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Hi 👋, I'm Özer

Aspiring Machine Learning Engineer | Passionate About Building SaaS Solutions in Big Tech

  • Spent over 2 years at ALS GoldSpot Discoveries, initially as a data scientist and later transitioning into an ML Engineer role. However, my responsibilities often diverged from traditional data science and ML engineering. Our main focus was on developing a SaaS product, where a more fitting title might have been MLOps Engineer. Day to day, I collaborated with my team to facilitate a fully automated ML platform for mineral exploration. This involved responding to Jira tickets assigned to me, resolving reported bugs, and implementing new features to enhance and support the product.

  • Currently working as a Senior Data Scientist at Canadian Red Cross.

  • My experience spans both analyzing data and deploying machine learning models into production, enabling me to see projects through from data analysis to operational implementation.

  • Particularly interested in implementing machine learning web applications through Software as a Service (SaaS) solutions.

  • Enjoy developing machine learning pipelines that align with and advance strategic business objectives.

  • Excel at using data-centric methodologies to extract insights and drive decision-making.

  • Passionate about the intersection of image processing and machine learning.

  • I'm working towards the AWS Developer Associate Exam.

  • These days, I'm self-teaching how to effectively build and monitor embedded machine learning models on edge devices.

  • 📫 How to connect with me www.linkedin.com/in/ozerozdal/

oozdal

Languages and Tools:

aws bash circleci cplusplus django docker gcp git heroku kubernetes linux matlab mysql opencv pandas postgresql python pytorch scikit_learn seaborn sqlite tensorflow

oozdal

 oozdal

oozdal

Ozer Ozdal's Projects

adapted-srgan icon adapted-srgan

High-resolution aeromagnetic map through Adapted-SRGAN (ASRGAN)

alrm icon alrm

Alternative Left-Right Symmetric Model

deep-learning-ml-and-tensorflow icon deep-learning-ml-and-tensorflow

Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.

dive-into-machine-learning icon dive-into-machine-learning

Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications

face-emotion-detection icon face-emotion-detection

A Streamlit application that predicts facial emotions from uploaded images or pictures taken with the camera.

heart-attack icon heart-attack

Two-year Survival Predictor predicts patient survival rates following a heart attack

ice-breaker-app icon ice-breaker-app

Icebreaker app finds the person on LinkedIn and provides a short summary about that person

lrsm icon lrsm

Generic Left-Right Symmetric Model

mcmc icon mcmc

Metropolis–Hastings algorithm for scanning N number of free parameters of a model

mobile-price-classification-with-aws-sagewaker icon mobile-price-classification-with-aws-sagewaker

This project focuses on building end-to-end machine learning pipeline using AWS SageMaker to predict the price range of mobile phones based on their specifications, enhancing consumer decision-making and streamlining the development process.

nonumssm icon nonumssm

Family Dependent UMSSM with Non-Universal Charges

openai-dataanalyzer icon openai-dataanalyzer

Engage with your datasets effortlessly using OpenAI-DataAnalyzer, an intuitive app where you chat with your dataset.

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