Behzad Aslani Avilaq

Senior Data Scientist
As a senior data scientist, I have the ability to extract insights and valuable information from complex data sets. With my expertise in statistical analysis, machine learning, deep learning, optimization, and data visualization, I can turn raw data into meaningful solutions for businesses and organizations.
Let's start scrolling and learn more about me.

Scroll Down

About Me

As a PhD candidate in Information and Communication Engineering, currently in the thesis stage, my academic background includes a BSc degree in Applied Mathematics and a MSc degree in Applied Informatics, I am a data scientist with extensive experience in working with big data, a proven track record of analyzing data and building and deploying sophisticated machine learning, deep learning, and optimization algorithms from scratch. My mathematics and statistics background allows me to effectively model and solve problems, and interpret results.

Istanbul, Turkey

Education

  • Ph.D. Information & Communication Eng., Department of Applied Informatics, Istanbul Technical University, Turkey
  • M.Sc. Applied Informatics, Department of Applied Informatics, Istanbul Technical University, Turkey, GPA : 3.94
  • B.Sc. Applied Mathematics, Department of Applied Mathematics, University of Tabriz, Iran

Career

Majorel Türkiye

Senior Data Scientist October 2021 - Present

Vodafone Future Lab

Data Scientist September 2018 - September 2021

TÜBİTAK

Data Science Researcher | Bioinformatician August 2016 - August 2018

As of my enrollment in Applied Informatics department at Istanbul Technical University, I worked on a scientific research project funded by the Scientific and Technological Research Council of Turkey (TÜBİTAK).

Skills

  • Python : Pandas, Numpy, Matplotlib, Scikit-learn, Tensorflow, Scipy
  • Shell Scripting
  • Databases & SQL
  • Qlik Sense
  • Bioinformatics Tools
  • Machine Learning
  • Deep Learning
  • Big Data
  • Data Cleaning
  • Apache Spark
  • Tableau
  • TCL
  • Windows, Linux, Mac
  • HTML, CSS

CourseWork

During Ph.D.
  • Machine Learning
  • String Algorithms
  • Computational Neuroscience
  • Data Science
  • Statistical Learning
  • Advanced Modeling and Simulation of Markovian Systems
During M.Sc.
  • Data Analysis and Visualization
  • Business Process Management
  • Applied Informatics in Structural Biology
  • Cheminformatics
  • Advanced Analyses for Molecular Dynamics Simulations
  • Cyber Law
During B.Sc.
  • Advanced Programming with C & C++
  • Statistics and Probability I & II
  • Graph Theory
  • Time Series
  • Data Structures
  • Statistical Methods
  • Stochastic Processes
  • Operations Research I and II
Specializations
  • IBM Introduction to Data Science ↓
  • IBM Data Science Fundamentals with Python and SQL↓
  • IBM Data Science↓
  • IBM Applied Data Science↓
  • Advanced Data Science with IBM↓
Online Courses
  • DeepLearning.AI: Neural Networks and Deep Learning↓
  • NVIDIA: Applications of AI for Anomaly Detection↓
  • NVIDIA: Fundamentals of Deep Learning↓
  • IBM: Data Science Orientation↓
  • IBM: Tools for Data Science↓
  • IBM: Data Science Methodology↓
  • IBM: Python for Data Science and AI & Development ↓
  • IBM: Databases and SQL for Data Science↓
  • IBM: Statistics for Data Science with Python↓
  • IBM: Data Analysis with Python↓
  • IBM: Data Visualization with Python↓
  • IBM: Machine Learning with Python↓
  • IBM: Applied Data Science Capstone↓
  • IBM: Introduction to Data Analytics↓
  • IBM: Fundamentals of Scalable Data Science↓
  • IBM: Scalable Machine Learning on Big Data using Apache Spark↓
  • IBM: Advanced Machine Learning and Signal Processing↓
  • IBM: Applied AI with DeepLearning↓
  • IBM: Advanced Data Science Capstone↓
  • Johns Hopkins University: The Unix Workbench↓
  • UC Davis: Fundamentals of Visualization with Tableau↓
  • Coursera: Machine Learning Pipelines with Azure ML Studio↓
  • IBM: Deep Learning Fundamentals↓
  • IBM: Big Data 101↓
  • Kaggle: Data Cleaning↓

Publications

  1. Avilaq B.A., Baday S. Investigation of Drug Resistance Mechanisms for Antiandrogen Prostate Cancer Drug Enzalutamide using Molecular Dynamics Simulations, Biophysical Journal, Vol 118:3, pp. 194a, 2020.↓
  2. Jahantigh F.F., Malmir B., Avilaq B.A. An Integrated Approach for Prioritizing the Strategic Objectives of Balanced Scorecard under Uncertainty, Neural Computing & Applications, 2016.↓
  3. Jahantigh F.F., Malmir B., Avilaq B.A. Computer-Aided Diagnostic System for Kidney Disease, Kidney Res Clin Pract., Vol. 36:1, pp. 1-10, 2017.↓
  4. Jahantigh F.F., Malmir B., Avilaq B.A. Economic Risk Assessment of EPC Projects using Fuzzy TOPSIS Approach, Int. J. Industrial & Systems Engineering, Vol. 27:2, pp. 161-179, 2017.↓
  5. Malmir B., Aghighi A., Najjartabar M., Ala A., Avilaq B.A., Dehghani S. Application of A New Multi-Criteria Decision Making Method for Warehouse Location Problem, Int. J. Value Chain Management, Vol. 7:3, pp. 255-270, 2015.↓

BOARD MEMBER

TECHNICAL BOARD MEMBER OF SCIENTIFIC JOURNALS

Co-editor
  • International Journal of Applied Optimization Studies
Reviewer
  • Computers and Industrial Engineering↓
  • Neural Computing and Applications
  • Computers in Biology and Medicine↓
  • Computer Methods and Programs in Biomedicine
  • Safety and Health at Work↓

Research Interests

  • Data Analysis
  • Hybrid Machine Learning | Deep Learning – Heuristic Approaches
  • Self-Learning AI with Deep Learning
  • Brain Computer Interface (BCI)
  • Computer Brain Interface (CBI)
  • Protein | DNA Modeling and Simulation

Say Hello

Have a new project in mind? Let's collaborate and build something awesome. Let's turn that idea to an even greater product :)

Academic Email

avilaq16@itu.edu.tr

Gmail

behzadsln@gmail.com

Let's Talk