Omid Ghorbani

Chemin de Pierrefleur 31, Lausanne, Switzerland · +39 334 27 00 273 · omidghorbaniai2001@gmail.com  · omid.ghorbani@epfl.ch

Data Science graduate with cross-industry exposure (automotive, telecom). Focused on computer vision, forecasting and causal modeling. During my thesis at EPFL/WasteFlow, I improved the reliability of a real-time waste-detection pipeline via calibration and segmentation, enabling more trustworthy decisions. I like turning messy data into robust, scalable ML systems that ship.

Experience

Computer Vision Thesis Intern

WasteFlow (EPFL Spin-off) · Lausanne
  • Mitigated overconfident YOLO detections via post-hoc calibration and segmentation checks.
  • Built pipelines for data collection → preprocessing → inference → calibration analysis (Python, PyTorch).
  • Benchmarked reliability across models and quantified error propagation to business metrics.
Feb 2025 – Present

Founder & Developer (Startup Program)

Anywear · Dock3, Rome
  • Built a virtual try-on MVP using APIs & Python; delivered live demo to stakeholders.
  • Finalist among 40 teams; pitched to 300+ audience members.
  • Ran customer discovery & market sizing to de-risk scope and feature set.
Feb 2024 – Jun 2024

Business Analyst Intern

Bonyan System · Tehran
  • Built customer-scoring for loan allocation from usage & loyalty metrics.
  • Deployed a Gradio dashboard to flag accounts crossing thresholds.
  • Improved approval efficiency via dynamic credit allocation rules.
Jul 2023 – Sep 2023

Business Analyst Intern

SAPCO · Tehran
  • Modeled truck delivery prices from weather, truck type & distance features.
  • Reduced pricing errors by ~15% via dynamic pricing model.
Aug 2022 – Sep 2022

Education

EPFL — École Polytechnique Fédérale de Lausanne

MSc in Data Science (Erasmus Exchange)
Main coursework: NLP, AI Product Management, Reinforcement Learning, Causal Inference, Genomic Data Analysis.
Sep 2024 – Jul 2025

Sapienza University of Rome

MSc in Data Science
Erasmus Scholarship for EPFL (ranked 2nd). Coursework: Advanced Statistics, Signal Processing, Advanced Data Mining, DBMS, Optimization, Computer Vision.
Sep 2023 – Jul 2025

Kharazmi University, Tehran

BSc in Industrial Engineering — GPA 18.14/20 (Rank 3)
Statistics & Probability, Quality Control, Financial Management, Optimization, Business Analysis, Project Management.
Sep 2019 – Jan 2023

Projects

Causal Graph Discovery & Inference for Stock Market Dynamics

EPFL · Apr 2025 – Jul 2025
  • Implemented CI tests & hypothesis testing to infer causal relations.
  • Constructed graphs; explored interventions & cross-company effects.
  • Focus: causal inference, graph algorithms, correlation analysis.

Exploratory Data Analysis of Automotive Supplier Portfolio

SAPCO · Apr 2022 – Sep 2022
  • Identified value drivers via ABC analysis (Python & Excel).
  • Segmented categories with Pareto patterns; delivered BI visuals.

Skills

Programming & Tools
Core Competencies
  • Machine Learning (PyTorch, Scikit-learn, TensorFlow)
  • Computer Vision (YOLO, OpenCV, segmentation, calibration)
  • Causal Inference & Statistical Modeling
  • Data Analysis & Visualization (Pandas, Matplotlib, PowerBI)
  • Business Analysis & Product Development

Beyond Code

I love hiking (especially the Swiss Alps), meeting new people, and building communities. I regularly organize non-profit events for students in tech and data science—creating spaces where ideas, mentorship, and opportunities can flourish.

Publications

Certifications

  • Deep Learning Specialization (Coursera)
  • Machine Learning with Python (IBM)
  • SQL for Data Science (UC Davis)