetry pipeline and Wireshark. I also build models like a dual-branch BiLSTM–Conformer speech emotion recognizer and a two-stage prompt injection defense for LLMs, including explainability with LIME and Integrated Gradients, plus I’ve authored a book chapter and filed a patent for an IoT drink-safety stirring stick.