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%----------------------------------------------------------------------------------------
% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS
%----------------------------------------------------------------------------------------
\documentclass[letterpaper]{DS_class_file} % a4paper for A4
% Command for printing skill overview bubbles
\newcommand\mllibs{
~
\smartdiagram[bubble diagram]{
\textbf{~~~~~~~Data~~~~~~~},
\textbf{~~~~~PyTorch~~~~~},
\textbf{~~~~XGBoost~~~~},
\textbf{~~~~LightGBM~~~~},
\textbf{~~~~~Scikit~~~~~~}\\\textbf{~~~Learn~~~},
\textbf{~~TensorFlow~~}
}
}
\newcommand\pythonlibs{
~
\smartdiagram[bubble diagram]{
\textbf{~~~~~~Python~~~~~~},
\textbf{~~~~~FastAPI~~~~~},
\textbf{~~~~~PyTest~~~~~},
\textbf{~~~~~MLFlow~~~~},
\textbf{~~~~~Requests~~~~},
\textbf{~~~~~Django~~~~},
\textbf{~~~Streamlit~~~}
}
}
% \newcommand\hobies{
% ~
% \smartdiagram[bubble diagram]{
% \textbf{~~~~Myself~~~~},
% \textbf{~~~~Reading~~~~}\\\textbf{~~~Books~~~},
% \textbf{~~~~Travelling~~~~},
% \textbf{~~~~Watching~~~~}\\\textbf{~~~Movies~~~},
% \textbf{~~~~Trekking~~~~}
% }
% }
% Programming skill bars
\programming{{$\textbullet$ Jenkins $\textbullet$ Spark $\textbullet$ Kubernetes / 2.0}, {$\textbullet$ Microsoft Office $\textbullet$ MLOps $\textbullet$ Hadoop / 3.0}, {$\textbullet$ Linux $\textbullet$ SQL $\textbullet$ Git / 4.0},
{$\textbullet$ AWS $\textbullet$ Airflow $\textbullet$ Docker / 5.0},
{$\textbullet$ Python / 6.0}}
\vspace{10mm}
\programminglanguage{{ Arabic (A2 - Elementary Level) / 2.5 }, { English (C1 - Professional Work Ability) / 5}, { Turkish (C2 - Native Language) / 6}}
% Projects text
%\vspace{15mm}
%\languages{
% \textbf{English-C1}- Advanced in Listening, Reading, Writing and Speaking.\\
% \textbf{Arabic-A2} - Having basic knowledge about Arabic.
%}
%----------------------------------------------------------------------------------------
% PERSONAL INFORMATION
%----------------------------------------------------------------------------------------
% If you don't need onse or more of the below, just remove the content leaving the command, e.g. \cvnumberphone{}
\profilepic{mbk.jpg}% My photo is here
\cvname{\hspace{-0.5cm}Muhammed\newline\newline} % My name.
\cvsurname{\hspace{-0.6cm}Büyükkınacı} % My surname
\cvjobtitle{\hspace{0.05cm}Senior Data Scientist} % My position.
% title/career
\cvlinkedin{MuhammedBuyukkinaci}
\cvgithub{MuhammedBuyukkinaci}
\cvnumberphone{+90 552 219 01 50} % Phone number
\cvsite{Istanbul-Turkey} % Where I live.
\cvwebsite{muhammedbuyukkinaci.com}
\cvmail{muhammedbuyukkinaci@gmail.com} % Email address
% \aboutme{
% I am a T-shaped Data Scientist who has general knowledge \& experience on different IT areas such as Machine Learning Engineering, Back-End \newline Development, Data Engineering, Testing, Amazon Web Services. I possess over 5 years of experience in Python. My passion lies in driving innovation and value through cross-functional collaboration. I adhere to Design Principles while constructing real-world Data Science projects within end-to-end \newline pipelines. I am also in the process of integrating MLOps practices into my work. Beyond these aspects, I am not just an IT Engineer but also an eager lifelong learner.
% Alongside my technical expertise, I exhibit extroversion and an open-minded demeanor, coupled with excellent communication skills. I leverage both my soft and hard skills to establish myself as a leading Data Scientist in the industry.
% }
\aboutme{
\justifying
I am a T-shaped Data Scientist who has general knowledge and experience on different IT areas such as Machine Learning Engineering, Amazon Web Services, System Engineering, Back-End Development, Data Engineering and Software Testing. I have more than 7 years of experience in Python.
\justifying
My passion is to bring innovation and value through cross-functional collaboration. I follow Design Principles to build real-world Data Science projects with end-to-end pipelines. I am also working on integrating MLOps practices into my work. Beyond these aspects, I am not only an IT Engineer but also an eager lifelong learner.
