Özer Özdal Email & Phone Number

Montreal, Qc, Ca

Montreal, Quebec, Canada

Montreal, Quebec, Canada

Designed and optimized machine learning solutions at the Canadian Red Cross by:• Building a machine learning model for the Canadian Red Cross to refine donor engagement by predicting donor behaviors through advanced propensity modeling.• Developing a bilingual chatbot that streamlined information retrieval for staff, enabling quick access to clear answers and relevant hyperlinks in both English and French.• Building and optimizing scalable, production-ready ML pipelines for predictive modeling by developing high-performance algorithms.• Automating testing, deployment, and monitoring to ensure reliability and efficiency in production environments.

Montreal, Quebec, Canada

Refined and enhanced ALS GoldSpot Discoveries' machine learning platform and SaaS products by: • Designing, developing, and optimizing ML models and feature engineering pipelines to boost accuracy and efficiency in prospectivity analyses across SaaS offerings. • Creating and maintaining robust backend API components to streamline geoscientists' workflows and integrate ML insights into SaaS solutions. • Debugging and modifying systems to resolve issues and add new features, maintaining the cutting-edge functionality of both the platform and SaaS products. • Developing an automated unsupervised clustering tool using Self-Organizing Maps (SOM) to generate detailed geological maps, enhancing precision in lithology exploration. • Designing an API that improves the resolution of GeoTIFF images using Adapted Super-Resolution Generative Adversarial Networks (GANs), while keeping the original content and intricate details intact. • Utilizing AWS SageMaker for end-to-end machine learning model development, including preprocessing, training, tuning, and deployment, focusing on scalability and performance. • Leading the creation of a dynamic reporting API using Plotly and Dash for visualizing ML pipeline outcomes, enhancing data visualization and decision-making for SaaS users. • Implementing unit and integration tests with pytest to ensure high code quality and functionality. • Designing and optimizing CI/CD pipelines with GitHub Actions to automate and streamline deployment for SaaS products and platform updates. • Implementing custom metrics on AWS CloudWatch for real-time performance tracking and enhanced system visibility. • Handling data scientist requests and troubleshooting cloud-related issues, providing support and resolving problems to ensure effective use of SaaS offerings.

Montreal, Quebec, Canada

• Managed and successfully executed over 15+ consulting projects within the mineral exploration domain, delivering comprehensive results to stakeholders.• Designed a data transformation product that enhances signal strength and reduces noise levels by analyzing raster stacks in a thematic manner.• Design and guide experiments/analysis to measure impact and drive product improvements.• Initiate, develop, and maintain data pipelines with outstanding craftsmanship.• Conduct deep dives to help solve complex problems to drive impact and achieve ALS GoldSpot Discoveries' strategic business objectives.• Assisting in enhancing Goldspot's exclusive machine learning workflows.• Implemented ML explainability and interpretability techniques, focusing on feature importance and SHAP values to demystify model decisions and enhance transparency in predictive analytics.• Creating mineral prospectivity and geological maps for mining companies by integrating geological and geophysical data through proprietary machine learning methods.• Processing and clustering remote sensing data (such as ASTER, Sentinel).• Creating new features/input layers to use in ML workflows.• Integration of remote-sensing, geophysics, geochemistry and other geoscientific data.

Moncton, New Brunswick, Canada

• Implemented and deployed machine learning solutions to enhance the efficiency, speed, and accessibility of lung cancer screening.

Montreal, Quebec, Canada

• My goal is to compare two D dimensional samples: the SM simulated events (background to BSM searches), and the real data, and to check if the two are drawn from the same probability density distribution. Lead to two scientific publication.• Cross-fertilising extra gauge boson searches at the LHC, JHEP 11 (2021) 014• Electron and muon magnetic moments and implications for dark matter and model characterisation in non-universal U(1)′ supersymmetric models, JHEP 10 (2021) 063

Montreal, Canada Area

Montreal, Canada Area

TAed for 8 physics courses. Graded assignments and wrote solutions, lead office hours and tutorial sessions:• PHYS 204 Mechanics (Tutor, 2020 Summer)• PHYS 273: Energy and Environment (2020 Winter)• PHYS 284: Introduction to Astronomy (2019 Fall)• PHYS 204 Mechanics (Tutor, 2019 Summer)• PHYS 367 Modern Physics and Relativity (Tutor, 2019 Winter)• PHYS 245 Classical Mechanics (Tutor, 2018 Fall Semester)• PHYS 224 Introductory Experimental Mechanics (Lab Assistant, 2018 Summer)• PHYS 252 Optics (2018 Winter)• PHYS 236 Numerical Analysis in Physics (2017 Fall)• PHYS 224 Introductory Experimental Mechanics (Lab Assistant, 2017 Summer) • PHYS 252 Optics (2017 Winter)• PHYS 236 Numerical Analysis in Physics (2016 Fall)

Southampton, United Kingdom

The project has been supported by MITACS Globalink Research Award. Lead to two scientific publications.• Leptophobic Z′ bosons in the secluded UMSSM - Phys.Rev.D 102 (2020) 11, 115025• E6​ motivated UMSSM confronts experimental data - JHEP 05 (2020) 123Talks:1) Higgs Couplings Workshop, Oxford, UK. 30 September - 4 October, 2019 Title: Mass spectrum and Higgs profile in B−L symmetric SSM2) University of Southampton, November 26, 2019. Title: Relaxing LHC constraints on the W' mass, and natural Dark Matter

Izmir, Turkey

Studied muon anomalous magnetic moment and yukawa quasi-unification in supersymmetric models. Lead to one scientific publication: • Muon g−2 in an alternative quasi-Yukawa unification with a less fine-tuned seesaw mechanism - Phys. Rev. D 97, 055007 (2018)

Istanbul, Turkey

Mechanical Characterization LabProject title: Vibration modeling in nanowire resonators with mechanical couplingUnder the supervision of Assoc. Prof. Erdem Alaca

Doctor Of Philosophy - Phd, Physics, 3.57/4.0

Activities and Societies:Studied the phenomenology of new physics beyond the Standard Model: signals of dark matter and new gauge bosons.

Inter-University Transfer Student, Physics

Took two graduate courses: √ Physics 610 Quantum Field Theory I given by Prof. Simon Caron-Huot √ Physics 673 Quantum Field Theory II.

Master Of Science - Ms, Physics, 3.5/4.0

Studied the Higgs boson and right-handed neutrinos in supersymmetric models. Lead to a scientific publication: √ Mass spectrum and Higgs.

Bachelor Of Science - Bs, Physics, 3Rd Ranked

√ Winter School on Computer Applications in Accelerator and Particle Physics (Gaziosmanpaşa University, Tokat, Turkey - 2014, February.