Ren Madadi
Hi, I’m Ren Madadi, a data scientist and AI/ML engineer focused on building scalable data products that drive business impact.
About
Hi, I’m Ren Madadi, a data scientist and AI/ML engineer focused on building scalable data products that drive business impact. I have hands-on experience designing ETL pipelines, production automations, dashboards, and ML services across finance, aviation, and automotive domains. I enjoy turning complex data into actionable insights and collaborating with cross-functional teams to deliver measurable value.
Outside work, I’m a certified pilot with an EASA license, which reflects my passion for aviation and continuous learning. I’m always excited to apply analytical rigor to new challenges and contribute to AI-enabled transformations.
- 3 years' experience
- Joined March 2026
Languages
- EnglishFluent
- Romanian, Moldavian, MoldovanFluent
- ItalianIntermediate
- Spanish; CastilianBeginner
- GermanBeginner
Industry experience
- Financial Services
- Software & Internet
- Travel & Hospitality
- Transportation & Logistics
- Professional Services
Work experience· 4 roles
Developed and managed production automations and real-time executive dashboards; designed an end-to-end ETL pipeline processing heterogeneous PDF formats with OCR and LLMs to extract structured data; implemented CI/CD pipelines for Kubernetes-hosted ML services with blue-green deployments and strict model versioning; trained a random forest classifier achieving 96% accuracy; acted as SME for AI and Dataiku and led onboarding for 2 new hires.
Boosted revenue by 17% by analyzing 300k+ data points to predict demand spikes and optimize advertising spend; assessed profitability for introducing MG as an official Romania representative; created automated real-time dashboards for KPI tracking, reducing report generation time by 40%; designed a new profitability metric for mechanics that revealed up to 15% inefficiency.
Engineered a modular recommendation engine using LightGBM Rank and collaborative filtering, yielding 70% recall improvement and projected 36% revenue uplift; developed a multi-page Streamlit dashboard for model monitoring and product insights; conducted 10+ stakeholder interviews to align AI solutions with RM workflows.
Education
Certifications and awards
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