CV, Experienced UK Based Data Scientist Seeking Work In USA

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Serial No: 33613

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Skills keywords: big data, data science, deep learning, financial data analyst, machine learning, optimization algorithms, predictive analysis, time series analysis

Short Bio:

I am a UK based computer scientist. I received my PhD in computer science from the University of Nottingham which is regarded as one of the top universities in the UK. I have extensive knowledge in machine learning, data science, big data analytics and optimization. Currently, I'm working as a data scientist in the UK headquarters of a highly reputable US bank. I have hands-on experience with big data analytic platforms/tools/approaches such as Hadoop, Map-Reduce, Hive, Spark etc.

Current location:  England, United Kingdom - View on map

Nationality: Iranian

Preferred Sector of Employment:  Banking Insurance and Financial Services, IT and Technology, Pharmaceutical and Science

Spoken languages: azerbaijani, english, german, PERSIAN, Swedish, Turkish

Location I am interested in working: Anywhere

Education & Qualifications

University of Nottingham, Nottingham, UK  2012-2015
PhD in Computer Science

Title of Thesis: Machine Learning for Improving Heuristic Optimization

Research Topics: Data Science, Machine Learning, Operational Research

Istanbul Technical University, Istanbul, Turkey  2010- 2012
Master of Science Degree in Computer Engineering, Feb 2012

Research Topics: Machine Learning, Data Science, Robotics, Image & Video Processing

University of Isfahan, Isfahan, Iran 1998-2003
Bachelor of Science Degree in Computer Engineering, Feb 2003

Graduation Project Title: Fuzzy Expert System

Career Experience

Capital One Europe (current position)
Aug 2015-Present

Data Scientist:

• Design and implementation of machine learning algorithms for big data analysis:

◦ acquisition risk modelling (deep learning)

◦ fraud detection (statistical analysis)

◦ direct mail targeting (deep learning)

• Bringing fresh ideas to the company and presenting most recent advances in machine learning to a diverse audience of managers, business analysts and data scientists.

• Improving the performance of available models using optimization techniques such as Genetic Algorithms

Notice: my work in Capital One is almost always hands-on. I also have passed my probation period which was cut short due to high performance.

Turkish Telecom (in collaboration with Koc University)
2012

Computer Scientist: Design and implementation of a system, capable of synthesizing animated gestures using audio/video records of human actors. The final implementation was in C++ and relied on Hidden semi-Markov Models for learning.

Divit Argenit, Turkey (http://www.argenit.com.tr/ )
2011-2012

Computer Scientist: Developing machine learning techniques for classification of human g-banded chromosomes in karyotype images. (Multivariate Classification/C++)

Nexus, Turkey
2010

Data Science: Duplicate detection/Fraud discovery in GSM registration data.(Expectation Maximization/C++)

AIR Laboratory, Istanbul Technical University (http://air.cs.itu.edu.tr/beestanbul)
2009-2011

Computer Scientist/Robotics: Designing machine learning and optimization algorithms for self-learning, soccer playing humanoid robots for the RoboCup competitions.

Other Experiences (prior to post graduate studies)
2001-2009

Involves software development (C++, Java and VB.NET), Siemens PLC engineering and industrial automation.

Skills

4+ years of experience in Machine Learning, Statistical Analysis, Optimization/Evolutionary Algorithms. Almost 2 years of experience in Big Data techniques/interfaces (Hadoop, HDFS, Map-Reduce, Spark, Hive). 8+ years of experience in Matlab, R, C/C++, Java, Python and SQL.

Awards

First in MISTA Challenge on “Multi-mode resource-constrained multi-project scheduling” 2013

University of Nottingham: Vice Chancellor’s Scholarship for International Research Excellence 2012

Istanbul Technical University: 1st in the MSc in CE student’s cohort of 2012 2012

University Entry Exam (Iran): a nation-wide rank of 840 (among approximately 1,500,000 students). 1998
The exam is held annually in Iran and is considered to be one of the toughest in the world.