Academic & Math Teacher & Data Scientist 

Education:

2022 May-August | Data Science Bootcamp | Spiced Academy, Berlin, Germany

2022 February-March | IT - Course | Digital Career Institute, Berlin, Germany

2007-2013 | Ph.D. in Mathematics ( Computational Algorithmic Algebraic Number Theory ) | TU Berlin,

Berlin, Germany (in English)

2004-2008 | Ph.D. in Mathematics ( Number Theory ) | Selcuk University, Konya, Turkey

2001-2003 | M.Sc. in Mathematics ( Number Theory ) | Selcuk University, Konya, Turkey

1997-2001 | B.Sc. in Mathematics | Ahmet Kelesoglu Faculty of Education, Konya, Turkey

Professional Experience:

2018- 2021 Associate Professor, Department of Mathematics, Faculty of Science

Çankırı Karatekin University, Çankırı, Turkey

• Lead 4+ financial award winning projects successfully by defining project milestones and identifying complex mathematical problems to deliver before the deadline.
• Worked as a mathematics professor with almost 20 years of experience in research and teaching.
• Designed and implemented interactive learning programs by adapting various teaching styles.
• Participated in over 20 international conferences, workshops, presented worldwide talks, and have 8+ scientific publications.

2010- 2018 Assistant Professor, Department of Mathematics, Faculty of Science

Çankırı Karatekin University, Çankırı, Turkey

• Fostered students learning in critical and analytical thinking through discussions and problem- solving in a wide range of mathematics classes.
• Taught Linear Algebra, Algebra, Number Theory and Calculus courses to over 1000+ undergraduate mathematics students that contains fundamental concepts for Machine & Deep learning and Artificial Intelligence (AI) in Data Science.

2001-2010 Research Assistant, Department of Mathematics, Ahmet Kelesoglu Faculty of Education,

Konya, Turkey.

• 2009 Tutor, Linear Algebra (in German), Mathematics Institute, TU Berlin
• Supervised and mentored over 500+ undergraduate mathematics students.
• Helped students improve their problem-solving skills.

Courses Thought:

• Linear Algebra I for Engineers (Tutor, using multimedia teaching platform MUMIE in German at TU Berlin)
  At Çankırı Karatekin University, Department of Mathematics;
• Abstract Algebra I and II
• Number Theory
• Algebra I and II
• Linear Algebra I and II
• Calculus I

Other Information:

• Non Smoker
• Has experience and ability to work in teams.

Academical Activities:

Presentations

• BIFOLD Summer School 2023 on Artificial Intelligence  and Ecological Sustainability, September 11-15, 2023 Berlin, Germany (participation)
• Women in Algebra and Symbolic Computation Conference, December 9-11 2019, Bad Dürkheim, Germany (talk given)
• A CIMPA research school on Group  Actions in Arithmetic and Geometry, February 17th-28th 2020, Gadjah Mada University, Yogyakarta, Indonesia
• ICCGNFRT-2019, October 16-19th 2019, Harish-Chandra Research Institute, Allahabad, India                (invited speaker)
• MPIM, invited visitor, February 25- March 2, 2018, Bonn,Germany
•  Antalya Algebra Days XX, May 16th -20 th 2018, Nesin Mathematics Village, Izmir,Turkey
•  Emil Artin International School on the  The Mathematics of Artin"s Conjectures,  May 21th-25th 2018, Yerevan State University, Yerevan, Armenia
• Conference on Elementare und Analytische Zahlentheorie, September 3-7 2018, Max Planck Institute for Mathematics, Bonn, Germany
•  The Fifth Mini Symposium of the Roman Number Theory Association, April 10-12, 2019,  Rome, Italy (participation)
•  Charles University, Department of Mathematics, May 21th 2019 , Prague, Czechoslovakia (talk given)

• Conference on " Enumerative Arithmetic and the Cohen-Lenstra Heuristics " , June 3-7 2019, Max Planck Institute for Mathematics, Bonn, Germany (participation)

