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Dr Dilek Celik
AI & ML Engineer
Consultant
SKILLS
Python | SQL | Keras | Tensorflow | SciKit-Learn | Pandas | NumPy | SciPy | Matplotlib | Seaborn | ggplot2 | Jupyter Notebook | R Markdown | Advanced Statistics (SPSS, A/B Testing) | Hadoop | Cloud (AWS, Azure) | Tableau
Football Analytics
Frequently Asked Questions (FAQ) of Machine Learning
What is a Feature Scaling?
Introduction to Feature Scaling In the world of machine learning, data is everything. But raw data isn't always perfect. Often, it...
The Math Behind Data Science Interviews
Over the years, in my journey through academia, mentoring, and collaborative projects with hiring managers, I repeatedly heard one...
🚀 Inference Speed of Machine Learning Models
Once machine learning models are trained using the same features or attributes, their inference time —the speed at which they make...
What is the workflow or process of a data scientist? What tools do they use in data science workflows?
Image credit: This framework was introduced by Professors Joe Blitzstein and Hanspeter Pfister in their Harvard course, Introduction to...
🔍 Step-by-Step Guide to Designing an A/B Test
Procedure for A/B Testing Step 1: Understand the Problem Statement in A/B Test Business context : Online clothing store (Fashion Web...
Unlocking the Potential of Sports Analytics: Understanding xG and Goal Prediction ⚽️😎
Introduction: In the realm of sports analytics, xG (expected goals) serves as a vital metric for gauging the likelihood of a shot...
⚽ Utilizing YOLO for Advanced Football Analysis: A Fenerbahçe SK Case Study! 🟡🔵
In today’s football landscape, data analysis has evolved into an essential asset for gaining competitive advantages. AI and machine...
Data Science and Machine Learning: Shaping Football’s Future and How Turkey’s Powerhouses Can Lead the Revolution
Fenerbahçe SK and Galatasaray SK have the capacity to influence the future of football, not only in terms of gameplay but across all...
AI FACTORIES
DESIGNING MACHINE LEARNING SYSTEMS - MLOps
MLOps (Machine Learning Operations) is an exciting set of practices and principles that brings the power of DevOps-like automation,...
DESIGNING MACHINE LEARNING SYSTEMS
Booking.com has 150+ ML models. Uber has thousands of models in production. At any given moment, Google has thousands of models training...
AI Factories: Episode 1 – So, what exactly is “AI Factories” or “AI Factory”? 🌟
“ In the future, every company, every industry, will have AI factories ” said by Nvidia CEO Jensen Huang. What does an “AI Factory” truly...
AI Factories: Episode 2 – Virtuous Cycle in AI Factories
“AI factory creates a virtuous cycle between user engagement, data collection, algorithm design, prediction, and improvement.” Iansiti &...
AI Factories: Episode 3 – The Components of AI Factories
In today’s digital landscape, companies are constantly exploring ways to stay competitive and foster innovation. Harvard researchers...
AI & ML Projects
🧠 Flight Risk Employee Prediction Project
🚀 Live App : https://top-talent-employee-flight-risk.streamlit.app/ In collaboration with Retainable, I developed a machine...
🌟📊📈 Developing a Cutting-Edge Analytics Dashboard: A Step-by-Step Guide
Creating an analytics dashboard that effectively tracks and displays Key Performance Indicators (KPIs) requires careful planning and...
Customer Segmentation with Cluster Analysis: A Dive into Unsupervised Learning
Summary Built K Means Clustering, Hierarchical Clustering (AgglomerativeClustering) models Performed Exploratory Data Analysis (EDA),...
Car Price Prediction Project: A Regression Approach
Summary Build Linear Regression, Ridge Regression, Lasso Regression, Elastic-Net algorithms Performed end to end Data Science steps,...
Building a Fraud Detection Model: My Journey from EDA to Deployment on AWS
Summary Built and maintained Logistic Regression, Random Forest, and Deep Neural Network models. Performed EDA, Statistical Analysis,...
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