\justifying
Besides my technical expertise, I am an extroverted and open-minded person with excellent communication skills. I leverage both my soft and hard skills to position myself as a leading engineer in the industry.
}
% .
%----------------------------------------------------------------------------------------
\begin{document}
\makeprofile % Printing sidebar
%----------------------------------------------------------------------------------------
% Cover Letter
%----------------------------------------------------------------------------------------
%----------------------------------------------------------------------------------------
% EXPERIENCE
%----------------------------------------------------------------------------------------
\section{Experience}
\begin{twenty}
\twentyitem
{Dec 2021}
{Present}
{\hspace{0.3cm}Senior Data Scientist}
{\href{https://www.hepsiemlak.com/}{\textbf{Hepsiemlak}}}
{}
{\begin{itemize}
\item Designed and implemented an ETL pipeline using Apache Airflow on Kubernetes, automating data processing from multiple sources, optimizing performance, and ensuring efficient data integration for enhanced decision-making and operational efficiency.
\item Developing a Hybrid Recommendation System based on Content Based Filtering and collaborative data. Finding similar listings with a Siamese Neural Network. Serving as the backbone of personalized emails, pushes and widgets.
\item Predicting sales and rental prices of homes using Machine Learning. Finding low-priced homes. Building up a REST API that predicts prices of homes via ML models real-timely.\newline Stack: Python, LightGBM, FastAPI, Hadoop, AWS, Docker.
\item Developing a watermark removal project in order to increase photo quality.\newline Stack: Python, PyTorch, Transfer Learning, RabbitMQ, Docker, AWS.
\item Developing an image quality scoring project to be used among different places such as filtering appropriate images, sorting images, choosing showcase image etc.
\newline Stack: Python, PyTorch, Transfer Learning, Kafka, Docker.
% \item Creating several image regression, segmentation \& classification projects on image data. \newline Stack: Python, PyTorch, Transfer Learning, RabbitMQ, Docker, AWS.
\end{itemize}}
\\
\twentyitem
{Oct 2019}
{Dec 2021}
{\hspace{0.3cm}Data Scientist}
{\href{https://www.urbanstat.com/}{\textbf{Urbanstat}}}
{}
{\begin{itemize}
\item Created an ML based risk scores of automobiles \& houses for the use of insurance companies. Lowered loss ratios up to 7\%. \newline Stack: Python, Flask, LightGBM, PostgreSQL, Docker.
\item Predicted wildfires and dangerous regions in California \& West Coast of USA using ML algorithms. Outperformed predictions of state government. Used SHAP library for interpretable outputs.
\item Developed an ML based churn analysis for house policies.
\end{itemize}}
\\
\twentyitem
{Sep 2018}
{Oct 2019}
{\hspace{0.3cm}Fraud Systems Engineer}
{\href{https://www.turkcell.com.tr/}{\textbf{Turkcell}}}
{}
{\begin{itemize}
\item Took part in an ML project aiming to predict which customers were going to object to their invoices. Dealt with an unbalanced problem.
\item Monitored Fraud \& Credit Control services of Turkcell. Managed several Physical \& Virtual Machines. Deployed software packages on live environment. Used Linux and SQL a lot.
\end{itemize}}
\\
\twentyitem
{Apr 2018}
{Aug 2018}
{\hspace{0.3cm}Junior Data Scientist}
{\href{http://www.organonanalytics.com/pages/index.php}{\textbf{Organon Analytics}}}
{}
{\begin{itemize}
\item Designed dashboards for end users via Shiny library of R.
\item Dealt with Customer Segmentation Analysis through Clustering.
\end{itemize}}
\\
% \twentyitem
% {Nov 2017}
% {Mar 2018}
% {\hspace{0.3cm}Freelance Coder}
% {\textbf{AG Bioinformatics}}
% {}
% {\begin{itemize}
% \item Designed and coded experiments used for EEG Analysis.
% \item Used Python and Neurobs's Presentation Software.
% \end{itemize}}
\end{twenty}
%----------------------------------------------------------------------------------------
% EDUCATION
%----------------------------------------------------------------------------------------
\section{Education}
\begin{twenty} % Environment for a list with descriptions
% \twentyitem
% {2018 Jan}
% {2020 Jan}
% {\hspace{0.2cm}Master of Science, Industrial Engineering}
% {\href{http://www.ie.boun.edu.tr/}{\hspace{0.27cm} \textbf{Boğaziçi University} }}
% {}
% {\begin{itemize}
% \item Dropped out.
