Mahsun ALTIN - Data Scientist
Phone: - | E-mail:-| Personal Website: www.mahsunaltin.com
LinkedIn: linkedin.com/in/mahsunaltin | Google Scholar: https://scholar.google.com/mahsun | GitHub: github.com/mahsunaltin
——————————————————— Education & Professional Experiences ———————————————————
Abdullah Gul University / Undergraduate Computer Engineering - September 2016 - January 2021, Kayseri, Turkey
Graduated with Upper Second Class Honour. GPA: 3.36
University Of La Verne / Student in English Language School - July 2017 - August 2017, La Verne, California, USA
Joined the English for Academic Purposes Intensive program in ELS La Verne University, California, USA.
University College Dublin / Visiting Researcher Intern - June 2019 - September 2019, Dublin, Ireland
Studied human behavior recognition through video processing by using neural network models.
Nokia / Erasmus+ Participant as ML Developer - December 2019 - June 2020, Poland
Worked on Erasmus project, run by Nokia and aims to create effective tools to recruit top talents from the market.
TurkNet / Data Scientist - Intern Full-time - July 2020 - September 2020, Istanbul, Turkey
Worked on several analysis and visualization of Big Data by ML algorithms and tools, like AWS, Apache Spark, Plotly.
Data Scientist - Junior Full-time - September 2020 - August 2022, Istanbul, Turkey
Worked on several data analysis by using SQL queries intensely, and visualization tools like Tableau
Data Scientist - Mid-Level Full-time - August 2022 - Ongoing, Istanbul, Turkey
Expertesing in big data processing technologies with large volume datasets; and contributed to various end-to-end projects involving customer segmentation, intelligent
network monitoring, ad-hoc reporting, and academic support.
Istanbul Technical University / PhD - September 2021 - Ongoing, Istanbul, Turkey
Working on data-driven management solutions for big data systems, implementing data analytics-based management strategies, and designing big data system architectures.
————————————————————————— Projects —————————————————————————
Scoring Central POPs / Neural Network Models & Analysis - January 2023 - Ongoing, TurkNet
Conducted near real-time analysis of customer behaviors based on ISPs central POPs scoring and published academic paper.
Customer Segmentation / Neural Network Models & Analysis - September 2023 - Ongoing, TurkNet
An end-to-end project, including geographic, demographic, and behavioral customer segmentation by handling large volume datasets like exceeding 250 GB per day.
Similarities of Human Actions / Neural Network Models & Analysis - June 2019 - May 2020, Remote, UCD
Splitted videos by using (I3D) neural network model on Python to recognise human actions. Worked on Big Data on Google Cloud Platform and published academic paper.
Global Recruitment Tool / Developing Online Tool for Nokia - December 2019 - June 2020, EPIC Erasmus Project with Nokia
It's an Erasmus project, run by Nokia and worked with an international 5 people team by using Deep Learning (CNN and RNN) and creating API by Flask. Attended
“Intensive Programs for Higher Education Learners” Seminar in Hamburg, Germany.
Quadcopter Drone / Python & DroneKit - November 2018 - September 2019, IEEE Student Branch
Finished this project for competition, organized by Tubitak, with 7 people; and played a role in the software part of the drone project by using Python and its libraries like
DroneKit, Numpy, Pandas on Linux.
Predicting Cast and Director Collaboration / Social Network Analysis - October 2019 - January 2020, AGU Social Network Analysis Lecture
Finished a term project which combines the graph analysis and ML algorithms between IMDB’s cast and directors by using analysis techniques like Node2Vec, Logistic
Regression, Neural Network models; data collection techniques like web scraping.
———————————————————————— Publications ————————————————————————
Teach A Human Activity Recognition Machine Inductive Reasoning Through Hierarchical Labeling
Mahsun Altin, Furkan Gursoy, Lina Xu - IEEE Xplore - Published
In this paper, we have proposed an alternative idea to increase I3D model accuracy through creating higher level summarizing labels for
groups of human activities.
Intelligent Network Monitoring System Using an ISP Central Points of Presence
Yousef Alkhanafseh, Mahsun Altın, Altan Çakır, Esra Karabıyık, Ekrem Yıldız, Sencan Akyüz - Springer, Infus ‘23 Conference - Published
This research aims to enhance ISP services by conducting near real-time analysis of customer behaviors based on central Points of
Presence (POP) scoring. Also, RNN architectures, namely LSTM and GRU are utilized for daily sales predictions.
————————————————————— Volunteering Experiences —————————————————————
Erasmus+ / Volunteer - May 2018 - May 2018, Montenegro
Erasmus+, 2018 Erasmus+ activity in Montenegro, which has communication training courses. Project Title: #OnACT - Identifier: 589976-EPP-1-2017-1-ME-EPPKA2-CBY-WB
IEEE Student Branch / Board Member - www.aguieee.org - September 2018 - June 2019, AGU
Completed semester as board member in IEEE student branch. Created a portfolio website for AGU IEEE, which you can find from the link. Also, played active roles on
Arduino teaching, conferences, meetings and drone projects for competitions.
———————————————————————— References ————————————————————————
Prof. Altan Çakır / Professor, Dean of Research --Dean of Research and Professor at İstanbul Technical University, Istanbul, Turkey.
Dr. Lina Xu / Assistant Professor --Assistant Professor In the School of Computer Science in University College Dublin, Dublin, Ireland.
Prof. Cagri Gungor / Professor, Department Chair --Department Chair of Computer Engineering, Abdullah Gül University, Kayseri, Turkey
——————————————————————— Professional Skills ———————————————————————
Languages: Java (7 years experience), Python (5 year experience), C, C++, Scheme, JavaScript, Php, Dart, Go, R (Familiar)
Database Management Systems: MYSQL, MSSQL, PostgreSQL, MongoDB, NoSQL
Content Management Systems: LaTEX, WordPress, Blogger
Tools: Amazon Web Services, Google Cloud Platform, Tableau, Microsoft Power BI, Spark, ELK, Django, Airflow, PyTorch, PyG, NetworkX, Scikit-learn, Keras,
TensorFlow, Flask, Git, Pandas, NumPy, Matplotlib, Seaborn, version control (GitFlow), CI/CD, Android Studio, Firebase, MSSQL Server Management Studio, PGAdmin,
MYSQL Workbench, Git, Linux Environment, Flutter, Adobe Photoshop, Adobe Premiere, Adobe Indesign
