Vetted Statistical Analysis Professionals

“HRBP/Employee Relations professional with Accenture and Clyde & Co experience, combining strong people analytics with risk-focused change management. Notably coded and analyzed four years of exit interview data to drive targeted retention and compensation actions across offices, and partnered with North America HR/Finance leadership on shared-services transition planning involving protected-class risk analysis.”

“ML/AI engineer with hands-on ownership of production document intelligence and GenAI systems, spanning model experimentation, AWS deployment, monitoring, and iterative optimization. Stands out for turning document-heavy workflows into reliable, near real-time products with measurable gains in accuracy, latency, and manual-effort reduction, while also shipping citation-grounded RAG features that drove user trust and adoption.”

“Robotics-focused candidate who built core software for a ROS2 pick-and-place arm that sorted colored cubes using an overhead camera and an AI color-recognition model. They owned arm modeling in ROS, motion logic (coordinate-to-IK-to-joint paths), and created a data-driven linear error-correction calibration to mitigate camera/AI coordinate bias, plus tuned motion speed to improve real-world repeatability.”

“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”

“Built and owned an end-to-end VR surfing simulator in Unity/C#, integrating Arduino inputs, external tracking, and a motion platform with multisensory feedback. Deep focus on VR comfort and control stability (PD control, quaternion-based orientation, latency/jitter mitigation) validated via IMU measurements and 200+ user studies, plus some Unreal gameplay framework and replication/prediction experience.”

“Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.”