% \end{itemize}}
% \\
\twentyitem
{2012 Sep}
{2018 Jan}
{\hspace{0.2cm}Bachelor of Science, Industrial Engineering}
{\href{http://www.ie.boun.edu.tr/}{\hspace{0.27cm} \textbf{Boğaziçi University} }}
{}
{\begin{itemize}
\item Took Statistics, Data Mining \& Time Series Forecasting courses.
\item Forecasted hourly electricity consumption of a specific region using different Machine Learning Algorithms in my graduation project.
\end{itemize}}
\end{twenty}
%----------------------------------------------------------------------------------------
% Achievements
%----------------------------------------------------------------------------------------
\section{Achievements}
\begin{twenty} % Environment for a list with descriptions
\twentyitem
{\href{https://www.kaggle.com}{Kaggle}}
{}
{\hspace{0.3cm}\href{https://www.kaggle.com/mbkinaci}{Kaggle Expert}}
{}
{}
{
{\begin{itemize}
\item Collected 3 silver and 2 bronze medals. Joining 20+ competitions.
\end{itemize}}
}
% \\
% \twentyitem
% {2017 ALES}
% {}
% {\hspace{0.3cm}Ranked 147th in Turkey}
% {}
% {}
% {
% {\begin{itemize}
% \item Achieved a ranking of 147th out of 300 thousand participants in the 2017 Spring ALES (Academic Personnel and Postgraduate \newline Education Entrance Exam).
% \end{itemize}}
% }
\\
\twentyitem
{2012 YGS}
{}
{\hspace{0.3cm}Ranked 300th in Turkey}
{}
{}
{\begin{itemize}
\item Attained a position of 300th among 1.86 million candidates in the 2012 YGS (The Transition to Higher Education Examination).
\end{itemize}}
\end{twenty}
\newpage
\makeseconda % Print the sidebar
%----------------------------------------------------------------------------------------
% PROJECTS
%----------------------------------------------------------------------------------------
\section{Projects}
\begin{twenty} % Environment for a list with descriptions
\twentyitem
{Django}
{App}
{\hspace{0.3cm}\href{https://muhammedbuyukkinaci.com}{muhammedbuyukkinaci.com}}
{\href{https://github.com/MuhammedBuyukkinaci/muhammedbuyukkinaci.com}{\textbf{GitHub Link}}}
{}
{
{\begin{itemize}
\item A Django Application deployed on a VPS of DigitalOcean.
% \item Used Bootstrap, JavaScript, PostgreSQL, NGINX, Gunicorn and Docker to build up the website.
\end{itemize}}
}
\\
\twentyitem
{Behavioral}
{Economics}
{\hspace{0.3cm}The Effect of Costly Reporting on Coordination Behavior}
{}
{}
{
{\begin{itemize}
\item A Study of Helping and Retaliation in behavioral economics.
\item Developed the experiment using Python's OTree library, which is a Django wrapper.
\item Prepared the experiment for different scenarios.
\item The developed project to be used in the academic research of \newline respectable professors such as Arhan Ertan, Louis Putterman and Kenju Kamei.
\end{itemize}}
}
\\
\twentyitem
{Ecological}
{Inference}
{\hspace{0.3cm}Unveiling The Dynamics of Vote Flows in Turkey's Elections}
{}
{}
{
{\begin{itemize}
\item The project developed for a research center focusing on Social Sciences. Aimed to understand vote flows between political parties in different elections.
\item Used PyEI library of Python in order to develop an ecological inference model. County-level data used to build the model.
\item Had converged results with reasonable 95th percentile confidence intervals for the 2023 and 2024 elections.
\end{itemize}}
}
\\
% \twentyitem
% {Time}
% {Series}
% {\hspace{0.3cm}Bitcoin Trading}
% {\href{https://github.com/MuhammedBuyukkinaci/Bitcoin-Trading}{\textbf{GitHub Link}}}
% {}
% {
% {\begin{itemize}
% \item Built up an LSTM model to predict price volatility on 4-hourly Bitcoin data.
% \item Obtained a fractional signal for trading.
% \end{itemize}}
% }
% \\
% \twentyitem
% {Image}
% {Segmentation}
% {\hspace{0.3cm}DeText}
% {\href{https://github.com/MuhammedBuyukkinaci/DeText}{\textbf{GitHub Link}}}
% {}
% {
% {\begin{itemize}
% \item Created a simulated dataset by overlaying text on images.
% \item Trained a UNet model to remove text from images via TensorFlow.
% \end{itemize}}
% }
% \\
% \twentyitem
% {Image}
% {Classification}
% {\hspace{0.3cm}Multiclass Image Classification With TensorFlow}
% {\href{https://github.com/MuhammedBuyukkinaci/TensorFlow-Multiclass-Image-Classification-using-CNN-s}{\textbf{GitHub Link}}}
% {}
% {
% {\begin{itemize}
% \item Training a CNN (AlexNet) on multiple classes from scratch.