• Group Theory in Berlin , September 19-21th 2019, Berlin, Germany
• International Research School on Computational Number Theory,  30 October 2017 -03 November 2017, İzmir Institute of  Technology, İzmir, Turkey
• CIMPA-ICTP Research School on Artin L- Functions, Artin's Primitive Roots Conjecture and Applications, May 29th- June 9th 2017, Nesin Mathematics Village, Şirince, Turkey
• WIN-E2, Women in Numbers Europe, Lorentz Center, 25-30 September 2016 , Leiden, Netherlands (invited speaker)
• 3rd Workshop of Association for Turkish Women in Maths, 27-29 May 2016, İzmir, Turkey
• 4th Cemal Koç Algebra Days, METU, 22-23 April 2016, Ankara, Turkey
• Tenth Algorithmic Number Theory Symposium ANTS-X, University of California, San Diego, July 9-13, 2012 , USA (poster presentation)
• Second RISC/SCIence Training School in Symbolic Computation, Linz, Austria, 2007
•  Departmental Seminar at TU Berlin, Institute of Mathematics, Berlin, Germany (Representation of Primes with Specific Discriminants), 2005
•  XVIII. National Mathematics Symposium, Istanbul Kültür University, Istanbul,Turkey, 05-08 July 2005
  (presentation)
• Departmental Seminar at Bosphorus University, Mathematics Department, Istanbul,Turkey  (On Binary Quadratic forms and Genus Theory), 2005
• VII. Antalya Algebra Days , 18-22 May 2005, Antalya, Turkey 
• V. METU National Science and Mathematics Education Congress, 16-18 September 2002, Ankara,
  Turkey 
• XV.National Mathematics Symposium, Mersin University, 4-7 September 2002, Mersin, Turkey 
  
  

Publications (selected):

•  “A conjecture on Units of Quadratic Fields”, Experimental Mathematics, vol. 23 p. 95 - 98, 2014
• “On Chebyshev Polynomials and GL(2; Z/pZ)”, (with C. Pommerenke), Bull. Math. Soc. Sci. Roumanie, vol 55, (103) no. 4, p. 353 -364, 2012
•  “On the Powers of Integers and Conductors of Quadratic Fields ”(with M. E. Pohst), Publ. Math. Debrecen, vol. 83/1 -2, p. 227 -239, 2013 
• “Representation of Prime Powers by Binary Quadratic Forms”, Pure Mathematical Sciences, vol. 1, no.1, p. 95 -106, 2012
  
  

Projects&Awards&Scholarships

• Support by Research Project from TUBITAK (Türkish Scientific and Technical Research Council), 2005
  Project Number:105T070TBAG-HD/47
•  Research grant by TUBITAK EU 6th Framework Programme for a research stay at Department of Mathematics, Faculty of Science, Bosphorus University, Istanbul, Turkey,  2005
• Scholarship from “TU Berlin Frauenbeauftragte promotionabschlussstipendium ”to complete Ph.D. at
  the last six months of Ph.D. study
• Scholarship to attend Second RISC/SCIence Training School in Symbolic Computation, Linz, Austria, 2007
• Support from DAAD for foreign doctoral students in consideration of recitation sessions for one semester at Institute of Mathematics, TU Berlin, 2009
• Support from ANTS-X organizing comittee for attending ANTS-X Symposium in San Diego,  July 9-13, USA, 2012

Some useful links, groups, newsletters I follow ( I update from time to time):

• DataTalks.Club (via Slack) 
• https://towardsdatascience.com
• Artificial Intelligence, Digital Transformation Data Science, Machine Learning Analytics (Linkedin)
• Big Data, Data Science, AI, IoT, Cyber Security & Blockchain (Linkedin)
• https://medium.com

Programming Languages & Software:

• Python : Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Keras, OpenCV, Seaborn, SpaCy
• SQL : MySQL
• Git (Version Control Syst.), GitHub
• HTML & CSS (mark up languages)
• Bash
• LaTeX
• C++
• MS Office

BI/Data Visualisation:

• Metabase
• Power BI

Database:

• NoSQL-MongoDB
• PostgreSQL

Cloud Systems and Deployment:

• AWS (EC2, RDS), Heroku, Streamlit, Google
• Docker/ETL

Operating Systems:

