I am a Business Intelligence and AI Analyst with 3+ years of experience driving business transformation, project portfolio management, and AI adoption across Fortune 500 and academic environments. I enjoy connecting business and technology, delivering insights through storytelling, and applying AI for strategic impact. Open to relocation and fully authorized to work in the US.
July 2025 – Present
- Lead AI-driven initiatives and digital transformation strategies to optimize project portfolio management, overseeing cross-team projects and client deliverables.
- Deliver strategic insights and Power BI dashboards for leadership, enabling data-informed storytelling, collaboration, and process automation.
- Partner with stakeholders to guide AI adoption and translate business needs into actionable strategies.
September 2021 – July 2023
- Led Amazon Advertising Optimization and Advertising Data Infrastructure projects, building predictive models and dashboards for 10K+ ads, driving a 10% lift in engagement.
- Delivered insights for global campaigns (e.g., Apple), mentored 9 analysts, and earned the team’s fastest promotion while managing compliance for 20K+ ads.
June 2025 – July 2025
- Contributed to AI projects including LLM-to-SQL agents, conversational AI chatbots, and IVR systems, supporting automation and innovation initiatives.
Jan 2024 – June 2024
- Built high-performance Python/C++ scripts for data processing on supercomputing clusters, transforming NASA THESAN datasets into structured formats for advanced analysis and modeling.
- Applied Monte Carlo Radiative Transfer (MCRT) simulations for early-universe astrophysics research.
- Developed scalable pipelines for data analysis and modeling, improving computational efficiency.
# Example: High-performance photon simulation for astrophysics research
import numpy as np
def photon_simulation(n_photons):
positions = np.zeros((n_photons, 3))
for i in range(n_photons):
# simulate photon path
positions[i] = np.random.rand(3)
return positions