% \end{itemize}}
% }
% \\
% \twentyitem
% {Object}
% {Localization}
% {\hspace{0.3cm}Object Localization With TensorFlow}
% {\href{https://github.com/MuhammedBuyukkinaci/Object-Classification-and-Localization-with-TensorFlow}{\textbf{GitHub Link}}}
% {}
% {
% {\begin{itemize}
% \item Building a multiple-headed CNN, one for regression and one for classification.
% \end{itemize} }
% }
% \twentyitem
% {Sentiment}
% {Analysis}
% {\hspace{0.3cm}Sentiment Analysis with TensorFlow}
% {\href{https://github.com/MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data}{\textbf{GitHub Link}}}
% {}
% {
% {\begin{itemize}
% \item Solving the binary classification problem with LSTM's and GRU's.
% \item Implementing Conv1D and Conv2D before LSTM and GRU layers.
% \item Adding Attention layer \& BN layer before Dense layers.
% \end{itemize}}
% }
% \\
\end{twenty}
\section{Certificates}
\begin{twenty} % Environment for a list with descriptions
\twentyitem
{AWS}
{}
{\hspace{0.3cm}Introduction to Amazon Web Services}
{\href{https://www.udemy.com/certificate/UC-8773cc22-c86d-43a9-89ad-4c4e8e02aa38/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 25-hours AWS Course on Udemy.
\item Learned fundamentals of AWS and services like EC2, S3, IAM, VPC, RDS, ECR, EKS and DynamoDB etc.
\end{itemize}}
}
\\
\twentyitem
{Docker}
{}
{\hspace{0.3cm}Docker A-Z™}
{\href{https://www.udemy.com/certificate/UC-c1ab98de-9803-452b-9166-8ef3ae797e5a/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 16-hours course on Udemy. Learned basics of Docker.
\end{itemize}}
}
\\
\twentyitem
{Kubernetes}
{}
{\hspace{0.3cm}Kubernetes Basics}
{\href{https://www.udemy.com/certificate/UC-ffd4189d-0bd4-4cde-9845-bf7c5e5bbf22/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 17-hours Kubernetes Course on Udemy.
\item Learned fundamentals of Kubernetes and K8s objects such as Pod, Deployment, Service, Ingress, Cronjob etc.
\end{itemize}}
}
\\
\twentyitem
{MLOps}
{}
{\hspace{0.3cm}Complete MLOPS Bootcamp}
{\href{https://www.udemy.com/certificate/UC-2296034a-bb96-4d35-80b5-dd956cceeeb7/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 3.5 hours MLOps course.
\item Learned useful tools for MLOps practices.
\end{itemize}}
}
\\
\twentyitem
{Linux}
{}
{\hspace{0.3cm}Linux A-Z™}
{\href{https://www.udemy.com/certificate/UC-74719d94-89af-44ba-ab2d-4299dd2ec3dd/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 10-hours Linux Course on Udemy.
\item Elevated my Linux knowledge to an advanced level.
\end{itemize}}
}
\\
\twentyitem
{Big Data}
{}
{\hspace{0.3cm}Big Data A-Z™}
{\href{https://www.udemy.com/certificate/UC-4a851250-cc99-4a9d-8f7c-d8a32ed0a832/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 12-hours Big Data Course on Udemy.
\item Learned basics of Apache Kafka, Apache Hive, Hadoop, Apache Spark and other NoSQL technologies.
\end{itemize}}
}
\\
\twentyitem
{Airflow}
{}
{\hspace{0.3cm}Introduction to Apache Airflow}
{\href{https://www.udemy.com/certificate/UC-634f3164-fcb1-4bdf-b5b0-909134dd3252/}{\textbf{Certificate Link}}}
{}
{
{\begin{itemize}
\item Completed a 2.5 hours Airflow course.
\item Learned fundamentals of Airflow.
\end{itemize}}
}
\end{twenty}
% \section{References}
% \begin{twenty} % Environment for a list with descriptions
% \twentyitem
% {Reference 1}
% {}
% {\hspace{0.3cm}Onur Tüfekçioğlu}
% {\textbf{Senior System Engineer at Turkcell}}
% {}
% {
% {\begin{itemize}
% \item E-mail Address: tufekciogluonur@gmail.com
% \end{itemize}}
% }
% \\
% \twentyitem
% {Reference 2}
% {}
% {\hspace{0.3cm}Fatih Öztürk}
% {\textbf{Data Scientist at h2o.ai}}
% {}
% {
% {\begin{itemize}
% \item E-mail Address: fatihozturk1994@gmail.com
% \end{itemize}}
% }
% \end{twenty}
\end{document}
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