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Cem Bıkmaz

Cem Bıkmaz

Jr. Data Scientist | MLOps Engineer | Data Analyst

Girne American University | Turkey

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Project

Dr. Semmelweis and the Discovery of Handwashing

My New Track

Data Scientist

Data archaeologist, unearthing buried insights from historical records.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

freecodeCamp Data Analysis with Python

Data Science Earth MSSQL SERVER Training Certificate of Achievement

Global AI Hub Introduction to Machine Learning

Global AI Hub Version Control System

Datacamp Data Scientist with Python Track

Miuul Data Scientist Career Path

Veri Bilimi Okulu Data Science & Machine Learning

Veri Bilimi Okulu Machine Learning Operations (MLOps)

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Infinidium Technologies | Nov 2022 - Present

Data Scientist

N/A

Veri Bilimi Okulu | Mar 2022 - Jun 2022

MLOps Bootcamp Participant

- The Machine Learning Development Process - From Model to Model Factory - Packaging Up The Codes - Deployment Patterns and Tools * Flask, FastAPI * MLflow - Scale * Apache Spark - End-to-end project * Docker/Kubernetes * AWS
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Global AI Hub | Mar 2022 - Present

Core Member and Mentor

N/A

Miuul | Feb 2022 - Present

Beta Tester

N/A

In Plain English | Nov 2021 - Present

Writer

N/A

Veri Bilimi Okulu | Oct 2021 - Mar 2022

Data Science & Machine Learning Bootcamp Participant at Veri Bilimi Okulu

Potential Customers Yield with Rule-Based Classification Project - Creating level-based new customer definitions (personas) by using some features of a game company's customers, creating segments according to these new customer definitions, and estimating how much the new customers can earn on average according to these segments. Customer Lifetime Value Forecast and Results with BG-NDB and GAMMA GAMMA - Making a forward-looking projection for an e-commerce site's customer actions according to the CLTV values of its customers. Customer Segmentation With Using RFM - An e-commerce company segments its customers and determines marketing strategies according to these segments, - To increase income by doing marketing studies specific to customer segments that exhibit common behaviors. Association Rule Learning Recommendation - Suggesting products to users at the basket stage. Hybrid and Content-Based Filtering Recommendation - Making predictions for the user whose ID is given, using the item-based and user-based recommender methods. A/B Testing - Comparing two versions of a web page or app in digital marketing, determining which performs better and gets more conversions. Rating Product & Sorting Reviews - Trying to calculate product ratings more accurately and ordering product reviews more accurately. Feature Engineering - Developing a machine learning model that can predict whether people have diabetes when their characteristics are specified, - Perform the necessary data analysis and feature engineering steps before developing the model., - Developing a machine learning model that can predict customers leaving the company, - Perform the necessary data analysis and feature engineering steps before developing the model.

DataCamp | Apr 2021 - Dec 2021

Data Science Career Track Participant

- Introduction to Python - Intermediate Python - Data Manipulation with Pandas - Joining Data with Pandas - Introduction to Data Visualization with Matplotlib - Introduction to Data Visualization with Seaborn - Python Data Science Toolbox - Intermediate Data Visualization with Seaborn - Introduction to Importing Data in Python - Intermediate Importing Data in Python - Cleaning Data in Python - Working with Dates and Times in Python - Writing Functions in Python - Explatory Data Analysis in Python - Statistical Thinking in Python - Supervised Learning with Scikit-Learn - Unsupervised Learning in Python - Machine Learning with Tree-Based Model in Python - Cluster Analysis in Python

AGTEKS LTD. | Sep 2020 - Dec 2020

Trainee Planning Engineer

- Creating a distance matrix on the production line - Estimating production numbers for the next years using estimation methods - Visualization in Power BI applications by pulling data from the Logo MRP program - Development, and corrections in the general workflow chart, and etc.

My Education

Take a look at my formal education

Bachelor of Science (B.S.C), Faculty of Engineering | Industrial Engineering | %100 scholarshipGirne American University | 2019

About Me

Cem Bıkmaz

Experienced data scientist with a background in predictive maintenance, route optimization, and driver behavior classification using IoT sensors. Skilled in genetic algorithms and real dataset analysis.

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