• Linux, Unix, Microsoft Windows (all versions), Apple MacOS
• Mobile: iOS, Android OS, Windows OS

Certifications

• Spiced Academy Data Science Certificate :

Data Visualization, Classification (Decision Trees), Artificial Neural Networks (ANN & CNN), Time Series Analysis, Regression, Text Classification, Data Pipeline, Markov Simulation, Recommender Systems, A/B Testing, Fraud Detection, Streamlit, Apache Airflow

• Digital Career Institute Certificate:

Web Development (HTML&CSS), AWS, Cloud computing, Online marketing I-V (Buyer Persona, Business Model, Customers Journey)

Project Management Methodologies: Kanban, Scrum, Agile

• Data Management Masterclass- The Complete Course (Udemy)

• Coursera Data Science Certificate (pursuing)

Rstudio, R programming, Debugging, Exploratory Data Analysis (EDA), Data Manipulation, Regular Expression (REGEX), Data cleansing, Cluster Analysis

• VHS (Volkshochschule-in german) Certificates:

Effective data communication with data storytelling

Statistics for data science

• Language Skills: 

Telc C2 German Language Certificate  (issue date: October 2024)

Telc C1  Hochschule German Languge Certificate 

Telc C1 German  Occupational German Language Certificate ( issue date: August 2023)

B2 German Goethe Institute Berlin Language Certificate

English (fluent) (TOEFL CBT 2001)

Turkish (mother tongue)

I am an academic, math teacher and data scientist. I have a passion for machine learning and actively seek opportunities to apply it in various domains.

Hands-On Projects:

• Driver Drowsiness Detection (Deep Learning Project)

The program detects the drivers' drowsiness using the Kaggle dataset. My system generates an alarm when the driver's eyes closed for an unusual time. I did it in real-time and utilized deep learning techniques such as transfer learning. 

Tech Stack: TensorFlow (Keras), OpenCV, NumPy, Pygame, VScode, Jupyter Notebook, Convolutional Neural Network

NB. This is a program that has already been used in cars, and there are various techniques to achieve it. There are thousands of scientific articles presenting different approaches. Nevertheless, The challenge of accomplishing this project in real-time intrigued me. 

• Recommender Systems

A web application that showcases different movie recommendation algorithms.

Tech Stack: Scikit-Learn, NumPy, Matplotlib, Pandas, Seaborn, Pickle

• Deep Learning

I  built an Artificial Neural Network that recognizes objects that I hold into the webcam.

Tech Stack: TensorFlow (Keras), NumPy, Matplotlib, Pandas

• Markov Simulation (Customer Behaviour Simulation)

I wrote a program that simulates customer behaviour in a supermarket.

Tech Stack: Algorithm Design, Python OOP,  NumPy, Matplotlib, Pandas, Datetime, Seaborn, Monte-Carlo Simulation, Git

• Time Series Analysis (Temperature Forecast)

I created a short-term temperature forecast.

Tech Stack: Signal Processing, ARIMA/SARIMA Model, NumPy, Matplotlib, Seaborn, Box-Jenkins Method

• Twitter Sentiment Analysis (Natural Language Processing)

• Dashboard

I built a dashboard summarizing the Northwind Database. It is a sample database that is shipped along with Microsoft Access. The data is about “Northwind Traders”, a fictional company. The database contains all sales transactions between the company and its customers as well as purchases from Northwinds suppliers.

Tech Stack: PostgreSQL database

• Text Classification (Song Lyrics Classification)

I built a text classification model on song lyrics and predict the artist from a piece of text.

Tech Stack: Regex, BeautifulSoup, NLTK, Spacy, NumPy, Pickle, Matplotlib, Scikit-Learn, Naive Bayes, Random Forest

• Regression

Machine learning based dashboard that uses Linear Regression to predict demand for bicycle rentals at any given hour, based on time and weather.

Tech Stack: Scikit-learn, Numpy, Matplotlib, Pandas 

• Classification

Using Titanic Kaggle Dataset I predicted whether passenger survived the disaster or not.

Tech Stack: Pandas, Matplotlib,Decision Trees, Random Forests, Logistic Regression