Philip Timothe — Technical Project Manager

Over two years I led 29 separate projects capturing Darby's completed construction through photography, film, and storytelling. I owned each engagement from scope to delivery, running a repeatable system that held one quality standard across constantly changing sites and cleared every asset against the end client's bar before release.

Across two projects I produced the treatment-imagery library for Glowbar, capturing ten treatments and multiple models for use across their customer-facing channels. I led each from business objective to approved delivery, treating creative production as a structured process so every asset served a defined purpose and held one consistent visual standard. The library is live on Glowbar's core services page today.

I led the strategy, design, and build of WhiteCoatLab's digital presence. From market research and user journey mapping to wireframes and execution, I aligned the brand identity with our creative services in film and photography. The site was designed to showcase portfolio work, reinforce trust with first-time visitors, and scale as a platform for future case studies.

I led a short-form social series for a client in the music space, owning it from concept to delivery. I set the goal, defined the content approach, and built a repeatable production system that kept publishing consistent and on cadence, creating steady touchpoints that grew audience trust over time.

I led the end-to-end development of a micro-documentary for an emerging music artist, from discovery workshops through production and delivery. I aligned stakeholders on vision, defined the roadmap, and managed execution across multi-location shoots that positioned the artist for growth.

I built predictive models to analyze salary trends in the data science industry using historical data. By exploring factors like experience level, job role, company size, and remote work, I delivered insights and actionable recommendations that help both companies and professionals make data-driven decisions about compensation.

I developed predictive models to analyze loan default patterns and identify high-risk borrowers. By combining data preprocessing, feature engineering, and advanced modeling, I built insights and recommendations to help financial institutions reduce defaults and improve lending strategies.